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Hierarchical phrase-based translation (2007)
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| Venue: | Computational Linguistics |
| Citations: | 597 - 9 self |
BibTeX
@ARTICLE{Chiang07hierarchicalphrase-based,
author = {David Chiang},
title = {Hierarchical phrase-based translation},
journal = {Computational Linguistics},
year = {2007},
volume = {33}
}
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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 phrasebased system. 1.
Keyphrases
hierarchical phrase-based translation translation accuracy phrase-based translation statistical machine translation model contain subphrases alignment template system translation speed syntax-based translation syntactic annotation synchronous context-free grammar system training parallel text hierarchical phrase fundamental idea state-of-the-art phrasebased system
