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.
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