Word Order Correction for Language Transfer Using Relative Position Language Modeling
Chao-Hong Liu,
Chung-Hsien Wu,
Matthew Harris
Abstract:Sentence correction has been an important and emerging issue in computer-assisted language learning. However, existing techniques based on grammar rules or statistical machine translation are still not robust enough to tackle the common incorrect word order errors in sentences produced by second language learners of Chinese. In this paper, a novel relative position language model is proposed to address this problem, for which a corpus of erroneous English-Chinese language transfer sentences along with their co… Show more
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