Artificial Error Generation with Machine Translation and Syntactic Patterns Artificial Error Generation with Machine Translation and Syntactic Patterns
Paper summary 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. https://i.imgur.com/xEMm1oM.png
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Artificial Error Generation with Machine Translation and Syntactic Patterns
Rei, Marek and Felice, Mariano and Yuan, Zheng and Briscoe, Ted
Association for Computational Linguistics BEA@EMNLP - 2017 via Local Bibsonomy
Keywords: dblp


Summary by Marek Rei 6 months ago
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