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Statistical Machine Translation of Subtitles: From OpenSubtitles to TED

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8105)

Abstract

In this paper, we describe how the differences between subtitle corpora, OpenSubtitles and TED, influence machine translation quality. In particular, we investigate whether statistical machine translation systems built on their basis can be used interchangeably. Our results show that OpenSubtiles and TED contain very different kinds of subtitles that warrant a subclassification of the genre. In addition, we have taken a closer look at the translation of questions as a sentence type with special word order. Interestingly, we found the BLEU scores for questions to be higher than for random sentences.

Keywords

  • Machine Translation
  • Statistical Machine Translation
  • Sentence Pair
  • Parallel Corpus
  • Language Pair

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Müller, M., Volk, M. (2013). Statistical Machine Translation of Subtitles: From OpenSubtitles to TED. In: Gurevych, I., Biemann, C., Zesch, T. (eds) Language Processing and Knowledge in the Web. Lecture Notes in Computer Science(), vol 8105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40722-2_14

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  • DOI: https://doi.org/10.1007/978-3-642-40722-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40721-5

  • Online ISBN: 978-3-642-40722-2

  • eBook Packages: Computer ScienceComputer Science (R0)