CN101702279A - Language teaching system and method by using meaning unit and related question - Google Patents
Language teaching system and method by using meaning unit and related question Download PDFInfo
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- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
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- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
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Abstract
Disclosed herein is a system and method for language education using a meaning unit and a relational question. The system for language education includes an information provider apparatus and a subscriber apparatus. The information provider apparatus stores sentences in a form of text data with each sentence divided into meaning units, stores relational questions in a form of text data to connect the meaning units to each other, and transmits the stored meaning unit text data and the stored relational question text data in learning order via a network. The subscriber apparatus receives and outputs the meaning unit text data and the relational question text data transmitted from the information provider apparatus, and transmits text data input by a subscriber to the information provider apparatus.
Description
The application be that Dec 12, application number in 2002 are 02155993.7 the applying date, denomination of invention divides an application for the patented claim of " using the language teaching system and the methods of meaning unit and relevant issues ".
Technical field
The present invention relates generally to a kind of system that is used for language teaching, more precisely, relate to a kind of method and system that is used for language teaching, can use the Internet or multimedia that learning materials are provided in case allow the learner according to learner's level learn effectively to listen, say, read and write.
Background technology
Recently, owing to provide the hypervelocity Internet service to domestic consumer, the user visits various contents moving image strictly according to the facts the time easily.
The service that provides through the Internet comprises various services, and these services comprise ecommerce, the Internet teaching or the like.In these services, the Internet teaching provides the various contents of courses according to course.
Yet the problem of this Internet teaching is to provide study effectively, because conventional learning method is adopted in the Internet teaching.That is, the advantage of conventional the Internet teaching plan is to provide learning materials in a kind of multimedia mode to the learner, but its shortcoming is to provide the service based on a kind of effective learning method.Simultaneously, used another kind of teaching plan, wherein with the multimedia learning data storage at a CD (CD) or Digital video disc (DVD) and offer the learner, this learner uses the multimedia learning data that is stored among CD or the DVD to come active learning.Yet though this learning method can provide a lot of multimedia learning data, it can not provide and allow the effectively a kind of effective learning method of study of learner.
English language study can be divided into listen, say, the study of read and write.Therefore, for studying English effectively, effectively the listening of learning English language, say, read and write.
In a kind of English language learning method of routine, the learner must repeatedly watch the moving image based on the session sight of various situations, and this can not produce the results of learning that need.In addition, conventional English language learning method provides various sentences to the learner, so this learner can not discern the one-tenth subdivision of sentence.Therefore, the learner must remember whole sentence, so he can not form a sentence that is suitable for particular case.
Summary of the invention
Therefore, the present invention who is done keeps it in mind and occurs in the problems referred to above of the prior art, and an object of the present invention is to provide a kind of system that is used to use the language teaching of a meaning unit and relevant issues, wherein provide each sentence and the problem by the response learner to improve learning process successively by meaning unit.
Another object of the present invention provides a kind of method that is used to use the language teaching of a meaning unit and relevant issues, wherein the learner listens, says, read and write is learnt so that allow by providing each sentence successively by meaning unit, and the process that improves this study by the problem that responds a learner.
For achieving the above object, the invention provides a kind of system that is used for language teaching, comprise informant's device, be used for the form storage sentence with text data, wherein each sentence is divided into meaning unit; With the form storage relevant issues of text data, wherein each relevant issues correlates meaning unit each other; According to the order of speech, order is also repeatedly extracted each meaning unit text data of being stored and the relevant issues text data that correlates with the meaning unit text data that is extracted; And transmit meaning unit text data and the relevant issues text data extracted through the Internet; And user's set, be used to receive and export described meaning unit text data and the described relevant issues text data that transmits from described informant's device, and will be sent to described informant's device by the text data of user's input; Wherein said meaning unit is the set that forms the speech of a meaning composition, and relevant issues derive corresponding meaning unit.
In addition, the invention provides a kind of method that is used for language teaching, wherein provide the language teaching program through network to user terminal from study supplier server, described method comprises step: each sentence of storage in described study supplier server, press the level of sentence order simultaneously, each sentence is divided into a plurality of meanings unit and relevant issues according to the user; By from via the information that user terminal received of the described study of described access to netwoks supplier server about user learning stage and mode of learning, extract learning materials from described study supplier server corresponding to this user's learning phase; And control output is so that output to described user terminal from described study supplier server with the learning materials of being extracted according to the mode of learning that is received.
In addition, the invention provides a kind of method that is used to use the language teaching of meaning unit and relevant issues, wherein extract data and according to the process of language learning program from the storage medium of storage multimedia moving image learning materials, data are outputed to user terminal, described method comprises step: be stored on the described storage medium according to word order each lines with described multimedia moving image learning materials, and relevant issues are stored on the described storage medium, wherein each lines is divided into a plurality of meanings unit, described meaning unit is the set that forms the speech that the meaning of described lines forms, and described relevant issues make the user use corresponding meaning unit to respond; Extract moving image learning materials and meaning cell data from described storage medium, and it is outputed to described user terminal; Reception is by user-selected study menu item; And, play the multimedia moving image learning materials of being extracted, and learn according to described meaning unit and described relevant issues according to selected menu item.
Description of drawings
Be more readily understood above-mentioned and other purposes, characteristics and advantage of the present invention from the detailed description of doing below in conjunction with accompanying drawing, wherein:
Fig. 1 is according to one embodiment of the invention, and expression is used for the block diagram of structure of informant's device of a system of language teaching;
Fig. 2 is according to embodiments of the invention, and expression is used for the block diagram of structure of a user's set of the system of language teaching;
Fig. 3 is according to another embodiment of the present invention, represents the block diagram of the structure of informant's device;
Fig. 4 is according to another embodiment of the present invention, and expression is used for the block diagram of structure of user's set of the system of language teaching;
Fig. 5 A to 5D is the figure that describes the data structure of the learning materials of Fig. 1 and Fig. 3 and member DB;
Fig. 6 is according to embodiments of the invention, is used to use the process flow diagram of operation of system of the language teaching of meaning unit and relevant issues;
Fig. 7 is the process flow diagram of an example of expression, and wherein the step of the sentence in the output meaning unit is as shown in Figure 6 carried out with a kind of basic studies method;
Fig. 8 is the process flow diagram of an example of expression, and wherein the step of the sentence in the output meaning unit is as shown in Figure 6 carried out with a kind of accumulation and repetition learning mode;
Fig. 9 A to 9G is the process flow diagram that describes role playing Learning Control step in detail;
Figure 10 is the process flow diagram of an example of expression, wherein carries out the reading learning controlled step of Fig. 6 in more detail in a kind of basic studies mode;
Figure 11 is the process flow diagram of an example of expression, wherein carries out the reading learning controlled step of Fig. 6 in more detail with a kind of accumulation and repetition learning mode;
Figure 12 is the process flow diagram of an example of expression, wherein at length carries out the dictation Learning Control step of Fig. 6 with a kind of basic studies method;
Figure 13 is the process flow diagram of an example of expression, wherein at length carries out the dictation Learning Control step of Fig. 6 with a kind of accumulation and repetition learning mode.
Embodiment
Should be with reference to the accompanying drawings, wherein employed identical Reference numeral is represented same or analogous composition in different figure.
Fig. 1 and 2 represents one embodiment of the present of invention, wherein controls a teaching process by informant's device.
Fig. 1 is according to embodiments of the invention, represents a kind of block diagram of structure of the informant's device that is used to use the Internet or multimedia language teaching system.In the figure, Reference numeral 110,120,130,140,150 and 160 is represented learning materials storer, recognition unit, transmit control unit, member management unit, reception data memory and network interface respectively.Reference numeral 111,113,115,116 and 117 represents that respectively learning materials database (DB), learning materials are chosen control module, unit text buffer, motion image data impact damper and relevant issues impact damper look like.Reference numeral 121,122,123,141,142,151,152 and 153 is represented first comparing unit, voice recognition unit, second comparing unit, member DB, member's recognition unit respectively, is received text buffer, receives audio buffer and receive control module.
At first, with reference to this figure, describe this learning materials storer 110 in detail.All learning materials all are stored among the learning materials DB 111.Learning materials DB 111 can be made up of a sql server.
Choose in learning materials under the control of control module 113, choose the learning materials that are stored among the learning materials DB111, and learning materials are stored in the impact damper according to the type of content.That is, be stored in the meaning unit text buffer 115 from the meaning unit text of these learning materials DB 11, and the relevant issues text is stored in the relevant issues text buffer 117.
In the present invention, meaning unit (meaning unit) finger-type becomes the set of speech of the meaning ingredient of a sentence.For example, a statement " I want to Kimpo airport to see myAmerican friend " may be divided into four meaning unit " I want ", " to Kimpoairport ", " to see " and " my Amercian friend ".Check the meaning unit of this sentence, " to Kimpo airport is close to meaning unit " Iwant " can to draw meaning unit.Simultaneously, meaning unit " I want " is the meaning unit of expression one position.Therefore, for making learner's derived solution " to Kimpo airport ", occurring to inquire a problem " where to " behind the meaning unit " I want ".This problem " where to " is called as the relevant issues of the meaning unit of plan induced representation position.As a result, as mentioned above, can construct three relevant issues.
Although in the above-described embodiments, a single meaning unit is configured and is connected to single relevant issues, and a plurality of meanings unit also can be connected on the single relevant issues.
In this case, meaning element buffer storage " n " individual meaning unit.Response is from a control signal of transmit control unit 130 outputs, and learning materials are chosen control module 113 and selected the learning materials that are selected.
The data that are stored in meaning unit text buffer 115 and the relevant issues text buffer 117 are imported into transmit control unit 130.The data that are input in the transmit control unit 130 are sent to the Internet 170 through network interface 160.
Simultaneously, the data from the Internet 170 are imported into reception control module 153 through network interface 160.Then, if the data that received are membership informations, receive control module 153 data that received are outputed to member's control module 142, if the data that receive are voice datas, then output to the reception audio buffer, if the data that receive are text datas, then output to and receive text buffer 151.
Member's recognition unit 142 is relatively discerned a member by the membership information that will be stored among the member DB 141 with the membership information of exporting from reception control module 153.
First comparing unit 121 of recognition unit 120 compares to determine with the text that receives text buffer 151 whether a user dictation is correct by the text of the unit text buffer 115 that will look like, and will determine that the result outputs in the transmit control unit 130.Use similar mode, second comparing unit 123 of recognition unit 120 compares to determine with the text of being discerned by voice recognition unit 122 whether a user pronunciation is correct by the meaning unit text of the unit text buffer 115 that will look like, and will determine that the result outputs to transmit control unit 130.
Fig. 2 be expression according to embodiments of the invention, use the block diagram of structure of a user's set of the Internet and the multimedia system that is used for language teaching.Reference numeral 210,220,230,240,250,260,270 and 280 is represented network interface respectively, is received control module, transmit control unit, learning stuff memory buffer unit, output control unit, video card, sound card and microphone.In addition, Reference numeral 241,242,243 and 244 difference express meaning unit text buffers, speech conversion unit, relevant issues text buffer and motion image data impact damper.
Receive the data that control module 220 receives from informant's device through network interface 210.Under the sort of situation situation, receive control module 220 and will receive data qualification and become meaning unit text data and relevant issues text data, and will look like the unit text data store look like unit text buffer 241 and with the relevant issues text data store in relevant issues text buffer 243.
The text data that is stored in meaning unit text buffer 241 and the relevant issues text buffer 243 outputs to a monitor through video card 260 under the control of output control unit 250.Simultaneously, meaning unit or the relevant issues voice data that is formed by speech conversion unit 243 outputs in the loudspeaker under the control of output control unit 250 through sound card 270.
Simultaneously, be imported in the sound card 270 through microphone 280 from a user's voice signal.The voice signal that is input to sound card 270 is converted into voice data, and transmits under the control of transmit control unit 230.Therefore through the Internet, informant's device receives the voice data that is transmitted.
Although in the embodiment shown in Fig. 1 and 2, as an example, learning materials are described as be between informant's device and user's set and transmit in real time through the Internet, the learning materials that provided by informant's device are stored on the portable memory apparatus (as CD, DVD or the like), once all offer user's set and are utilized.In this case, this user's set can be made up of any device, for example, can drive the personal computer of this portable memory apparatus.Use similar mode, the learner can be by downloading learning materials and utilize these learning materials to learn through a user's set from informant's device in a lump.Therefore, language teaching system allows online and off line language teaching according to an embodiment of the invention.
Fig. 3 and 4 expression another embodiment of the present invention are wherein controlled a teaching process by a user's set.
Fig. 3 is according to a second embodiment of the present invention, and expression is used to use the block diagram of structure of informant's device of the Internet and multimedia language teaching system.In the figure, Reference numeral 310,320,330,340,360 and 370 is represented learning materials storer, transmit control unit, member management unit, reception control module, network interface and the Internet respectively.Reference numeral 311,312,313,314 and 315 represents that respectively learning stuff is chosen control module, learning materials DB, unit text buffer, relevant issues impact damper and motion image data impact damper look like. Reference numeral 331 and 332 is represented member DB and member's recognition unit respectively.
At first, with reference to this figure, describe learning materials storer 310 in detail.All learning materials all are stored among the learning materials DB 312.Learning materials DB 312 can be made up of a sql server.
Be stored in learning materials among the learning materials DB 312 and choose in learning materials under the control of control module 311 and be selected, and according to the type stores of content in impact damper.That is, be stored in the meaning unit text buffer 313 from the meaning unit text of learning materials DB 312, and the relevant issues text is stored in the relevant issues text buffer 314.
In this case, meaning element buffer storage " n " individual meaning unit.Learning materials are chosen control module 311 response and are selected the learning materials that will be selected from the control signal of transmit control unit 320 outputs.
The data that are stored in meaning unit text buffer 313 and the relevant issues text buffer 314 are imported into transmit control unit 320.The data that are input to transmit control unit 320 are sent in the Internet 370 through network interface 360.
Simultaneously, will be input to reception control module 340 from the data of the Internet 170 through network interface 360.Then, are membership informations if receive data, reception control module 340 will receive data and output to member's recognition unit 332.By membership information that will be stored in member DB 331 and the membership information of exporting from reception control module 340 relatively, member's recognition unit 332 identification one members.
Fig. 4 is according to a second embodiment of the present invention, and the Internet or multimedia are used in expression, is used for the block diagram of structure of a user's set of the system of language teaching.Reference numeral 410,420,430,440,450,460 and 470 is represented network interface, transmission/reception control module, learning materials memory buffer unit, recognition unit, output control unit, video card and input block respectively.In addition, Reference numeral 471,472,473,474 and 475 is represented text buffer, keyboard, audio buffer, sound card and microphone respectively.
Through network interface 410, receive the data that control module 420 receives from informant's device.In this case, transmission/reception control module 420 will receive data and be divided into the meaning unit text data and relevant issues text data, and will look like the unit text data store look like unit text buffer 431 and with the relevant issues text data store in relevant issues text buffer 433.
Through video card 460, under the control of output control unit 450, the text data that is stored in meaning unit text buffer 431 and relevant issues text buffer 433 is outputed to a monitor.Simultaneously, meaning unit that is formed by speech conversion unit 432 or relevant issues voice data under the control of output control unit 450, are output to a loudspeaker through sound card 474.
Text data through keyboard 472 inputs is imported into text buffer 471, and is stored in the audio buffer 473 through the voice data of sound card 474 inputs.
Simultaneously, the 3rd comparing unit 441 of recognition unit 440 compares to determine with the text that receives text buffer 471 whether a user dictation is correct by the text of the unit text buffer 431 that will look like, and will determine that the result outputs in the output control unit 450.Use similar method, meaning unit text by the unit text buffer 431 that will look like compares with the text of being discerned by voice recognition unit 442, second comparing unit 123 of recognition unit 440 determines whether a user pronunciation is correct, and should determine that the result outputed in the output control unit 450.
Although in the embodiment shown in Fig. 3 and 4, as an example, learning materials are described as be between informant's device and user's set and transmit in real time through the Internet, the learning materials that provided by informant's device are stored in (as CD, DVD or the like) on the portable memory apparatus, and once all offer user's set utilization.In this case, user's set can be made up of any device, if can drive the personal computer of this portable memory apparatus.Use similar mode, through a user's set, the learner can once all download learning materials and utilize this learning materials from informant's device.Therefore, language teaching system allows online or off line language teaching according to an embodiment of the invention.
Fig. 5 A to 5D be describe in detail as shown in figs. 1 and 3 learning materials DB and the figure of the data structure of member DB.
In these figure, Fig. 5 A represents the data structure of a multimedia DB, and Fig. 5 B represents the data structure of learning materials DB, and Fig. 5 C represents the master file of member DB and the log file that Fig. 5 D represents member DB.
At first, multimedia DB (with reference to figure 5A) is made up of learning materials code, motion image data and study course program field.Learning materials DB (with reference to figure 5B) is made up of learning materials code, role's code, title code, meaning unit text, translation meaning unit text and relevant issues the text field.One meaning unit the text field and a relevant issues field form a single set.Learning materials DB comprises the set of the quantity consistent with the quantity of meaning unit, for example, and n set.In this instructions, each set is defined as a relevant issues collection.Translation meaning unit the text field is a field of the translation data of storage one meaning unit text.N relevant issues set is configured to not comprise relevant issues the text field, because it does not have another relevant issues.
In addition, the master file of member DB (with reference to figure 5C) is made up of member's code, name, address, password, current learning materials code, current title code, learning level and learning outcome field.In current learning materials code field, the learning materials code of member's study is stored.In current title code, store a title code of the lines that a member learnt recently.
At last, the log file of member DB (with reference to figure 5D) is made of member's code, learning materials code, basic credit, spoken mark and dictation fraction fields.Therefore, in member DB, record is used for the basic credit of each learning materials of each member, spoken mark and dictation mark.The master file of the log file of member DB and member DB is respectively with one or many-to-one ratio and member's associated codes.
Fig. 6 is the process flow diagram of operation of system that is used to use the language teaching of a meaning unit and relevant issues.
The operation of this system is subjected to transmit control unit 130 and 250 controls of output control unit as shown in Figure 2 as shown in Figure 1.Transmit control unit 130 or output control unit 250 are controlled learning process so that consistent with learning materials according to the study course program that is stored among the learning materials DB 111.For ease of describing, describe below the study course program is loaded into an example of also carrying out in the Input Control Element 250.
At first, output control unit 250 determines at step S110 whether a learner has selected one to watch pattern.If this learner has selected the pattern of watching, at step S120, output control unit 250 is chosen motion image data and is play this motion image data from motion image data impact damper 244.Therefore, this learner can watch and learn relevant moving image.
After this, at step S130, output control unit 250 determines whether this learner selects an audiology to practise pattern.In this listening study pattern, this learner can listen to a sentence of a certain lines or repeats to listen to whole sentence and watch moving image simultaneously by meaning unit.If this learner has selected the listening study pattern, output control unit 250 is successively by meaning unit output one corresponding sentence.
Simultaneously, if this learner has selected a spoken mode of learning at step S150, output control unit 250 allows this learner to carry out role playing study.That is, the verbal learning pattern allows this learner to select a role of moving image and says this role's lines.Therefore, if this learner selects the verbal learning pattern, at step S160, output control unit 250 begins to control role playing study.
After this, if this learner selects a reading learning pattern at step S170, output control unit 250 allows this learner to carry out reading learning.That is, this reading learning pattern allows this learner to export the sentence consistent with a moving image and allow this learner to read this sentence by this meaning unit.In the reading learning pattern, this learner can use meaning unit and relevant issues to improve the ability of its applicational language.
At last, if this learner has selected a writing mode of learning at step S190, control module 250 allows this learner to write study.That is, this writing mode of learning allows this learner to import the sentence consistent with a moving image or import speech selectively through a keyboard.In this writing mode of learning, the learner can write study according to a meaning unit of a part that constitutes a sentence or whole sentence.
Fig. 7 is the process flow diagram of expression one example, wherein imports the step of the sentence in as shown in Figure 6 the meaning unit with a basic studies mode.
As shown in the drawing, in the basic studies mode, transmit control unit 130 or 320 transmits a current meaning unit at step S310, transmits a current meaning unit text and a voice output order at step S320.
That is, when the pointer of a current meaning cell value is i, this transmit control unit 130 or i the meaning of 320 outputs unit text.
Fig. 8 is the process flow diagram of expression one example, wherein carries out the step of the sentence in the output meaning unit as shown in Figure 6 with accumulation and repetition learning mode.
As shown in the drawing, with this accumulation and repetition learning mode, at step S330, transmit control unit 130 or 320 combinations and the consistent text data in meaning unit that extends to a current meaning unit from an initial meaning unit.After this, transmit control unit 130 or 320 transmits the combine text data at step S340, and transmits a combination meaning unit text and a voice output order at step S350.Therefore, just receive a meaning unit text data as long as the pointer of a current meaning unit adds 1, one user, in this meaning unit text data, store a unlikely meaning unit and with in preceding meaning unit combination.
Fig. 9 A is the process flow diagram of the role playing Learning Control step of presentation graphs 6 in more detail.When spoken mode of learning began, output control unit 450 impelled the learner to select the role of the moving image that will play the part of at step S412.In this case, the information about selected that role of this learner is consistent with the role's code shown in Fig. 5 B.This learner's role can change in learning process.
If this learner has selected this role, output control unit 450 is chosen motion image data and is play the motion image data of choosing at step S414 through video card 460 and sound card 474 from motion image data impact damper 434.In this case, the moving image role's of selection lines are consistent with the title code shown in Fig. 5 B, and are output through the form of video card 460 with text.This output text is outputted as the single sentence with first to n meaning unit text combining.
In learning process, whether output control unit 250 is lines of the role of this learner's selection at the definite role's that will be output of step S416 lines.If this role's that will be output lines are lines of the selected role of this learner,, stop the speech data of output one motion image data and temporary transient the prevention to play this moving image through sound card at step S418 to S420.
Subsequently, at step S422, use selected role's lines, output control unit begins verbal learning control to allow this learner to learn verbal learning.In an embodiment of the present invention, with six examples verbal learning control (with reference to figure 9B to 9G) is described.When spoken Learning Control finished, at step S424, output control unit 250 continued role playing study (verbal learning) or finishes role playing study.
Fig. 9 B is the process flow diagram of the example (verbal learning control 1) of the verbal learning controlled step S422 of Fig. 9 A.In this example, this learner can carry out the consistent repetition learning of beginning part with this verbal learning.
At first, at step S432, output control unit with a current meaning unit text (as, " I went ") export to this learner.Current meaning unit text is output with the form of voice or text.At step S434, output control unit is discerned this learner's voice, and determines whether this learner has correctly carried out repetition learning.In this case, if can not correctly discern this learner's voice, then allow this learner to import its voice (for example, three times) repeatedly.
Subsequently, at step S436, the cypher text of the current meaning of the output unit of output control unit output translation and relevant issues (for example, with this learner mother tongue " I went " and " where to ").At step S438, output control unit is discerned this learner's voice, and determines whether this learner has correctly carried out repetition learning.As mentioned above, export the text and the relevant issues of current meaning unit text, translation.
When the cypher text of output current meaning unit and relevant issues were output as mentioned above, at step S440, output control unit increased the pointer of current meaning unit, and makes this process turn back to step S432.If in the interesting unit of step output of the pointer that increases current meaning unit, output control unit returns this process.
Fig. 9 C is the process flow diagram of another example (verbal learning control 2) of the verbal learning controlled step S422 of presentation graphs 9A.In this example, when the cypher text of a meaning unit of the role's who selects with speech form output lines, this learner reads aloud the meaning unit consistent with the cypher text of being exported.In this case, do not export relevant issues to this learner.
For example, in step S452, output control unit export current meaning unit cypher text (as, with " the I went " of learner's mother tongue).At step S454, output control unit receives voice and discerns this voice from this learner, and determines at step S456 whether this learner has correctly carried out repetition learning.At this moment, output control unit compares recognition result and current meaning unit (for example, " I went ").Therefore, this learner can use a kind of like this mode that the mother tongue problem cypher text of unit (meaning) is provided foreign language response (meaning unit text) to carry out verbal learning.
Subsequently, output control unit increases the pointer of this current meaning unit at step S458, and uses a meaning unit of the lines part of forming the role who selects to continue verbal learning.
Fig. 9 D is the process flow diagram of another example (verbal learning control 3) of the verbal learning controlled step S422 of presentation graphs 9A.In this example, accumulation and the verbal learning that carries out Fig. 9 C repeatedly.
At first, at step S461, output control unit is exported the cypher text of a current meaning unit (with " the I went " of this learner's mother tongue).After this, at step S462, output control unit is discerned a learner voice.After this, output control unit with this learner's recognizing voice and current meaning unit text (as, " I went ") relatively.
Then, output control unit increases the pointer of current meaning unit at step S463.If no longer include meaning unit, output control unit returns this process.If current meaning unit is arranged, at step S465, output control unit export current meaning unit cypher text (as, with " the to Kimpo airport " of learner mother tongue).Then, at step S466, output control unit is discerned this learner's voice.After this, this learner's that output control unit will be discerned voice and current meaning unit text (as, " to Kimpo airport ") compare.
Then, output control unit is at the cypher text of the accumulation of the meaning unit that step S467 output is exported so far.Then, at step S468, output control unit is discerned this learner's voice.After this, output control unit with this learner's recognizing voice and the current meaning unit text of accumulation (as, " I went to Kimpo airport ") compare.Behind the step S468 of the voice of carrying out this learner of identification, output control unit makes this process turn back to step S463.
Fig. 9 E is the process flow diagram of another example (spoken control 4) of the verbal learning controlled step S422 of presentation graphs 9A.In this example, accumulation and the verbal learning that carries out Fig. 9 C repeatedly.
At first, at step S471, output control unit is exported the cypher text (as " the I went " with learner's mother tongue) of a current meaning unit.Then, at step S472, output control unit is discerned this learner's voice.After this, output control unit this learner's that will discern voice and current meaning unit text (for example, " I went ") are relatively.Then, output control unit is exported relevant issues (for example, using " the where to " of learner's mother tongue) at step S473.
When output during these relevant issues, at step S474, output control unit increases the pointer of this current meaning unit, and step S475 determine whether to finish the output of interesting unit.If finished the output of interesting unit, output control unit returns this process.If finish the output of interesting unit, then output control unit is discerned another voice of this learner at step S476.Then, this learner's that output control unit will be discerned voice and current meaning unit text (as, " to Kimpo airport ") compare.After this, output control unit makes this process turn back to step S473.
Fig. 9 F is the process flow diagram of another example (verbal learning control 5) of the verbal learning controlled step S422 of Fig. 9 A.In this example, the output of the accumulation and the relevant issues of the verbal learning that carries out Fig. 9 E repeatedly.
At first, at step S481, output control unit is exported the cypher text (using " the I went " of learner's mother tongue) of a current meaning unit.Then, at step S482, output control unit is discerned a learner voice.After this, this learner's that output control unit will be discerned voice and current meaning unit text (as, " I went ") relatively.Then, output control unit step S483 output with respect to relevant issues of this current meaning unit (as, with " the where to " of learner's mother tongue).
When output during these relevant issues, output control unit increases the pointer of this current meaning unit at step S484, and step S485 determine whether to finish the output of interesting unit.If finished the output of interesting unit, output control unit returns this process.If finish the output of interesting unit, output control unit is discerned this learner's voice at step S486.Then, this learner's that output control unit will be discerned voice and current meaning unit text (as, " to Kimpo airport ") compare.
Then, the relevant issues text that output control unit is accumulated in step S487 output (as, " the I went " and " where to " of usefulness learner's mother tongue).Then, at step S488, output control unit is discerned this learner's voice.After this, this learner's that output control unit will be discerned voice and current meaning unit text (as, " I went to Kimpo airport ") compare.Then, output control unit makes this process turn back to step S483.
Fig. 9 G is the process flow diagram of another example (verbal learning control 6) of the verbal learning controlled step S422 of presentation graphs 9A.In this example, import a learner voice, and determine whether these input voice are consistent with a role who selects lines.That is, this learner should import the role's of selection lines with the form of voice.
Output control unit receives the voice of selected role's lines at step S491 from this learner, discerns this voice at step S492, and at step S493 the role's of the voice of identification and selection lines is compared.This combine text that relatively is the meaning unit combination of voice and lines by all being constituted selected role by this learner that will discern obtains compares to be carried out.
If the voice of identification conform to this combine text, this output control unit allows this process to return to continue role playing study.On the contrary, if voice and this combine text of identification are not inconsistent, output control unit makes this process turn back to the step S491 that receives voice from this learner.
Figure 10 is the process flow diagram of an example of expression, wherein carries out the reading learning control of Fig. 6 in more detail in a kind of basic studies mode.
As is shown in this figure, when beginning verbal learning according to the basic studies mode, transmit control unit 130 or 320 is exported the text data of a current meaning unit at step S510.
Then, transmit control unit 130 or 320 will transmit an order so that export the data of this current meaning unit and receive voice data at step S530 from a user with the form of text at step S520.The information that comprises relevant this user's pronunciation from this user's voice data.
Then, this transmit control unit is at the voice data of the current meaning unit of step S540 speech recognition output and the voice data that receives from this user, and voice data and the current meaning cell data of being discerned compared, and determine at step S560 whether this user's pronunciation is correct at step S550.That is, discern the voice data that is received by the feature of extracting from the voice data that receives.If correct execution speech recognition, determine that then this user's pronunciation is correct; And if not correct execution speech recognition determines that then this pronunciation is incorrect.
If definite incorrect from this user's voice data, at step S570, transmit control unit is exported a speech message, for example " tries again ", and makes this process turn back to step S520.
Figure 11 is the process flow diagram of expression one example, wherein carries out the reading learning control of Fig. 6 in more detail with a kind of accumulation and repetition learning mode.
As shown in this Fig, when according to accumulation and repetition learning mode when beginning verbal learning, at step S610, transmit control unit 130 or 320 combinations with from a consistent text data in a plurality of meanings unit that initially looks like current meaning unit, unit to.
Transmit control unit transmits the meaning unit text data of combination at step S620, and exports the meaning unit text of combination with the form of pressing text in step S630 issue one order.In addition, at step S640, transmit control unit receives this user's voice data.This user's voice data comprises the information of relevant this user's pronunciation.
After this, the voice data that transmit control unit receives from this user in step S650 speech recognition, and at step S660 the voice data of identification is compared with combination meaning unit text, and determine at step S670 whether this user's pronunciation is correct.That is, discern the voice data of reception by the feature of extracting from the voice data that receives.If the correct execution speech recognition determines that then this user's pronunciation is correct, and if can not the correct execution speech recognition, determine that then this pronunciation is incorrect.
If determine that this pronunciation is incorrect, at step S680, transmit control unit is exported a speech message, as " trying again ", and makes this process turn back to the step S630 of output combination meaning unit text.
Although in the embodiment shown in Figure 11, verbal learning is described to be undertaken by the voice that make this learner repeat this meaning unit, and reading learning can carry out and makes this learner read this meaning unit text with this mode of the voice of output meaning unit text rather than meaning unit.When carrying out this reading learning, combine text and in step S620, transmit combination meaning unit text in step S610.
After this, transmit control unit not execution in step S630 but receive user's voice data at step S640 preventing to export the voice of meaning unit.When receiving this user's voice data as mentioned above, at step S650, this voice data of transmit control unit speech recognition, and at step S660, the speech data of identification and the meaning unit text of transmission are compared, and determine at step S670 whether this user's reading is correct.
Figure 12 is the process flow diagram of an example of expression, wherein carries out the dictation Learning Control of Fig. 6 in more detail in a kind of basic studies mode.
As shown in this Fig, when beginning dictation study according to this basic studies mode, transmit the text data of a current meaning unit and issue an order so that export current meaning unit with the form of voice at step S720 at step S710 transmit control unit.
After this, at step S730, transmit control unit receives from a user text data and at step S740 and will compare from the text data of this user's reception and the text data of current meaning unit.In this case, if two text datas conform to, determine that then this user's dictation is correct; If these two text datas do not conform to, then determine that at step S750 this user's dictation is incorrect.
If determine that this dictation is incorrect, at step S760, transmit control unit is exported a speech message, as " trying again ", allows this process to turn back to issue one order so that export the step S720 of current meaning unit with the form of voice then.
If determine that this dictation is correct, transmit control unit issue one order is so that export this current meaning unit so that allow this user to confirm current meaning unit text at step S770 with the form of text.
Figure 13 is the process flow diagram of an example of expression, wherein with a kind of accumulation and the repetition learning mode dictation learning procedure of execution graph 6 in more detail.
As shown in this Fig, when beginning when study dictation according to accumulation and repetition learning mode, at step S810, the transmit control unit combination is from a text of a plurality of meanings unit unanimity that initially looks like current meaning unit, unit to.
Then, transmit control unit transmits the meaning unit text data of this combination at step S820, and orders so that make up meaning unit text data with the form output of voice in step S830 issue one, and receives a user text data at step S840.After this, transmit control unit will compare from the text data of this user's reception and the meaning unit text data of combination at step S850, and determine at step S860 whether this user's dictation is correct.In detail, if two text datas conform to, determine that then this user's dictation is correct; If two text datas do not conform to, determine that then this user's dictation is incorrect.
If determine that this dictation is incorrect, at step S870, transmit control unit is exported a speech message, as " trying again ", allows this process to turn back to issue one order so that export the step S830 of the meaning unit of combination with the form of voice then.
If determine that this dictation is correct, transmit control unit issue one order is so that make up meaning unit so that allow this user to confirm combination meaning unit text at step S880 with the form output of text.
Although in the above-described embodiments, the present invention has been described to be applied to English language study, and the present invention also may be used on any language that its sentence can be divided into a plurality of meanings unit in study.In addition, although in the above-described embodiments, the present invention has been described to inquire user's one relevant issues, has received audio frequency or text data and determine whether correct a kind of like this mode constitutes for this user's answer from this user, many pictures or text is provided, requires this user to make a choice and determines whether correct a kind of like this mode constitutes for this user's answer to the user but the present invention is also available.Promptly, in this case, to a plurality of meanings unit that a user provides a plurality of meanings unit that is applicable to single relevant issues and is not suitable for these relevant issues, determine whether this user-selected one meaning unit is included in the suitable meaning unit with the form of picture or text.In this case, use these pictures and related with text.
Although learning materials have been described as be between informant's device and user's set and have transmitted in real time through the Internet, the learning materials of being selected by a learner can once all be sent to this learner's terminal, and utilize in this user's terminal (user's set).In addition, the learning materials of the learning materials DB that is provided by this informant's device are stored in a portable memory apparatus, in CD, DVD, tape or the like, and offer a learner (user) and use in this learner's computing machine.In addition, although in the above-described embodiments, a learner voice are described as by this system and method and discern so that improve learning efficiency, do not having under the situation of speech recognition engine, and according to meaning unit and relevant issues, also can speech form output sentence.Therefore, language teaching system allows online or off line language teaching according to an embodiment of the invention.
As mentioned above, the invention provides a kind of method and apparatus that is used for language teaching, can effectively provide through the Internet according to learner's level listen, say, the read and write teaching.In addition, the invention provides a meaning unit and relevant issues so that change a sentence according to a kind of situation.In addition, the present invention allows the learner to learn the word order of sentence naturally and the ability that generates and predict sentence is provided.In addition, the present invention allows to use the online or off line language teaching of multimedia learning data.
Although be used for disclosed the preferred embodiments of the present invention of illustrative purpose, those skilled in the art can understand in situation about not breaking away from by the disclosed scope and spirit of the present invention of claim of enclosing, and may make various changes, increase and replacement.
Claims (10)
1. system that is used for language teaching comprises:
Informant's device is used for the form storage sentence with text data, and wherein each sentence is divided into meaning unit; With the form storage relevant issues of text data, wherein each relevant issues correlates meaning unit each other; According to the order of speech, order is also repeatedly extracted each meaning unit text data of being stored and the relevant issues text data that correlates with the meaning unit text data that is extracted; And transmit meaning unit text data and the relevant issues text data extracted through the Internet; And
User's set is used to receive and export described meaning unit text data and the described relevant issues text data that transmits from described informant's device, and will be sent to described informant's device by the text data of user's input;
Wherein said meaning unit is the set that forms the speech of a meaning composition, and relevant issues derive corresponding meaning unit;
Described informant's device comprises:
The learning materials storage unit is used for the control signal of response extraction learning materials, output meaning unit text data and relevant issues text data;
Receive data memory unit, be used to store the data that received, simultaneously the data that received are divided into text data, voice data and membership information; And
Transmit control unit is used for control and transmits, so that through meaning unit text data and the relevant issues text data of network transmission corresponding to the member of the membership information that is received from described reception data memory unit;
Current meaning cell data is also exported in described transmit control unit initialization current meaning unit, if described current meaning unit is not last meaning unit, then after current pointer is added 1, export current meaning cell data, if and described current meaning unit is that last meaning unit and this process do not finish, then make process enter next learning materials.
2. the system as claimed in claim 1 is characterized in that, described learning materials storage unit comprises:
Learning materials database D B is used for according to learning areas and level, the storage learning materials;
A plurality of impact dampers are respectively applied for storage described meaning unit text data and described relevant issues text data; And
Learning materials are extracted control module, be used to respond a certain learning materials and extract control signal, from learning materials DB, extract corresponding learning materials, the learning materials of being extracted are divided into meaning unit text data or relevant issues data, and in a corresponding impact damper, store institute's classified text data.
3. system as claimed in claim 2 is characterized in that, described learning materials DB comprises:
N meaning cell data field, each is used for storing of n the unit text data that looks like constituting single sentence; And
N-1 relevant issues text data field is used to store n-1 relevant issues, and each relevant issues makes meaning unit associated with each other.
4. the system as claimed in claim 1 is characterized in that, described reception data memory unit comprises:
Receive control module, the data that are used for being received are divided into text data, voice data or membership information;
Receive text buffer, be used to store the reception data that are divided into text data by described reception control module; And
Receive audio buffer, be used to store the reception data that are divided into voice data by described reception control module.
5. the system as claimed in claim 1 is characterized in that, described user's set comprises:
Receive control module, be used for receiving data, and export the data that received, simultaneously the data that received are divided into meaning unit text data or relevant issues text data from described informant's device;
A plurality of impact dampers are used for storing respectively meaning unit text data and relevant issues text data from described reception control module output; And
Output control unit, be used for controlling output so that being stored in the described meaning unit text data and the relevant issues text data of described impact damper is output through video output device, and the meaning single vowel audio data and the relevant issues voice data that are stored in the described impact damper are output through audio output device.
6. system as claimed in claim 5 is characterized in that, described impact damper comprises:
Meaning unit text buffer is used to store described meaning unit text data;
The relevant issues text buffer is used to store described relevant issues text data;
Meaning unit audio buffer is used to store described meaning single vowel audio data; And
The relevant issues audio buffer is used to store described relevant issues voice data.
7. the system as claimed in claim 1 is characterized in that, described user's set comprises:
Transmission/reception control module, be used for receiving data, and the data that output is received are divided into the data that received meaning unit text data, meaning single vowel audio data, relevant issues text data or relevant issues voice data simultaneously from described informant's device;
A plurality of impact dampers are respectively applied for meaning unit text data, meaning single vowel audio data, relevant issues text data and the relevant issues voice data of storage from described reception control module output; And
Output control unit, be used for control output, so that the meaning unit text data and the relevant issues text data that are stored in the described impact damper are output through video output device, and the meaning single vowel audio data and the relevant issues voice data that are stored in the described impact damper are output through audio output device.
8. system as claimed in claim 7 is characterized in that described user's set further comprises from the input block of user's receiving text data and voice data.
9. system as claimed in claim 7, it is characterized in that, described user's set further comprises recognition unit, described recognition unit will compare with the described meaning unit text data that is stored in first respective buffer from the text data of described input block input, and will comparing with the described meaning single vowel audio data that is stored in second respective buffer, and output comparative result from the described voice data of described input block input.
10. system as claimed in claim 7, it is characterized in that, current meaning cell data is also exported in described transmit control unit initialization current meaning unit, if described current meaning unit is not last meaning unit, then after current pointer is added 1, export current meaning cell data, and if described current meaning unit be that last meaning unit and process do not finish, then require next learning materials.
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| KR10-2002-0043623A KR100392890B1 (en) | 2001-12-12 | 2002-07-24 | System and Method for Language Education Using Thought Unit and Relation Question, and Storage Media for Language Education |
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| KR101313268B1 (en) * | 2011-10-12 | 2013-09-30 | 정철 | English study material, for enhancing english speaking ability, using english sentence construction theory |
| CN103198726A (en) * | 2013-04-23 | 2013-07-10 | 李华 | English learning equipment |
| CN104835366B (en) * | 2015-05-07 | 2018-11-13 | 肖思俐 | A kind of Chinese studying systems |
| KR101668581B1 (en) * | 2016-04-29 | 2016-10-21 | 박정선 | Sentence Build Up English Studying System, English Studying Method Using the Same and Teaching Method Thereof |
| KR102574916B1 (en) | 2023-05-30 | 2023-09-06 | 주식회사 골드앤에스 | English Learning Method using English Learning Materials based on Communication-centered Interaction |
| KR20250005670A (en) * | 2023-07-03 | 2025-01-10 | 주식회사 뉴다이브 | Digital therapeutics system and method based on cognitive behavior therapy |
| CN119417673A (en) * | 2025-01-08 | 2025-02-11 | 北京策腾数字科技集团有限公司 | An intelligent learning assistance system and method based on NLP and speech processing |
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| JPH10143061A (en) * | 1996-11-14 | 1998-05-29 | Nippon Bairingaru Media Kk | Foreign language learning device |
| JPH1138863A (en) * | 1997-07-17 | 1999-02-12 | Fuji Xerox Co Ltd | Language information apparatus |
| JPH11282826A (en) * | 1998-03-31 | 1999-10-15 | Nippon Telegr & Teleph Corp <Ntt> | Electronic education system using internet |
| US6077085A (en) * | 1998-05-19 | 2000-06-20 | Intellectual Reserve, Inc. | Technology assisted learning |
| JP2001022265A (en) * | 1999-07-06 | 2001-01-26 | Alc Press Inc | Language study system using digital movie software |
| EP1139318A4 (en) * | 1999-09-27 | 2002-11-20 | Kojima Co Ltd | PRONUNCIATION EVALUATION SYSTEM |
| JP2001222212A (en) * | 2000-02-09 | 2001-08-17 | Shigeru Taniguchi | Subtitle changeover type video software for learning language |
| JP2001337595A (en) * | 2000-05-25 | 2001-12-07 | Hideo Ando | Language learning support program and constituting method for the program |
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