Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction

@inproceedings{JunczysDowmunt2016PhrasebasedMT,
  title={Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction},
  author={Marcin Junczys-Dowmunt and Roman Grundkiewicz},
  booktitle={EMNLP},
  year={2016}
}
In this work, we study parameter tuning towards the M2 metric, the standard metric for automatic grammar error correction (GEC) tasks. After implementing M2 as a scorer in the Moses tuning framework, we investigate interactions of dense and sparse features, different optimizers, and tuning strategies for the CoNLL-2014 shared task. We notice erratic behavior when optimizing sparse feature weights with M2 and offer partial solutions. To our surprise, we find that a bare-bones phrase-based SMT… CONTINUE READING
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