Verb Replacer: An English Verb Error Correction System

نویسندگان

  • Yu-Hsuan Wu
  • Jhih-Jie Chen
  • Jason S. Chang
چکیده

According to the analysis of Cambridge Learner Corpus, using a wrong verb is the most common type of grammatical errors. This paper describes Verb Replacer, a system for detecting and correcting potential verb errors in a given sentence. In our approach, alternative verbs are considered to replace the verb based on an errorannotated corpus and verb-object collocations. The method involves applying regression on channel models, parsing the sentence, identifying the verbs, retrieving a small set of alternative verbs, and evaluating each alternative. Our method combines and improves channel and language models, resulting in high recall of detecting and correcting verb misuse.

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تاریخ انتشار 2017