Article | Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden | The Effect of Translationese on Tuning for Statistical Machine Translation
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Title:
The Effect of Translationese on Tuning for Statistical Machine Translation
Author:
Sara Stymne: Department of Linguistics and Philology, Uppsala University, Sweden
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Issue:
131
Article no.:
030
Pages:
241-246
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2017-05-08
ISBN:
978-91-7685-601-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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We explore how the translation direction in the tuning set used for statistical machine translation affects the translation results. We explore this issue for three language pairs. While the results on different metrics are somewhat conflicting, using tuning data translated in the same direction as the translation systems tends to give the best length ratio and Meteor scores for all language pairs. This tendency is confirmed in a small human evaluation.

Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Sara Stymne
Title:
The Effect of Translationese on Tuning for Statistical Machine Translation
References:

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Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Sara Stymne
Title:
The Effect of Translationese on Tuning for Statistical Machine Translation
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Last updated: 2017-02-21