HindEnCorp – Hindi-English and Hindi-only Corpus for Machine Translation

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Authors	BOJAR Ondřej DIATKA Vojtěch RYCHLÝ Pavel STRAŇÁK Pavel SUCHOMEL Vít TAMCHYNA Aleš ZEMAN Daniel
Year of publication	2014
Type	Article in Proceedings
Conference	Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
MU Faculty or unit	Faculty of Informatics
Citation
Web	http://www.lrec-conf.org/proceedings/lrec2014/summaries/835.html
Field	Informatics
Keywords	Machine Translation; SpeechToSpeech Translation; Metadata
Description	We present HindEnCorp, a parallel corpus of Hindi and English, and HindMonoCorp, a monolingual corpus of Hindi in their release version 0.5. Both corpora were collected from web sources and preprocessed primarily for the training of statistical machine translation systems. HindEnCorp consists of 274k parallel sentences (3.9 million Hindi and 3.8 million English tokens). HindMonoCorp amounts to 787 million tokens in 44 million sentences. Both the corpora are freely available for non-commercial research and their preliminary release has been used by numerous participants of the WMT 2014 shared translation task.
Related projects:	Projekt LINDAT-Clarin - Vybudování a provoz českého uzlu pan-evropské infrastruktury pro výzkum