articleMay 1, 2016GOLD OA

OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles

PLPierre LisonJTJörg Tiedemann

University of Oslo · University of Helsinki

Indexed incrossref

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.

Citation impact

685
total citations
FWCI
92.32
Percentile
100%
References
9
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Subtitle
  • Computer science
  • Preprocessor
  • Natural language processing
  • Data pre-processing
  • Information retrieval
  • Artificial intelligence
  • Speech recognition
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