Bibliographie complète
OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles
Type de ressource
Conference Paper
Auteurs/contributeurs
- Lison, Pierre (Author)
- Tiedemann, Jörg (Author)
- Calzolari, Nicoletta (Editor)
- Choukri, Khalid (Editor)
- Declerck, Thierry (Editor)
- Goggi, Sara (Editor)
- Grobelnik, Marko (Editor)
- Maegaard, Bente (Editor)
- Mariani, Joseph (Editor)
- Mazo, Helene (Editor)
- Moreno, Asuncion (Editor)
- Odijk, Jan (Editor)
- Piperidis, Stelios (Editor)
Title
OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles
Abstract
We present a new major release of the OpenSubtitles collection of parallel corpora. The release is compiled from a large database of movie and TV subtitles and includes a total of 1689 bitexts spanning 2.6 billion sentences across 60 languages. The release also incorporates a number of enhancements in the preprocessing and alignment of the subtitles, such as the automatic correction of OCR errors and the use of meta-data to estimate the quality of each subtitle and score subtitle pairs.
Proceedings Title
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Publisher
European Language Resources Association (ELRA)
Place
Portorož, Slovenia
Date
2016-05
Pages
923–929
Citation Key
lisonOpenSubtitles2016ExtractingLarge2016
Référence
Lison, P., & Tiedemann, J. (2016). OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In N. Calzolari, K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16) (pp. 923–929). European Language Resources Association (ELRA). https://aclanthology.org/L16-1147
Langue
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