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

Varování

Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	BOJAR Ondřej DIATKA Vojtěch RYCHLÝ Pavel STRAŇÁK Pavel SUCHOMEL Vít TAMCHYNA Aleš ZEMAN Daniel
Rok publikování	2014
Druh	Článek ve sborníku
Konference	Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Fakulta / Pracoviště MU	Fakulta informatiky
Citace
www	http://www.lrec-conf.org/proceedings/lrec2014/summaries/835.html
Obor	Informatika
Klíčová slova	Machine Translation; SpeechToSpeech Translation; Metadata
Popis	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.
Související projekty:	Projekt LINDAT-Clarin - Vybudování a provoz českého uzlu pan-evropské infrastruktury pro výzkum