method ID: m2

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

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

In this work, we study parameter tuning to- wards the M2 metric, the standard metric for automatic grammar error correction (GEC) tasks. After implementing M2 as a scorer in the …...

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Revisiting Modularized Multilingual NMT to Meet Industrial Demands

Authors: nan

Publication: TIPSTER (2020)

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AbstractThe complete sharing of parameters for multilingual translation (1-1) has been the mainstream approach in current research. However, degraded performance due to the capacity bottleneck and low maintainability hinders its …...

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