Sennrich-Haddow-Birch Rare Words Neural Machine Translation System

A Sennrich-Haddow-Birch Rare Words Neural Machine Translation System is a Neural Machine Translation System that can solve a Sennrich-Haddow-Birch Rare Words Neural Machine Translation Task by implementing a BPE Word Segmentation Algorithm.

• AKA: Sennrich's Rare Words Neural Machine Translation System.
• Context:
  • It was developed by Sennrich et al. (2016).
  • Resource(s):
    • software is available at https://github.com/rsennrich/subword-nmt
  • System's Architecture:
    • It evaluates the performance of following neural machine translation system:
      • Sennrich-Haddow Syntax-based Statistical Machine Translation System (Sennrich & Haddow, 2015);
      • Edinburgh/JHU Phrase-based Machine Translation Systems (Haddow et al., 2015);
  • Training and other ML Tools :
    • It trains NMT systems by implementing a new BPE Word Segmentation Algorithm to build an open-vocabulary of subword units.
• Example(s):
  • …
• Counter-Example(s):
  • Lee-Krahmer-Wubben_Data-To-Text_Generation_System,
  • Clark-Ji-Smith_Neural_Narrative_Text_Generation_System,
  • LSPGS_Wikipedia_Long_Sentences_Summarization_System,
  • MaskGAN System,
  • SentencePiece System.
• See: Neural Machine Translation System, Neural Text Generation System, Natural Language Processing System, Neural Encoder-Decoder System.

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References

2016

• (Sennrich et al., 2016) ⇒ Rico Sennrich, Barry Haddow, and Alexandra Birch. (2016). “Neural Machine Translation of Rare Words with Subword Units". In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016).

2015a

• (Haddow et al., 2015) ⇒ Barry Haddow, Matthias Huck, Alexandra Birch, Nikolay Bogoychev, and Philipp Koehn. (2015). “The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 2015". In: Proceedings of the Tenth Workshop on Statistical Machine Translation, WMT@EMNLP 2015. DOI:10.18653/v1/W15-3013.

2015b

• (Sennrich & Haddow, 2015) ⇒ Rico Sennrich, and Barry Haddow. (2015). “A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation.” In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015). DOI:10.18653/v1/D15-1248.

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