Corpus ID: 230435667

Decoding Time Lexical Domain Adaptationfor Neural Machine Translation

@article{Bogoychev2021DecodingTL,
  title={Decoding Time Lexical Domain Adaptationfor Neural Machine Translation},
  author={Nikolay Bogoychev and Pinzhen Chen},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.00421}
}
  • Nikolay Bogoychev, Pinzhen Chen
  • Published 2021
  • Computer Science
  • ArXiv
    • Machine translation systems are vulnerable to domain mismatch, especially when the task is low-resource. In this setting, out of domain translations are often of poor quality and prone to hallucinations, due to the translation model preferring to predict common words it has seen during training, as opposed to the more uncommon ones from a different domain. We present two simple methods for improving translation quality in this particular setting: First, we use lexical shortlisting in order to… CONTINUE READING
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