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    <abstract>We collected a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on the web. This corpus has found widespread use in the NLP community. Here, we focus on its acquisition and its application as training data for statistical machine translation (SMT). We trained SMT systems for 110 language pairs, which reveal interesting clues into the challenges ahead.</abstract>
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%0 Conference Proceedings
%T Europarl: A Parallel Corpus for Statistical Machine Translation
%A Koehn, Philipp
%S Proceedings of Machine Translation Summit X: Papers
%D 2005
%8 sep 13 15
%C Phuket, Thailand
%F koehn-2005-europarl
%X We collected a corpus of parallel text in 11 languages from the proceedings of the European Parliament, which are published on the web. This corpus has found widespread use in the NLP community. Here, we focus on its acquisition and its application as training data for statistical machine translation (SMT). We trained SMT systems for 110 language pairs, which reveal interesting clues into the challenges ahead.
%U https://aclanthology.org/2005.mtsummit-papers.11
%P 79-86

Markdown (Informal)

[Europarl: A Parallel Corpus for Statistical Machine Translation](https://aclanthology.org/2005.mtsummit-papers.11) (Koehn, MTSummit 2005)

• Europarl: A Parallel Corpus for Statistical Machine Translation (Koehn, MTSummit 2005)

ACL

• Philipp Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. In Proceedings of Machine Translation Summit X: Papers, pages 79–86, Phuket, Thailand.