DFKI-LT - MultiUN: A Multilingual Corpus from United Nation Documents

Andreas Eisele, Yu Chen
MultiUN: A Multilingual Corpus from United Nation Documents
in: Daniel Tapias, Mike Rosner, Stelios Piperidis, Jan Odjik, Joseph Mariani, Bente Maegaard, Khalid Choukri, Nicoletta Calzolari (Conference Chair) (eds.):
2 Proceedings of the Seventh conference on International Language Resources and Evaluation, Pages 2868-2872, La Valletta, Malta, European Language Resources Association (ELRA), 5/2010
 
This paper describes the acquisition, preparation and properties of a corpus extracted from the official documents of the United Nations (UN). This corpus is available in all 6 official languages of the UN, consisting of around 300 million words per language. We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.
 
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