CN117829137A - Chinese language prime topic generation method, device, electronic equipment and storage medium - Google Patents

Abstract

The present disclosure provides a method, an apparatus, an electronic device, and a storage medium for generating Chinese morpheme topics, including: obtaining a target keyword and a target question type, wherein the target keyword is a Chinese character or vocabulary; determining a search database and a search field in a preset Chinese character database, a preset vocabulary database and a preset sentence database according to the target question type; determining query conditions according to the target topic type, the target keyword, the search database and the search field; searching the data of which the value of the search field accords with the query condition in the search database as a query result; and generating Chinese morpheme titles according to the query result. The related data of the questions are automatically obtained according to the keywords and the question types, chinese morpheme questions are automatically generated, the Chinese morpheme questions which are comprehensive, accurate and personalized can be quickly obtained without manual participation, and the question-combining efficiency and accuracy are greatly improved.

Description

Method, device, electronic device and storage medium for generating Chinese morpheme titles

Technical Field

Embodiments of the present disclosure relate to the technical field of artificial intelligence, and in particular to a method, device, electronic device, and storage medium for generating Chinese morpheme titles.

Background technique

Morphemes are the smallest combination of sound, form and meaning in a language. Morpheme awareness is very important for Chinese reading. It can help learners fully understand the Chinese writing system, read and write compound words accurately, promote oral and written vocabulary learning, and promote syntactic analysis and reading comprehension in the process of learning Chinese.

By compiling Chinese morpheme questions, we can examine learners' ability to understand the pronunciation, form and meaning of Chinese characters, help develop learners' morpheme awareness, and improve learners' morpheme awareness as a training task. However, the existing question compilation method requires manual search for interference items in the dimensions of pronunciation, form and meaning, and compile according to specific research purposes. The compiled questions are often limited in number and single in dimension, and have certain limitations in question compilation efficiency and accuracy.

Therefore, how to improve the efficiency of compiling morpheme questions is a technical problem that technical personnel in this field urgently need to solve.

Summary of the invention

The embodiments of the present disclosure provide a method, device, electronic device and storage medium for generating Chinese morpheme titles.

In a first aspect, an embodiment of the present disclosure provides a method for generating a Chinese morpheme title, the method comprising:

Obtaining a target keyword and a target title type, wherein the target keyword is a Chinese character or a word, and the target title type is any one of character meaning analysis, homophone analysis, homophonic character analysis, homographic character analysis, synonym analysis, antonym analysis, or part of speech analysis;

According to the above target topic type, determining a search database and a search field in a preset Chinese character database, a preset vocabulary database and a preset sentence database;

Determine the query conditions according to the target topic type, the target keyword, the search database and the search field;

In the search database, data whose values of the search fields meet the search conditions are searched as the search results;

Based on the above query results, Chinese morpheme titles are generated.

Optionally, the above-mentioned target keyword and target title type are obtained, including:

In response to detecting a manual topic generation request input by a target user, obtaining the text input by the target user as the target keyword, and obtaining the topic type selected by the target user as the target topic type;

In response to detecting a batch generation question request input by the target user, any Chinese character is extracted from a preset text library as the target keyword, and any question type among word meaning analysis, homophone analysis, homophonic character analysis or homographic character analysis is determined as the target question type, or any vocabulary is extracted from the preset text library as the target keyword, and any question type among synonym analysis, antonym analysis or part of speech analysis is determined as the target question type.

Optionally, the preset Chinese character database stores at least two pieces of Chinese character information, and the Chinese character information includes at least one of the following: Chinese character, character meaning, character pronunciation, phonetic radical and radical;

The preset vocabulary database stores at least two vocabulary information, the vocabulary information including at least one of the following: vocabulary, synonyms, antonyms, parts of speech and Chinese character information of the Chinese characters in the vocabulary;

The preset sentence database stores at least two sentence information, and the sentence information includes at least one of the following items: a sentence and vocabulary information of the vocabulary in the sentence.

Optionally, the above-mentioned determination of the search database and search field according to the above-mentioned target topic type includes:

In response to the target topic type being word meaning analysis, determining that the search database is the preset Chinese character database, the preset vocabulary database, and the preset sentence database, and the search field is the word meaning field;

In response to the target topic type being homophone analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is a pronunciation field;

In response to the target topic type being homophone analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is the phonetic field;

In response to the target topic type being homographic character analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is the radical field;

In response to the target topic type being synonym analysis, determining that the search database is the preset vocabulary database and the preset sentence database, and the search field is a synonym field;

In response to the target topic type being antonym analysis, determining that the search database is the preset vocabulary database and the preset sentence database, and the search field is an antonym field;

In response to the target topic type being part of speech analysis, the search database is determined to be the preset vocabulary database and the preset sentence database, and the search field is a part of speech field.

Optionally, the query results include matching item data, distractor item data and question stem data; and

The query conditions are determined based on the target topic type, the target keyword, the search database and the search field, including:

In response to the target question type being word meaning analysis, the query condition is determined to be obtaining any word meaning of the target keyword in the preset Chinese character database as the test word meaning; obtaining a word including the target keyword and having the same meaning as the test word meaning in the preset vocabulary database as the matching item data; obtaining a word including the target keyword and having a different meaning from the test word meaning in the preset vocabulary database as the interference item data; obtaining a sentence including the target keyword and having the same meaning as the test word meaning in the preset sentence database as the question stem data;

In response to the target question type being homophone analysis, the query condition is determined as: obtaining any pronunciation of the target keyword in the preset Chinese character database as the examination pronunciation; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword in the preset Chinese character database that are the same as the examination pronunciation as the interference item data; obtaining a sentence including the target keyword and having the target keyword with the examination pronunciation as the question stem data in the preset sentence database;

In response to the target question type being homophone analysis, the query condition is determined as: obtaining the homophone of the target keyword from the preset Chinese character database as the examination homophone; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword whose homophone is the examination homophone from the preset Chinese character database as the interference item data; obtaining a sentence including the target keyword from the preset sentence database as the question stem data;

In response to the target question type being the analysis of characters with the same radical, the query condition is determined as: obtaining the radical of the target keyword from the preset Chinese character database as the test radical; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword whose radical is the test radical from the preset Chinese character database as the interference item data; obtaining a sentence including the target keyword from the preset sentence database as the question stem data;

In response to the target question type being synonym analysis, the query condition is determined as: obtaining synonyms of the target keyword in the preset vocabulary database as the matching item data; obtaining any vocabulary other than the synonyms of the target keyword in the preset vocabulary database as the interference item data; obtaining a sentence including the target keyword in the preset sentence database as the question stem data;

In response to the target question type being antonym analysis, the query condition is determined as: obtaining antonyms of the target keyword in the preset vocabulary database as the matching item data; obtaining any vocabulary other than the antonyms of the target keyword in the preset vocabulary database as the interference item data; obtaining a sentence including the target keyword in the preset sentence database as the question stem data;

In response to the target question type being part-of-speech analysis, the query condition is determined as follows: obtaining the part-of-speech of the target keyword in the preset vocabulary database as the test part-of-speech; obtaining vocabulary other than the target keyword in the preset vocabulary database that has the same part-of-speech as the test part-of-speech as the matching item data; obtaining vocabulary different from the test part-of-speech as the interference item data in the preset vocabulary database; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data.

Optionally, the Chinese morpheme question includes a stem, interference items and matching items, and the preset question generation template includes a stem format, the number of interference items and the number of matching items; and

Based on the above query results, Chinese morpheme titles are generated, including:

Select any sentence from the above question stem data, and generate the above question stem according to the question stem format corresponding to the above target question type;

Select the Chinese characters or words with the number of interference items from the interference item data, and generate a interference item respectively;

Select the Chinese characters or words of the number of the matching items from the matching item data, and generate a matching item respectively;

Arrange the above interference items and the above matching items in shuffled order, and associate them with the above question stem to form a Chinese morpheme question.

Optionally, the above method further includes:

Record the above interference items and the above matching items as the answers to the above Chinese morpheme questions.

Optionally, the above method further includes:

In response to failure to select the above number of distractor Chinese characters or words from the above distractor data or failure to select the above number of matching Chinese characters or words from the above matching data, failure reminder information is generated to indicate failure of question combination.

Optionally, the above method further includes:

Presenting a question stem and a question stem refresh operation display object, each distractor and a distractor refresh operation display object for each distractor, and each matching item and a matching item refresh operation display object corresponding to each matching item;

In response to detecting a selection operation of the question stem refresh operation display object, selecting any sentence other than the presented question stem from the question stem data, generating an updated question stem according to the question stem format corresponding to the target question type; and replacing the question stem with the updated question stem;

In response to detecting a selection operation of a distractor item refresh operation display object of any distractor item, selecting any Chinese character or word other than the distractor item presented above from the distractor item data to generate an updated distractor item; replacing the distractor item corresponding to the selected distractor item refresh operation display object with the updated distractor item;

In response to detecting a selection operation of a matching item refresh operation display object of any matching item, any Chinese character or word other than the matching item presented above is selected from the matching item data to generate an updated matching item; and the matching item corresponding to the selected matching item refresh operation display object is replaced with the updated matching item.

Optionally, the above method further includes:

Obtaining restriction conditions, the restriction conditions including question stem grade restriction conditions and interference item grade restriction conditions, the question stem grade restriction conditions are used to restrict whether the question stem data is derived from textbooks of restricted grades, and the interference item grade restriction conditions are used to restrict whether the interference item data is derived from textbooks of restricted grades; and

The above-mentioned search results of searching the above-mentioned search database for data whose values of the above-mentioned search fields meet the above-mentioned search conditions include:

The data whose value of the search field meets the search condition and the restriction condition are searched in the search database as the search result.

In a second aspect, an embodiment of the present disclosure provides a Chinese morpheme title generation device, the device comprising:

An acquisition module, used for acquiring a target keyword and a target topic type, wherein the target keyword is a Chinese character or a word, and the target topic type is any one of word meaning analysis, homophone analysis, homophonic character analysis, homographic character analysis, synonym analysis, antonym analysis or part of speech analysis;

A database field determination module, used to determine the search database and search fields in the preset Chinese character database, the preset vocabulary database and the preset sentence database according to the above target topic type;

A query condition determination module, used to determine the query condition according to the target topic type, the target keyword, the search database and the search field;

A query module, used to retrieve data whose values of the search fields meet the query conditions in the search database as query results;

The topic generation module is used to generate Chinese morpheme topics according to the above query results.

In a third aspect, an embodiment of the present disclosure provides an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in the first aspect.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method described in the first aspect when executed by one or more processors.

In order to improve the efficiency of compiling morpheme titles, the embodiment of the present disclosure provides a Chinese morpheme title generation method, device, electronic device and storage medium, including: obtaining a target keyword and a target title type, the target keyword is a Chinese character or a vocabulary, and the target title type is any one of a character meaning analysis, a homophone analysis, a homophone analysis, a homograph analysis, a synonym analysis, an antonym analysis or a part of speech analysis; according to the target title type, determining a search database and a search field in a preset Chinese character database, a preset vocabulary database and a preset sentence database; determining a query condition according to the target title type, the target keyword, the search database and the search field; in the search database, searching for data whose values of the search field meet the query condition as a query result; generating a Chinese morpheme title according to the query result. That is, by automatically obtaining the data related to the composition of the title according to the keyword and the title type, and automatically generating the Chinese morpheme title, no manual participation is required, thereby reducing the labor cost. In addition, since the composition data comes from the corresponding database, the error rate that may occur in the manual composition of the title can be reduced, and the efficiency of the composition of the title can be improved. In summary, comprehensive, accurate and personalized Chinese morpheme questions can be obtained quickly, and the efficiency and accuracy of question setting are greatly improved.

BRIEF DESCRIPTION OF THE DRAWINGS

Other features, objects and advantages of the present disclosure will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating specific embodiments and are not to be considered as limiting the present disclosure. In the drawings:

FIG1 is an exemplary system architecture diagram in which an embodiment of the present disclosure may be applied;

FIG2A is a flow chart of an embodiment of a method for generating Chinese morpheme titles according to the present disclosure;

FIG2B is a decomposed flow chart of an embodiment of a method for generating Chinese morpheme titles according to the present disclosure;

FIG2C is a decomposed flow chart of another embodiment of the method for generating Chinese morpheme titles according to the present disclosure;

FIG3 is a schematic diagram of a search database according to the method for generating Chinese morpheme titles disclosed herein;

FIG4 is a flow chart of another embodiment of a method for generating Chinese morpheme titles according to the present disclosure;

FIG5 is a schematic diagram of an interface of a method for generating Chinese morpheme titles according to the present disclosure;

FIG6 is a schematic structural diagram of an embodiment of a Chinese morpheme title generating device according to the present disclosure;

FIG. 7 is a schematic diagram of a computer system of an electronic device suitable for implementing an embodiment of the present disclosure.

Detailed ways

The present disclosure is further described in detail below in conjunction with the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It is also necessary to explain that, for ease of description, only the parts related to the relevant invention are shown in the accompanying drawings.

It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

FIG. 1 shows an exemplary system architecture 100 to which the embodiments of the Chinese morpheme topic generation method, apparatus, electronic device, and storage medium of the present disclosure can be applied.

As shown in Fig. 1, system architecture 100 may include terminal devices 101, 102, 103, network 104 and server 105. Network 104 is used to provide a medium for communication links between terminal devices 101, 102, 103 and server 105. Network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as learning applications, voice recognition applications, short video social applications, audio and video conferencing applications, video live broadcast applications, document editing applications, input method applications, web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

Terminal devices 101, 102, 103 can be hardware or software. When terminal devices 101, 102, 103 are hardware, they can be various electronic devices with display screens, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, Moving Picture Experts Group Audio Layer 3), MP4 (Moving Picture Experts Group Audio Layer IV, Moving Picture Experts Group Audio Layer 4) players, laptop computers and desktop computers, etc. When terminal devices 101, 102, 103 are software, they can be installed in the terminal devices listed above. It can be implemented as multiple software or software modules (for example, to provide services), or it can be implemented as a single software or software module. No specific limitation is made here.

In some cases, the Chinese morpheme title generation method provided by the present disclosure may be executed by the terminal devices 101, 102, 103, and accordingly, the Chinese morpheme title generation apparatus may be disposed in the terminal devices 101, 102, 103. In this case, the system architecture 100 may not include the server 105.

In some cases, the Chinese morpheme title generation method provided by the present disclosure can be jointly executed by the terminal devices 101, 102, 103 and the server 105. For example, the steps of "presenting the question stem and the question stem refresh operation display object, each distractor and the distractor refresh operation display object of each distractor, and each matching item and the corresponding matching item refresh operation display object of each matching item" can be executed by the terminal devices 101, 102, 103, and the steps of "obtaining the target keyword and the target title type" can be executed by the server 105. The present disclosure does not limit this. Accordingly, the Chinese morpheme title generation device can also be respectively set in the terminal devices 101, 102, 103 and the server 105.

In some cases, the Chinese morpheme title generation method provided in the present disclosure may be executed by the server 105 , and accordingly, the Chinese morpheme title generation device may also be set in the server 105 . In this case, the system architecture 100 may not include the terminal devices 101 , 102 , and 103 .

It should be noted that the server 105 can be hardware or software. When the server 105 is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or it can be implemented as a single server. When the server 105 is software, it can be implemented as multiple software or software modules (for example, for providing distributed services), or it can be implemented as a single software or software module. No specific limitation is made here.

It should be understood that the number of terminal devices, networks and servers in Figure 1 is only illustrative. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

2A, which shows a process 200 of an embodiment of a method for generating Chinese morpheme titles according to the present disclosure. The method for generating Chinese morpheme titles includes the following steps:

Step 201, obtaining target keywords and target topic types.

In this embodiment, the target keyword can be a Chinese character or a vocabulary, corresponding to the Chinese character topic or vocabulary topic to be generated. Among them, the target topic types of the Chinese character topic can include character meaning analysis, homophone analysis, homophone analysis and homographic analysis; the target topic types of the vocabulary topic can include synonym analysis, antonym analysis and part of speech analysis. According to the different needs of the target user, the target keyword can be manually input by the target user or randomly extracted from a preset text library.

Specifically, the target user can first select the question generation method by operating the display object corresponding to the question generation method in the display interface, that is, to select manual question generation or batch question generation. The display object can be in the form of a text box for the user to input manually, or it can be in the form of multiple drop-down options for the user to select. The manual question generation method can increase the personalization of question generation, while batch question generation is more conducive to increasing the efficiency of question generation. Therefore, the target user can select the appropriate question generation method according to his or her own needs.

Referring to FIG. 2B , FIG. 2B is a decomposed flow chart of an embodiment of step 201 in the method for generating Chinese morpheme titles according to the present disclosure. As shown in FIG. 2B , step 201 may include the following sub-steps 2011 and 2012:

Sub-step 2011: In response to detecting a manual topic generation request input by a target user, obtaining the text input by the target user as the target keyword, and obtaining the topic type selected by the target user as the target topic type.

In actual application, a text box can be displayed on the display interface so that the user can input text as the target keyword; and multiple drop-down options can be displayed on the display interface so that the user can select the target topic type. When the text input by the user is Chinese characters, the corresponding drop-down options are the target topic types of Chinese character topics, namely, character meaning analysis, homophone analysis, homophonic character analysis, and homographic character analysis, for the user to select. When the text input by the user is vocabulary, the corresponding drop-down options are the target topic types of vocabulary topics, namely, synonym analysis, antonym analysis, and part of speech analysis, for the user to select.

Sub-step 2012: In response to detecting a batch generation question request input by the target user, extract any Chinese character from a preset text library as the target keyword, and determine any question type among word meaning analysis, homophone analysis, homophonic character analysis or homographic character analysis as the target question type, or extract any vocabulary from a preset text library as the target keyword, and determine any question type among synonym analysis, antonym analysis or part of speech analysis as the target question type.

In actual applications, when batch generating questions, the preset text library can be constructed according to Chinese textbooks of different grades, and the target user can set a grade limit for the preset text library, that is, to extract target keywords from the text library corresponding to a fixed grade. As another possible implementation, the preset text library can also be a corpus manually set by the target user, or a corpus generated by AI. Here, the specific form and content of the preset text library are not specifically limited.

Step 202, according to the above target topic type, determine the search database and search field in the preset Chinese character database, the preset vocabulary database and the preset sentence database.

For different target topic types, we will search for data that meets the requirements in the search fields of different search databases, and then generate topics based on this. Therefore, we need to first determine the database to be searched in the preset Chinese character database, preset vocabulary database, and preset sentence database according to the target topic type, i.e., the search database; at the same time, we need to determine the field to be searched in the above search database, i.e., the search field, according to the target topic type.

As a possible implementation, in response to the target topic type being word meaning analysis, the search database is determined to be the preset Chinese character database, the preset vocabulary database and the preset sentence database, and the search field is the word meaning field;

In response to the target topic type being homophone analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is a pronunciation field;

In response to the target topic type being homophone analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is the phonetic field;

In response to the target topic type being homographic character analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is the radical field;

In response to the target topic type being synonym analysis, determining that the search database is the preset vocabulary database and the preset sentence database, and the search field is a synonym field;

In response to the target topic type being antonym analysis, determining that the search database is the preset vocabulary database and the preset sentence database, and the search field is an antonym field;

In response to the target topic type being part of speech analysis, the search database is determined to be the preset vocabulary database and the preset sentence database, and the search field is a part of speech field.

The search databases and search fields corresponding to the above different target topic types can be preset by the user. The above are only some reference examples and are not intended to limit the protection scope of the present disclosure.

The preset Chinese character database, the preset vocabulary database and the preset sentence database may be pre-built databases. The preset Chinese character database stores at least two pieces of Chinese character information, including at least one of the following: Chinese characters, meanings, pronunciations, phonetic radicals and radicals; the preset vocabulary database stores at least two pieces of vocabulary information, including at least one of the following: vocabulary, synonyms, antonyms, parts of speech and Chinese character information in the above vocabulary; the preset sentence database stores at least two pieces of sentence information, including at least one of the following: sentences and vocabulary information in the above sentences.

Referring to FIG. 3 , it can be seen from the above description that the preset Chinese character database, the preset vocabulary database and the preset sentence database all include Chinese characters and meanings in the Chinese character information, that is, the above three databases can be linked together through Chinese characters and corresponding meanings.

Taking the Chinese character "清" as an example, the following describes the forms of the preset Chinese character database, preset vocabulary database, and preset sentence database, including but not limited to the following fields:

① The preset Chinese character database can store data corresponding to the following different fields about the Chinese character "清":

Chinese character: Qing;

Pronunciation: qīng;

Phonetic component: qing;

Radical: 氵;

Grades to be mastered according to primary school Chinese textbooks: Grade 1;

Meaning 1: clean; clear, opposite to "turbid";

Meaning 2: clear; understand;

Meaning 3: check;

Meaning 4: Silence;

Meaning 5: to finish; to finish; to leave nothing behind;

Meaning 6: Not corrupt;

Meaning 7: Dynasty name;

It should be noted that since the database sets 10 fields for Chinese character meanings, all characters need to have 10 fields to express their meanings. When there are less than 10 meanings, the subsequent fields are filled with empty. For example, "清" has only 7 meanings, so the first 7 fields can be written normally, and the last 3 fields are empty.

② The preset vocabulary database may store data corresponding to the following different fields for the word “clear”:

Vocabulary: clarity;

Contains Chinese characters 1: Qing;

Contains Chinese characters 2: 澈;

Chinese character 1 meaning: Qing character meaning 1;

Chinese character 2 meaning: 澈 character meaning 1;

Synonyms: clear, lucid, lucid;

Antonyms: dirty, turbid, muddy;

Part of speech: adjective;

The grade that needs to be mastered according to the primary school Chinese textbook is: Grade 1.

③Preset statement database:

Contains Chinese characters: Qing;

Contains vocabulary: clear;

Contains Chinese character meanings: Qing character meaning 1;

Sentence: The water in the creek is so clear that you can see the fish swimming in it.

As can be seen from the above examples, the preset vocabulary database stores the word "clear" corresponding to the meaning 1 of the Chinese character "清". The preset vocabulary database stores the sentence "The water in the stream is very clear, and you can see the fish swimming in it" which can also correspond to the meaning 1 of the Chinese character "清". In other words, the meaning 1 of the Chinese character "清" is like a clue that connects Chinese characters, vocabulary and sentences. Through the different meanings of Chinese characters, the corresponding Chinese character information, vocabulary information or sentence information can be found in these three databases.

It should be noted that the preset sentence database only has sentences but no words. The sentence database will associate a certain meaning of a word. For example, "The water in the stream is so clear that you can see the fish swimming in it" will be associated with the meaning of "清" in it: "clean; clear", and will not be associated with other meanings. This means that every meaning of every word will be associated with it in at least one sentence.

For another example, there are two sentences, both of which are associated with the meaning of the Chinese character "清" (clean and clear), then there will be two different records of sentence information in the preset sentence database.

In addition, for example, the sentence "The water in the stream is very clear, and you can see the fish swimming in it" can also be associated with the Chinese character "澈". In this case, the preset sentence database will also store another sentence to associate with a specific meaning of the Chinese character "澈".

Step 203, determining the query conditions according to the target title type, the target keyword, the search database and the search field.

For different target topic types, it is necessary to search the search field of the database to obtain different content associated with the target keyword. The obtained content can be pre-set by the target user according to the topic content to be generated, which is not limited here.

As a possible implementation method, the query conditions determined for several common target topic types are exemplified:

In response to the target question type being word meaning analysis, the query condition is determined as obtaining any word meaning of the target keyword in the preset Chinese character database as the test word meaning; obtaining words including the target keyword and whose meaning is the same as the test word meaning in the preset vocabulary database as the matching item data; obtaining words including the target keyword and whose meaning is different from the test word meaning in the preset vocabulary database as the interference item data; obtaining sentences including the target keyword and whose meaning is the test word meaning in the preset sentence database as the question stem data.

For example, if the target keyword of a word meaning analysis question is "qing", then first obtain any meaning of "qing" or a meaning selected by the user as the test meaning, such as meaning 1 "clean; clear"; then obtain words that include the word "qing" and whose meaning is meaning 1 as matching item data, such as "clear and crisp" and "refreshing"; then obtain words that include the word "qing" and whose meaning is not meaning 1 as interference item data, such as "Qing Dynasty", "clear warehouses", and "clean and honest"; finally, obtain sentences that include the word "qing" and whose meaning is meaning 1 as question stem data, such as "the water in the stream is very clear, and you can see the fish swimming in it."

In response to the target question type being homophone analysis, the query conditions are determined as: obtaining any pronunciation of the target keyword in the preset Chinese character database as the examination pronunciation; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword in the preset Chinese character database that are identical to the examination pronunciation as the interference item data; and obtaining a sentence including the target keyword and having the target keyword whose pronunciation is the examination pronunciation as the question stem data in the preset sentence database.

For example, if the target keyword of the homophone analysis question is "当", then first obtain any pronunciation of "当" as the test pronunciation, such as "dāng"; use "当" as the matching item data; then obtain Chinese characters other than "当" with the pronunciation of "dāng" as interference item data, such as "铛", "珰", and "胯"; finally, obtain the sentence that includes "当" and the pronunciation of "当" in the sentence is "dāng" as the question stem data, such as "好雨知季季,当春乃发生".

In response to the target question type being homophone analysis, the query conditions are determined as follows: obtaining the phonetic component of the target keyword in the preset Chinese character database as the examination phonetic component; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword whose phonetic component is the examination phonetic component in the preset Chinese character database as the interference item data; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data.

For example, if the target keyword of the question on distinguishing homophones is "清", then the phonetic component of "清" is first obtained as the examination phonetic component, such as "青"; then "清" is used as the matching item data; then Chinese characters other than "清" whose phonetic component is "青" are obtained as interference item data, such as "请", "情", and "晴"; finally, the sentence including "清" is obtained as the question stem data, such as "The water in the stream is very clear, and you can see the fish swimming in it."

In response to the target question type being analysis of characters with the same radical, the query conditions are determined as: obtaining the radical of the target keyword in the preset Chinese character database as the test radical; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword whose radicals are the test radicals in the preset Chinese character database as the interference item data; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data.

For example, if the target keyword of the question on distinguishing characters with the same radical is "清", then the radical of "清" is first obtained as the test radical, such as "氵"; then "清" is used as the matching item data; then Chinese characters other than "清" with the radical "氵" are obtained as interference item data, such as "洁", "澈", and "昏"; finally, the sentence including "清" is obtained as the question stem data, such as "The water in the stream is very clear, and you can see the fish swimming in it."

In response to the target question type being synonym analysis, the query condition is determined as: obtaining synonyms of the target keyword in the preset vocabulary database as the matching item data; obtaining any vocabulary other than the synonyms of the target keyword in the preset vocabulary database as the interference item data; obtaining a sentence including the target keyword in the preset sentence database as the question stem data;

For example, if the target keyword of a synonym analysis question is "clear", then first obtain the synonyms of "clear" as matching item data, such as "clear", "clear", and "clear"; then obtain any words except the synonyms of "clear" as interference item data, such as "dirty" and "upright"; finally, obtain the sentence including "clear" as the question stem data, such as "the water in the stream is very clear, and you can see the fish swimming in it."

In response to the target question type being antonym analysis, the query condition is determined as: obtaining the antonym of the target keyword in the preset vocabulary database as the matching item data; obtaining any vocabulary other than the antonym of the target keyword in the preset vocabulary database as the interference item data; and obtaining the sentence including the target keyword in the preset sentence database as the question stem data.

For example, if the target keyword of an antonym analysis question is "clear", then first obtain the antonyms of "clear" as matching item data, such as "dirty", "muddy", and "turbid"; then obtain any words other than the antonyms of "clear" as interference item data, such as "clear", "tall", and "upright"; finally, obtain the sentence including "clear" as the question stem data, such as "the water in the stream is very clear, and you can see the fish swimming in it."

In response to the target question type being part-of-speech analysis, the query condition is determined as follows: obtaining the part-of-speech of the target keyword in the preset vocabulary database as the test part-of-speech; obtaining vocabulary other than the target keyword in the preset vocabulary database that has the same part-of-speech as the test part-of-speech as the matching item data; obtaining vocabulary different from the test part-of-speech as the interference item data in the preset vocabulary database; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data.

For example, if the target keyword of a part-of-speech analysis question is "clear", then the part-of-speech "adjective" of "clear" is first obtained as the part-of-speech to be tested; then, words other than "clear" whose part-of-speech is "adjective" are obtained as matching item data, such as "tall" and "upright"; then, words whose part-of-speech is not "adjective" are obtained as interference item data, such as "dad", "creek", and "see"; finally, sentences including "clear" are obtained as question stem data, such as "the water in the creek is very clear, and you can see the fish swimming in it."

Step 204, searching the search database for data whose values of the search fields meet the search conditions as the search results.

Since the specific content of the query condition has been determined in step 203, the search database can be directly searched to obtain data whose values of the search fields meet the query condition as the query result. Specifically, the query result may include matching item data, interference item data and question stem data.

Among them, the matching item data includes all data that can be used as matching items, the interference item data includes all data that can be used as interference items, and the question stem data includes all data that can be used as the question stem. This also leads to the fact that the final generated question may only include part of the matching item data, interference item data or question stem data. For example, the matching item data includes the words "清澈", "、清漓", "明澈", but only one matching item needs to be set in the question, then the final question will only include any one of the words "清澈", "、清漓", "明澈".

As a possible implementation, the method can also obtain a restriction condition, so that when searching the search database for data whose values of the search field meet the search condition, the search results can be filtered by the restriction condition to obtain data that meets both the restriction condition and the search condition. That is, the search database is searched for data whose values of the search field meet the search condition and the restriction condition as the search result.

Among them, the restriction conditions include the question stem grade restriction condition and the interference item grade restriction condition. The question stem grade restriction condition is used to restrict whether the above question stem data comes from the textbooks of the restricted grade. The interference item grade restriction condition is used to restrict whether the above interference item data comes from the textbooks of the restricted grade. For example, the interference item data includes the words "清澈", "清漓", and "明澈". The restriction condition restricts the interference item data to come from the textbooks of grades one to three, and "清澈" comes from the textbooks of grade four. Then the query results only include the words "清漓" and "明澈".

Step 205, generating Chinese morpheme titles based on the above query results.

Since the data in the query results include all data that can generate Chinese morpheme titles, it is necessary to filter and sort the query results to obtain the data that is finally applied to the Chinese morpheme titles. After filtering and sorting the query results, the sorted data can be filled into the corresponding template according to the title template preset by the target user to generate the Chinese morpheme title.

For example, if the sorted question stem data is "The water in the creek is so clear that you can see the fish swimming in it", the question template for word meaning analysis is preset by the target user as: "Question stem data", which option has the same meaning as "target keyword" in this sentence? ; then the generated question stem is: "The water in the creek is so clear that you can see the fish swimming in it", which option has the same meaning as "clear" in this sentence?

As a possible implementation, a question generation template may be preset, and the preset question generation template includes the question stem format, the number of distractors, and the number of matching items. Referring to FIG. 2C , FIG. 2C is a decomposed flow chart of another embodiment of the Chinese morpheme question generation method according to the present disclosure. The above step 205 may include the following sub-steps 2051 to 2054:

Sub-step 2051: Select any sentence from the above-mentioned question stem data, and generate the above-mentioned question stem according to the question stem format corresponding to the above-mentioned target question type.

The specific question format can be set by the user and is not limited here.

Sub-step 2052: Select the above-mentioned number of Chinese characters or words from the above-mentioned interference item data, and generate a corresponding interference item respectively.

Interference items are wrong answers, and the number is generally 3. It can also be set to other numbers according to the needs of the target users, and there is no limit here. For example, if the interference item data is "Qing Dynasty", "Clearance", "Integrity", and the number of interference items is "2", then the interference items "Qing Dynasty" and "Clearance" are generated. For example, if the interference item data is "Qing", "Light", "Tilting", and the number of interference items is "2", then the interference items "Qing" and "Light" are generated.

Sub-step 2053: Select the above-mentioned number of Chinese characters or words from the above-mentioned matching item data, and generate a matching item for each of them.

The matching item is the correct answer, and its number is generally 1. It can also be set to other numbers according to the needs of the target users, and there is no limit here. When the number of matching items is 1, the question is a single-choice question; when the number of matching items is multiple, the question is a multiple-choice question. For example, if the matching item data is "Qing Dynasty", "clear warehouse", "clean and honest", and the number of interference items is "1", then the interference item "Qing Dynasty" is generated. For example, if the matching item data is "qing", "qing", "qing", and the number of matching items is "2", then the matching items "qing" and "qing" are generated.

Sub-step 2054: Arrange the interference items and the matching items in random order, and associate them with the question stem to form a Chinese morpheme question.

Since the questions need to test ability, the matching items and interference items need to be randomly arranged. Changing the position of the correct answer can prevent the examinee from choosing the correct answer based on the pattern of the answer, which increases the difficulty of the question. The question stem, interference items, and matching items are also interrelated, so they need to be related to form a Chinese morpheme question.

As a possible implementation, in response to failure to select the above number of distractor Chinese characters or words from the above distractor data or failure to select the above number of matching Chinese characters or words from the above matching data, failure reminder information is generated to indicate failure of question combination.

When there is less interference item data or matching item data, the preset question setting requirements of the target user may not be met. Therefore, a failure reminder message indicating the failure of question setting can be generated to remind the target user to change the target keyword or perform other operations.

After executing the above steps 201-205, the above method further includes the following steps 206 to 210 to make the method more perfect:

Step 206: Record the interference items and the matching items as the answer to the Chinese morpheme question.

In order to facilitate the target user to evaluate the answer results of the question, the evaluation basis of the answer results can be obtained through the recorded interference items and matching items.

Step 207: presenting the question stem and the question stem refresh operation display object, each distractor and the distractor item refresh operation display object of each distractor item, and each matching item and the corresponding matching item refresh operation display object of each matching item.

In order to meet the personalized needs of target users for generating Chinese morpheme questions, the generated question stem, interference items and matching items can be displayed first, and then a refresh operation display object can be displayed for each question stem, interference item and matching item. When the refresh operation display object is operated, a new question stem, interference item or matching item is generated to replace the original question stem, interference item or matching item until all question stems, interference items and matching items meet the needs of target users. The questions generated in this way can improve the efficiency of question generation and the degree of freedom of question generation.

Step 208: In response to detecting the selection operation of the above-mentioned question stem refresh operation display object, select any sentence other than the presented question stem from the above-mentioned question stem data, generate an updated question stem according to the question stem format corresponding to the above-mentioned target question type; and replace the above-mentioned question stem with the above-mentioned updated question stem.

Step 209: In response to detecting a selection operation of an interference item refresh operation display object of any interference item, select any Chinese character or word other than the presented interference item from the above interference item data to generate an updated interference item; and replace the interference item corresponding to the above selected interference item refresh operation display object with the above updated interference item.

Step 210: In response to detecting a selection operation of a matching item refresh operation display object of any matching item, select any Chinese character or word other than the presented matching item from the matching item data to generate an updated matching item; and replace the matching item corresponding to the selected matching item refresh operation display object with the updated matching item.

As a possible implementation method, a topic storage database can be preset. After executing the above steps each time, the Chinese morpheme topic generated this time can be saved as a field. Then, the Chinese morpheme topic is output regularly, and the output result can include multiple Chinese morpheme topics, thereby forming a complete set of test papers. In addition, the generated Chinese morpheme topic can also be saved to a specified location, which is not limited here. The user can also download part or all of the above topic content.

The Chinese morpheme topic generation method provided by the above-mentioned embodiment of the present disclosure automatically obtains question-setting-related data according to keywords and topic types, and automatically generates Chinese morpheme topics. Without the need for human intervention, comprehensive, accurate, and personalized Chinese morpheme topics can be quickly obtained, and the question-setting efficiency and accuracy are greatly improved.

In the embodiment of the present disclosure, there are multiple possible implementations of the steps in FIG. 2A. The following takes manually inputting Chinese characters to examine the meaning of the characters as an example to introduce one of the implementations. It should be noted that the implementations given in the following introduction are only exemplary and do not represent all implementations of the embodiment of the present disclosure.

Step 401: In response to detecting a manual topic generation request input by a target user, obtaining the text input by the target user as the target keyword, and obtaining the topic type selected by the target user as the target topic type.

See FIG. 5 , which is a schematic diagram of an embodiment of a display interface according to the present disclosure. As shown in FIG. 5 , the target user can select “manually input keywords” or “batch generate keywords” through multiple drop-down options displayed on the display interface.

Step 402: Obtain restriction conditions.

Referring to FIG5 , the target user can determine the restriction conditions by clicking on different restriction operation buttons, including whether the source of the question stem is a primary school textbook and whether the interference items are limited to the grade studied.

Step 403: According to the above target topic type, determine the search database and search field in the preset Chinese character database, the preset vocabulary database and the preset sentence database.

Step 404: In response to the target question type being word meaning analysis, the query condition is determined to be obtaining any word meaning of the target keyword in the preset Chinese character database as the test word meaning; obtaining words including the target keyword and whose meaning is the same as the test word meaning in the preset vocabulary database as the matching item data; obtaining words including the target keyword and whose meaning is different from the test word meaning in the preset vocabulary database as the interference item data; obtaining sentences including the target keyword and whose meaning is the test word meaning in the preset sentence database as the question stem data.

It should be noted that all the meanings of the target keyword may be presented first, and then an operation display object may be presented for each meaning, and when a selection operation of a certain operation display object is detected, the meaning corresponding to the selected operation display object is determined to be the investigation meaning. That is, the investigation meaning may also be any meaning set by the user.

Step 405: Retrieve data in the search database whose values of the search fields meet the search conditions and the restriction conditions as the search results.

Step 406: Generate Chinese morpheme titles based on the above query results.

Step 407: presenting the question stem and the question stem refresh operation display object, each distractor and the distractor item refresh operation display object of each distractor item, and each matching item and the corresponding matching item refresh operation display object of each matching item.

Referring to FIG. 5 , the display object for the question stem refresh operation may be a “refresh” button or other forms on the right side of the “question stem” in FIG. 5 , which is not limited here.

Step 408: In response to detecting the selection operation of the above-mentioned stem refresh operation display object, select any sentence other than the presented stem from the above-mentioned stem data, generate an updated stem according to the stem format corresponding to the above-mentioned target question type; and replace the above-mentioned stem with the above-mentioned updated stem.

Step 409: In response to detecting a selection operation of an interference item refresh operation display object of any interference item, select any Chinese character or word other than the presented interference item from the above interference item data to generate an updated interference item; and replace the interference item corresponding to the selected interference item refresh operation display object with the above updated interference item.

Step 410: In response to detecting a selection operation of a matching item refresh operation display object of any matching item, select any Chinese character or word other than the presented matching item from the matching item data to generate an updated matching item; and replace the matching item corresponding to the selected matching item refresh operation display object with the updated matching item.

After performing the above operations, the method also includes presenting a selected operation display object for each question stem, interference item and matching item; after detecting the selection operations of all the selected operation display objects, presenting the Chinese morpheme title and the save operation display object so that the user can operate the save operation display object and save the Chinese morpheme title generated this time as a field.

The Chinese morpheme topic generation method provided by the above-mentioned embodiment of the present disclosure generates corresponding Chinese morpheme topics by customizing keywords. If you are not satisfied, you can change it by clicking the refresh button. The freedom of question combination is relatively high, and questions that meet user needs can be output. On the one hand, the question combination efficiency is improved, and on the other hand, user needs are met, and comprehensive, accurate, and personalized Chinese morpheme topics can be quickly obtained, and the question combination efficiency and accuracy are greatly improved.

Further referring to FIG. 6 , as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of a Chinese morpheme title generation device, which corresponds to the method embodiment shown in FIG. 2A , and can be specifically applied to various electronic devices.

As shown in FIG6 , the Chinese morpheme title generating device 600 of this embodiment includes:

The acquisition module 601 is used to acquire a target keyword and a target topic type, wherein the target keyword is a Chinese character or a word, and the target topic type is any one of a word meaning analysis, a homophone analysis, a homophone analysis, a homograph analysis, a synonym analysis, an antonym analysis, or a part of speech analysis;

A database field determination module 602 is used to determine a search database and a search field in a preset Chinese character database, a preset vocabulary database and a preset sentence database according to the target topic type;

A query condition determination module 603, for determining a query condition according to the target topic type, the target keyword, the search database and the search field;

A query module 604 is used to retrieve data whose values of the search fields meet the query conditions in the search database as query results;

The topic generating module 605 is used to generate Chinese morpheme topics according to the above query results.

As a possible implementation, the acquisition module 601 includes:

A manual acquisition unit, configured to, in response to detecting a manual topic generation request input by a target user, acquire the text input by the target user as the target keyword, and acquire the topic type selected by the target user as the target topic type;

A batch acquisition unit is used to extract any Chinese character from a preset text library as the target keyword in response to detecting a batch generation request input by the target user, and determine any one of the topic types of word meaning analysis, homophone analysis, homophonic character analysis or homographic character analysis as the target topic type, or extract any vocabulary from the preset text library as the target keyword, and determine any one of the topic types of synonym analysis, antonym analysis or part of speech analysis as the target topic type.

As a possible implementation, the preset Chinese character database stores at least two pieces of Chinese character information, and the Chinese character information includes at least one of the following: Chinese character, character meaning, character pronunciation, phonetic radical and radical;

The preset vocabulary database stores at least two vocabulary information, the vocabulary information including at least one of the following: vocabulary, synonyms, antonyms, parts of speech and Chinese character information of the Chinese characters in the vocabulary;

The preset sentence database stores at least two sentence information, and the sentence information includes at least one of the following items: a sentence and vocabulary information of the vocabulary in the sentence.

As a possible implementation, the database field determination module 602 includes:

A first database determination unit is used for determining, in response to the target topic type being word meaning analysis, that the search database is the preset Chinese character database, the preset vocabulary database and the preset sentence database, and the search field is the word meaning field;

A second database determination unit is used for determining, in response to the target topic type being homophone identification, that the search database is the preset Chinese character database and the preset sentence database, and the search field is a pronunciation field;

A third database determination unit is used for determining, in response to the target topic type being homophone identification, that the search database is the preset Chinese character database and the preset sentence database, and the search field is the homophone field;

A fourth database determination unit is used for determining, in response to the target topic type being homographic character analysis, that the search database is the preset Chinese character database and the preset sentence database, and the search field is the radical field;

a fifth database determination unit, configured to determine, in response to the target topic type being synonym analysis, that the search database is the preset vocabulary database and the preset sentence database, and the search field is a synonym field;

a sixth database determination unit, configured to determine, in response to the target topic type being antonym analysis, that the search database is the preset vocabulary database and the preset sentence database, and the search field is an antonym field;

The seventh database determination unit is used to determine that the retrieval database is the preset vocabulary database and the preset sentence database, and the retrieval field is the part of speech field in response to the target title type being part of speech analysis.

As a possible implementation, the query result includes matching item data, distractor item data and question stem data; and

The query condition determination module 603 includes:

The first condition determination unit is used for determining the query condition as obtaining any meaning of the target keyword in the preset Chinese character database as the test meaning in response to the target question type being word meaning analysis; obtaining a word including the target keyword and having the same meaning as the test meaning in the preset vocabulary database as the matching item data; obtaining a word including the target keyword and having a different meaning from the test meaning in the preset vocabulary database as the interference item data; obtaining a sentence including the target keyword and having the same meaning as the test meaning in the preset sentence database as the question stem data;

The second condition determination unit is used for, in response to the target question type being homophone analysis, determining the query condition as obtaining any pronunciation of the target keyword in the preset Chinese character database as the examination pronunciation; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword in the preset Chinese character database that are the same as the examination pronunciation as the interference item data; obtaining a sentence including the target keyword and having the target keyword with the examination pronunciation as the question stem data in the preset sentence database;

The third condition determination unit is used for, in response to the target question type being homophone analysis, determining the query condition as obtaining the phonetic component of the target keyword from the preset Chinese character database as the examination phonetic component; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword whose phonetic component is the examination phonetic component from the preset Chinese character database as the interference item data; obtaining a sentence including the target keyword from the preset sentence database as the question stem data;

The fourth condition determination unit is used for, in response to the target question type being the character analysis of homonymous radicals, determining the query condition as obtaining the radical of the target keyword from the preset Chinese character database as the test radical; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword from the preset Chinese character database whose radicals are the test radicals as the interference item data; and obtaining a sentence including the target keyword from the preset sentence database as the question stem data;

a fifth condition determination unit, for determining, in response to the target question type being synonym analysis, that the query condition is to obtain synonyms of the target keyword in the preset vocabulary database as the matching item data; to obtain any vocabulary other than the synonyms of the target keyword in the preset vocabulary database as the interference item data; and to obtain a sentence including the target keyword in the preset sentence database as the question stem data;

The sixth condition determination unit is used for, in response to the target question type being antonym analysis, determining the query condition as obtaining antonyms of the target keyword in the preset vocabulary database as the matching item data; obtaining any vocabulary other than the antonyms of the target keyword in the preset vocabulary database as the interference item data; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data;

The seventh condition determination unit is used to determine the above-mentioned query condition in response to the above-mentioned target question type being part of speech analysis, as follows: obtaining the part of speech of the above-mentioned target keyword in the above-mentioned preset vocabulary database as the test part of speech; obtaining the words with the same part of speech as the above-mentioned test part of speech other than the above-mentioned target keyword in the above-mentioned preset vocabulary database as the above-mentioned matching item data; obtaining the words with different part of speech from the above-mentioned test part of speech in the above-mentioned preset vocabulary database as the above-mentioned interference item data; obtaining the sentence including the above-mentioned target keyword in the above-mentioned preset sentence database as the above-mentioned question stem data.

As a possible implementation, the Chinese morpheme question includes a stem, interference items, and matching items, and the preset question generation template includes a stem format, the number of interference items, and the number of matching items; and

The above-mentioned topic generation module 605 includes:

A question stem generating unit, configured to select any sentence from the question stem data and generate the question stem according to the question stem format corresponding to the target question type;

An interference item generating unit, used for selecting the above-mentioned interference item number Chinese characters or words from the above-mentioned interference item data, and generating a corresponding interference item respectively;

A matching item generating unit, used for selecting the matching item number Chinese characters or words from the matching item data, and generating a matching item for each of them;

The question generating unit is used to arrange the interference items and the matching items in a random order and associate them with the question stem to form a Chinese morpheme question.

As a possible implementation manner, the above-mentioned device 600 further includes:

The recording module 606 is used to record the interference items and the matching items as the answers to the Chinese morpheme questions.

As a possible implementation manner, the above-mentioned device 600 further includes:

The reminder module 607 is used to generate a failure reminder message indicating a failure in question formation in response to failure to select the above number of Chinese characters or words from the above interference item data or failure to select the above number of Chinese characters or words from the above matching item data.

As a possible implementation manner, the above-mentioned device 600 further includes:

A presentation module 608 is used to present the question stem and the question stem refresh operation display object, each distractor and the distractor refresh operation display object of each distractor, and each matching item and the matching item refresh operation display object corresponding to each matching item;

The question stem refreshing module 609 is used to select any sentence other than the presented question stem from the question stem data in response to detecting the selection operation of the question stem refreshing operation display object, generate an updated question stem according to the question stem format corresponding to the target question type, and replace the question stem with the updated question stem;

The distractor item refreshing module 610 is used to select any Chinese character or word other than the presented distractor item from the distractor item data in response to the selection operation of the distractor item refreshing operation display object detected for any distractor item, generate an updated distractor item; and replace the distractor item corresponding to the selected distractor item refreshing operation display object with the updated distractor item;

The matching item refresh module 611 is used to respond to the selection operation of the matching item refresh operation display object detected for any matching item, select any Chinese character or word other than the presented matching item from the above matching item data, generate an updated matching item; and replace the matching item corresponding to the selected matching item refresh operation display object with the above updated matching item.

As a possible implementation manner, the above-mentioned device 600 further includes:

A restriction condition acquisition module 612 is used to acquire restriction conditions, wherein the restriction conditions include a stem grade restriction condition and a distractor grade restriction condition, wherein the stem grade restriction condition is used to restrict whether the stem data is derived from a textbook of a restricted grade, and the distractor grade restriction condition is used to restrict whether the distractor data is derived from a textbook of a restricted grade; and

The query module 604 includes:

The restricted query unit is used to retrieve data whose values of the search field meet the search conditions and the restricted conditions in the search database as the query result.

Referring to Fig. 7, a schematic diagram of a computer system 700 suitable for implementing the electronic device of the present disclosure is shown. The computer system 700 shown in Fig. 7 is only an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

As shown in FIG7 , the computer system 700 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 701, which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage device 708 into a random access memory (RAM) 703. Various programs and data required for the operation of the computer system 700 are also stored in the RAM 703. The processing device 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to the bus 704.

Typically, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, etc.; output devices 707 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 708 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 709. The communication devices 709 may allow the computer system 700 to communicate with other devices wirelessly or by wire to exchange data. Although FIG. 7 shows a computer system 700 of an electronic device having various devices, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device 709, or installed from a storage device 708, or installed from a ROM 702. When the computer program is executed by the processing device 701, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device implements the Chinese morpheme topic generation method shown in the embodiment shown in FIG. 2A and its optional implementation manner.

Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and/or flow chart, and the combination of the square boxes in the block diagram and/or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of the unit does not limit the unit itself in some cases. For example, the acquisition module may also be described as "a module for determining a search database and a search field in a preset Chinese character database, a preset vocabulary database, and a preset sentence database according to the above target topic type."

The above description is only a preferred embodiment of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present disclosure (but not limited to) by each other to form a technical solution.

Claims (13)

1. A method for generating Chinese morpheme titles, characterized by comprising: Obtaining a target keyword and a target topic type, wherein the target keyword is a Chinese character or a word, and the target topic type is any one of word meaning analysis, homophone analysis, homophonic character analysis, homographic character analysis, synonym analysis, antonym analysis, or part of speech analysis; According to the target topic type, determining a search database and a search field in a preset Chinese character database, a preset vocabulary database, and a preset sentence database; Determining a query condition according to the target topic type, the target keyword, the search database and the search field; In the search database, searching for data whose values of the search fields meet the search conditions as the search results; A Chinese morpheme title is generated according to the query result. 2. The method according to claim 1, characterized in that the obtaining of target keywords and target topic types comprises: In response to detecting a manual topic generation request input by a target user, obtaining the text input by the target user as the target keyword, and obtaining the topic type selected by the target user as the target topic type; In response to detecting a batch generation question request input by the target user, any Chinese character is extracted from a preset text library as the target keyword, and any one of the question types of word meaning analysis, homophone analysis, homophonic character analysis or homographic character analysis is determined as the target question type, or any vocabulary is extracted from the preset text library as the target keyword, and any one of the question types of synonym analysis, antonym analysis or part of speech analysis is determined as the target question type. 3. The method according to claim 1, characterized in that the preset Chinese character database stores at least two Chinese character information, and the Chinese character information includes at least one of the following: Chinese character, meaning, pronunciation, phonetic radical and radical; The preset vocabulary database stores at least two vocabulary information, the vocabulary information including at least one of the following: vocabulary, synonyms, antonyms, parts of speech and Chinese character information of the Chinese characters in the vocabulary; The preset sentence database stores at least two sentence information, and the sentence information includes at least one of the following items: a sentence and vocabulary information of words in the sentence. 4. The method according to claim 3, characterized in that the step of determining the search database and search field according to the target topic type comprises: In response to the target topic type being word meaning analysis, determining that the search database is the preset Chinese character database, the preset vocabulary database, and the preset sentence database, and the search field is the word meaning field; In response to the target topic type being homophone analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is a pronunciation field; In response to the target topic type being homophone analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is the phonetic field; In response to the target topic type being homographic character analysis, determining that the search database is the preset Chinese character database and the preset sentence database, and the search field is the radical field; In response to the target topic type being synonym analysis, determining that the search database is the preset vocabulary database and the preset sentence database, and the search field is a synonym field; In response to the target topic type being antonym analysis, determining that the search database is the preset vocabulary database and the preset sentence database, and the search field is an antonym field; In response to the target topic type being part of speech analysis, the search database is determined to be the preset vocabulary database and the preset sentence database, and the search field is a part of speech field. 5. The method according to claim 4, characterized in that the query result includes matching item data, distractor item data and question stem data; and The step of determining the query condition according to the target topic type, the target keyword, the search database and the search field includes: In response to the target question type being word meaning analysis, the query condition is determined to be obtaining any word meaning of the target keyword in the preset Chinese character database as the test word meaning; obtaining a word including the target keyword and having the same meaning as the test word meaning in the preset vocabulary database as the matching item data; obtaining a word including the target keyword and having a different meaning from the test word meaning in the preset vocabulary database as the interference item data; obtaining a sentence including the target keyword and having the same meaning as the test word meaning in the preset sentence database as the question stem data; In response to the target question type being homophone analysis, the query condition is determined as: obtaining any pronunciation of the target keyword in the preset Chinese character database as the examination pronunciation; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword in the preset Chinese character database that are the same as the examination pronunciation as the interference item data; obtaining a sentence including the target keyword and having the pronunciation of the target keyword as the examination pronunciation in the preset sentence database as the question stem data; In response to the target topic type being homophone analysis, the query condition is determined as: obtaining the homophone of the target keyword from the preset Chinese character database as the examination homophone; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword from the preset Chinese character database whose homophone is the examination homophone as the interference item data; obtaining a sentence including the target keyword from the preset sentence database as the question stem data; In response to the target question type being homonymous radical analysis, the query condition is determined as: obtaining the radical of the target keyword from the preset Chinese character database as the test radical; using the target keyword as the matching item data; obtaining Chinese characters other than the target keyword from the preset Chinese character database whose radicals are the test radicals as the interference item data; obtaining a sentence including the target keyword from the preset sentence database as the question stem data; In response to the target question type being synonym analysis, determining the query condition as obtaining synonyms of the target keyword in the preset vocabulary database as the matching item data; obtaining any vocabulary other than the synonyms of the target keyword in the preset vocabulary database as the interference item data; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data; In response to the target question type being antonym analysis, determining the query condition as obtaining antonyms of the target keyword in the preset vocabulary database as the matching item data; obtaining any vocabulary other than the antonyms of the target keyword in the preset vocabulary database as the interference item data; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data; In response to the target question type being part-of-speech analysis, the query condition is determined as: obtaining the part-of-speech of the target keyword in the preset vocabulary database as the test part-of-speech; obtaining words in the preset vocabulary database that have the same part-of-speech as the test part-of-speech except the target keyword as the matching item data; obtaining words in the preset vocabulary database that have different part-of-speech from the test part-of-speech as the interference item data; and obtaining a sentence including the target keyword in the preset sentence database as the question stem data. 6. The method according to claim 5, characterized in that the Chinese morpheme question includes a question stem, interference items and matching items, and the preset question generation template includes a question stem format, the number of interference items and the number of matching items; and Generating Chinese morpheme titles according to the query results includes: Select any sentence from the question stem data, and generate the question stem according to the question stem format corresponding to the target question type; Selecting the number of Chinese characters or words of the interference item from the interference item data, and generating a corresponding interference item respectively; Selecting the matching item number of Chinese characters or words from the matching item data, and generating a matching item for each of them; The interference items and the matching items are arranged in a random order and associated with the question stem to form a Chinese morpheme question. 7. The method according to claim 6, characterized in that the method further comprises: The interference items and the matching items are recorded as answers to the Chinese morpheme questions. 8. The method according to claim 6, characterized in that the method further comprises: In response to failure to select the distractor number of Chinese characters or words from the distractor data or failure to select the matching number of Chinese characters or words from the matching data, failure reminder information indicating failure of question combination is generated. 9. The method according to claim 6, characterized in that the method further comprises: Presenting a question stem and a question stem refresh operation display object, each distractor and a distractor refresh operation display object for each distractor, and each matching item and a matching item refresh operation display object corresponding to each matching item; In response to detecting a selection operation of the question stem refresh operation display object, selecting any sentence other than the presented question stem from the question stem data, generating an updated question stem according to the question stem format corresponding to the target question type; and replacing the question stem with the updated question stem; In response to detecting a selection operation of a distractor refresh operation display object of any distractor, selecting any Chinese character or word other than the presented distractor from the distractor data to generate an updated distractor; replacing the distractor corresponding to the selected distractor refresh operation display object with the updated distractor; In response to detecting a selection operation of a matching item refresh operation display object of any matching item, any Chinese character or word other than the presented matching item is selected from the matching item data to generate an updated matching item; and the matching item corresponding to the selected matching item refresh operation display object is replaced with the updated matching item. 10. The method according to claim 6, characterized in that the method further comprises: Obtaining restriction conditions, wherein the restriction conditions include a stem grade restriction condition and a distractor grade restriction condition, wherein the stem grade restriction condition is used to restrict whether the stem data is derived from a textbook of a restricted grade, and the distractor grade restriction condition is used to restrict whether the distractor data is derived from a textbook of a restricted grade; and The step of searching the search database for data whose value of the search field meets the search condition as the search result includes: The search database is searched for data whose value of the search field meets the search condition and the restriction condition as the search result. 11. A Chinese morpheme title generation device, characterized by comprising: An acquisition module, used for acquiring a target keyword and a target topic type, wherein the target keyword is a Chinese character or a word, and the target topic type is any one of a word meaning analysis, a homophone analysis, a homophone analysis, a homograph analysis, a synonym analysis, an antonym analysis or a part of speech analysis; A database field determination module, used to determine a search database and a search field in a preset Chinese character database, a preset vocabulary database and a preset sentence database according to the target topic type; A query condition determination module, used to determine the query condition according to the target topic type, the target keyword, the search database and the search field; A query module, used to retrieve data whose values of the search fields meet the query conditions in the search database as query results; The topic generating module is used to generate Chinese morpheme topics according to the query results. 12. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the method according to any one of claims 1 to 10. 13. A computer-readable storage medium, characterized in that a computer program is stored thereon, wherein when the computer program is executed by one or more processors, the method according to any one of claims 1 to 10 is implemented.