Improving Fluency of Non-Autoregressive Machine Translation

7 Apr 2020Zdeněk KasnerJindřich LibovickýJindřich Helcl

Non-autoregressive (nAR) models for machine translation (MT) manifest superior decoding speed when compared to autoregressive (AR) models, at the expense of impaired fluency of their outputs. We improve the fluency of a nAR model with connectionist temporal classification (CTC) by employing additional features in the scoring model used during beam search decoding... (read more)

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