arXiv:2010.11032 공식 코드 · Papers with Code

Classifying Syntactic Errors in Learner Language

Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, Omri Abend

제출 2020-10-21

원문 초록

We present a method for classifying syntactic errors in learner language, namely errors whose correction alters the morphosyntactic structure of a sentence. The methodology builds on the established Universal Dependencies syntactic representation scheme, and provides complementary information to other error-classification systems. Unlike existing error classification methods, our method is applicable across languages, which we showcase by producing a detailed picture of syntactic errors in learner English and learner Russian. We further demonstrate the utility of the methodology for analyzing the outputs of leading Grammatical Error Correction (GEC) systems.

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