We focus on providing correct collocation sug- gestions for lexical miscollocations. Three features are employed to identify the correct collocation substitute ...
We focus on providing correct collocation sug- gestions for lexical miscollocations. Three features are employed to identify the correct collocation substitute ...
One of the most common and persistent error types in second language writing is collocation errors, such as learn knowledge instead of gain or acquire ...
A probabilistic model for suggesting corrections to lexical collocation errors is proposed that incorporates three features: word association strength (MI), ...
In this work-inprogress report, we propose a probabilistic model for suggesting corrections to lexical collocation errors. The probabilistic model incorporates ...
In this work-in-progress report, we propose a probabilistic model for suggesting corrections to lexical collocation errors. The probabilistic model incorporates ...
Bibliographic details on Automated Suggestions for Miscollocations.
Our study focuses on how to find suggestions for miscollocations automatically. In this paper, only verb-noun collocations and miscollocations are considered.
We use a data-driven classifier to provide collocation suggestions to improve word choices, based on the result of classification. The system generates and ...
Aug 26, 2016 · We developed a collocational aid designed to suggest more appropriate collocations in Japanese. In particular, we address the problem of generating and ranking ...