Neural Machine Translation of Rare Words with Subword Units
Sennrich et al., 2016, Neural Machine Translation of Rare Words with Subword Units (Proceedings of the 54th Annual Meeting of ACL (Volume 1: Long Papers))
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5.2 Manual Analysis
- What did manual analysis show about subword NMT outputs?Subword systems learned compounding and transliteration, translating “health research institutes” correctly even with odd segmentations like Forsch|ungsinstitu|ten. Errors came from data sparseness (asinine) and inconsistent source/target segmentations, which joint BPE reduced.
- Sennrich et al., 2016, Neural Machine Translation of Rare Words with Subword Units (Proceedings of the 54th Annual Meeting of ACL (Volume 1: Long Papers)), §5.2, pp. 1722–1723
Source
- 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 (Volume 1: Long Papers), pp. 1715–1725. License: CC BY 4.0. Flashcards adapted from this work. doi:10.18653/v1/P16-1162 https://aclanthology.org/P16-1162/