Summary of the paper
| Title | HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation |
|---|---|
| Authors | Ondrej Bojar, Vojtěch Diatka, Pavel Rychlý, Pavel Stranak, Vit Suchomel, Aleš Tamchyna and Daniel Zeman |
| Abstract | 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. |
| Topics | Machine Translation, SpeechToSpeech Translation, Metadata |
Full paper  |
HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation |
| Bibtex | @InProceedings{BOJAR14.835, author = {Ondrej Bojar and Vojtěch Diatka and Pavel Rychlý and Pavel Stranak and Vit Suchomel and Aleš Tamchyna and Daniel Zeman}, title = {HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |