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Title:Statistical phrase-based translation
Authors: Philipp Koehn ; Franz Josef Och ; Daniel Marcu
Date: 2003
Publication Title:Proceedings of HLT-NAACL 2003 (Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics)
Publisher:ACL
Publication Type:Conference Paper Publication Status:Published
Page Nos:48-54
Abstract:
We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within our framework, we carry out a large number of experiments to understand better and explain why phrase-based models outperform word-based models. Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations. Surprisingly, learning phrases longer than three words and learning phrases from high-accuracywordlevel alignment models does not have a strong impact on performance. Learning only syntactically motivated phrases degrades the performance of our systems.
Copyright:
2006 by ACL. All Rights Reserved
Links To Paper
1st Link
Bibtex format
@InProceedings{EDI-INF-RR-0731,
author = { Philipp Koehn and Franz Josef Och and Daniel Marcu },
title = {Statistical phrase-based translation},
book title = {Proceedings of HLT-NAACL 2003 (Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics)},
publisher = {ACL},
year = 2003,
pages = {48-54},
url = {http://acl.ldc.upenn.edu/N/N03/N03-1017.pdf},
}


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