Computational Linguistics - Special issue on web as corpus
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Reliable measures for aligning Japanese-English news articles and sentences
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Improving Machine Translation Performance by Exploiting Non-Parallel Corpora
Computational Linguistics
From words to corpora: recognizing translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Language and translation model adaptation using comparable corpora
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A beam-search extraction algorithm for comparable data
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Extracting parallel sentences from comparable corpora using document level alignment
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Two ways to use a noisy parallel news corpus for improving statistical machine translation
BUCC '11 Proceedings of the 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web
Extracting parallel phrases from comparable data
BUCC '11 Proceedings of the 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web
Twitter translation using translation-based cross-lingual retrieval
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
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The paper presents a novel sentence pair extraction algorithm for comparable data, where a large set of candidate sentence pairs is scored directly at the sentence-level. The sentence-level extraction relies on a very efficient implementation of a simple symmetric scoring function: a computation speed-up by a factor of 30 is reported. On Spanish-English data, the extraction algorithm finds the highest scoring sentence pairs from close to 1 trillion candidate pairs without search errors. Significant improvements in BLEU are reported by including the extracted sentence pairs into the training of a phrase-based SMT (Statistical Machine Translation) system.