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- W2386683901 abstract "Chinese text automatic proofreading is an important topic in the field of natural language processing.In Chinese test proofreading,there are many kinds of errors,homophone errors account for a large proportion.In this paper,proposes a method based on decision list,at first,we sort out 1000 pairs of homophone sets,secondly we train 2-gram models and context models through a large scale of corpus.When we proofread text,extract 2-gram and context feature of a word in the homophone confusion sets and its homophone.According to the models calculate model support,namely decision list is constructed.We can judge the hightest model support and appropriate homophone,thus implement automatic detection and correction of homophone errors.At last,we improve the experiment with synonyms clustering,improve the problem brought by rarefaction of data,improve recall rate.According to experiments,we can prove this method can slove homophone errors effectively." @default.
- W2386683901 created "2016-06-24" @default.
- W2386683901 creator A5068394814 @default.
- W2386683901 date "2015-01-01" @default.
- W2386683901 modified "2023-09-23" @default.
- W2386683901 title "Automatic detection and correction of Chinese homophone errors by decision list" @default.
- W2386683901 hasPublicationYear "2015" @default.
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