Verified claim · AI-ML · 100% confidence
Byte-Pair Encoding (BPE) for Neural Machine Translation introduced in paper: Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015).
Last verified 2026-05-16 · Methodology veritas-v0.1 · e942c93d70a4dab2
Structured fields
- Subject
- Byte-Pair Encoding (BPE) for Neural Machine Translation
- Predicate
introduced_in_paper- Object
- Neural Machine Translation of Rare Words with Subword Units (Sennrich et al., 2015)
- Confidence
- 100%
- Tags
- bpe · tokenization · foundational · sennrich · 2015 · acl · nmt
Sources (2)
[1] preprint · arXiv (Sennrich, Haddow, Birch) · 2015-08-31
Neural Machine Translation of Rare Words with Subword Units“We introduce a simpler and more effective approach, making the NMT model capable of open-vocabulary translation by encoding rare and unknown words as sequences of subword units.”
[2] peer reviewed · Association for Computational Linguistics · 2016-08-07
Neural Machine Translation of Rare Words with Subword Units (ACL 2016)
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