Artificial Error Generation with Machine Translation and Syntactic Patterns
Artificial Error Generation with Machine Translation and Syntactic Patterns
Rei, Marek and Felice, Mariano and Yuan, Zheng and Briscoe, Ted
2017
Paper summary
marek
Investigating methods for generating artificial data in order to train better systems for detecting grammatical errors. The first approach uses regular machine translation, essentially translating from correct English to incorrect English. The second method uses local patterns with slots and POS tags to insert errors into new text.
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