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.
Due to using a wrong verb is the most common grammatical errors, Wu et al. REF described a system for detecting and correcting potential verb errors in a given sentence.
Verb Replacer: An English Verb Error Correction System
IJCNLP
Computer Science