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        <title>Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings</title>
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    <abstract>We propose a new method for extracting pseudo-parallel sentences from a pair of large monolingual corpora, without relying on any document-level information. Our method first exploits word embeddings in order to efficiently evaluate trillions of candidate sentence pairs and then a classifier to find the most reliable ones. We report significant improvements in domain adaptation for statistical machine translation when using a translation model trained on the sentence pairs extracted from in-domain monolingual corpora.</abstract>
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%0 Conference Proceedings
%T Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings
%A Marie, Benjamin
%A Fujita, Atsushi
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F marie-fujita-2017-efficient
%X We propose a new method for extracting pseudo-parallel sentences from a pair of large monolingual corpora, without relying on any document-level information. Our method first exploits word embeddings in order to efficiently evaluate trillions of candidate sentence pairs and then a classifier to find the most reliable ones. We report significant improvements in domain adaptation for statistical machine translation when using a translation model trained on the sentence pairs extracted from in-domain monolingual corpora.
%R 10.18653/v1/P17-2062
%U https://aclanthology.org/P17-2062
%U https://doi.org/10.18653/v1/P17-2062
%P 392-398

Markdown (Informal)

[Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings](https://aclanthology.org/P17-2062) (Marie & Fujita, ACL 2017)

• Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings (Marie & Fujita, ACL 2017)

ACL

• Benjamin Marie and Atsushi Fujita. 2017. Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 392–398, Vancouver, Canada. Association for Computational Linguistics.