Using Linguistic Annotations in Statistical Machine Translation of Film Subtitles
- ,
- Martin Volk
- Fondazione Bruno Kessler,
- University of Zurich
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 13/05/2009
Publication status
Published - 13/05/2009
Publication IDs
- ORCID: /0000-0002-6103-7275/work/106363221
- Scopus: 84888001838
Host publication title
Proceedings of the 17th Nordic Conference of Computational Linguistics (NODALIDA 2009)Abstract
Statistical Machine Translation (SMT) has been successfully employed to support translation of film subtitles. We explore the integration of Constraint Grammar corpus annotations into a Swedish–Danish subtitle SMT system in the framework of factored SMT. While the usefulness of the annotations is limited with large amounts of parallel data, we show that linguistic annotations can increase the gains in translation quality when monolingual data in the target language is added to an SMT system based on a small parallel corpus.
Publication metrics
PlumX
Citations
8
Captures
80
Access to documents
Final published version
