Out-Of-Vocabulary (OOV) Word Machine Translation System

An Out-Of-Vocabulary (OOV) Word Machine Translation System is a Neural Machine Translation System that detects and translates OOV words.

• AKA: Out-Of-Vocabulary (OOV) Token Machine Translation System.
• Context:
  • It usually requires a OOV Detection System.
  • It can range from being an Unknown Word Translation System to being a Rare Word Translation System.
• Example(s):
  • Sennrich-Haddow-Birch Rare Words Neural Machine Translation System,
  • Luong et al. Rare Words Neural Machine Translation System,
  • …
• Counter-Example(s):
  • IV Word Translation System,
  • Phrase-based Translation System,
  • Word Segmentation System.
• See: Word Embedding System, Text Generation System, Text Translation System, Natural Language Processing 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).

2015

• (Luong et al., 2015) ⇒ Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, and Wojciech Zaremba. (2015). “Addressing the Rare Word Problem in Neural Machine Translation.” In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL 2015) Volume 1: Long Papers.

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