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Cited by 1,144

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Hierarchical Phrase-Based Translation

Open access
Chiang, David·2007·Computational Linguistics

Abstract

We present a statistical machine translation model that uses hierarchical phrases—phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a parallel text without any syntactic annotations. Thus it can be seen as combining fundamental ideas from both syntax-based translation and phrase-based translation. We describe our system's training and decoding methods in detail, and evaluate it for translation speed and translation accuracy. Using BLEU as a metric of translation accuracy, we find that our system performs significantly better than the Alignment Template System, a state-of-the-art phrase-based system.

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Metadata

Authors
Chiang, D.
Venue
Computational Linguistics
Published
2007-06
Volume
33
Issue
2
Pages
201-228
ISSN
  • 0891-2017 (ISSN-L)
  • 1530-9312
OpenAlex
W2437005631
Cited by
1,144
References
1
FWCI
113.86
Type
journal article
Language
en
Open access
bronze

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Chiang, D. (2007). Hierarchical Phrase-Based Translation. Computational Linguistics. https://doi.org/10.1162/coli.2007.33.2.201

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