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Statistical Machine Translation with Readability Constraints

Sara Stymne
Uppsala University, Department of Linguistics and Philology, Uppsala, Sweden

Jörg Tiedemann
Uppsala University, Department of Linguistics and Philology, Uppsala, Sweden

Christian Hardmeier
Uppsala University, Department of Linguistics and Philology, Uppsala, Sweden

Joakim Nivre
Uppsala University, Department of Linguistics and Philology, Uppsala, Sweden

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Ingår i: Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Linköping Electronic Conference Proceedings 85:34, s. 375-386

NEALT Proceedings Series 16:34, s. 375-386

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Publicerad: 2013-05-17

ISBN: 978-91-7519-589-6

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper presents experiments with document-level machine translation with readability constraints. We describe the task of producing simplified translations from a given source with the aim to optimize machine translation for specific target users such as language learners. In our approach; we introduce global features that are known to affect readability into a documentlevel SMT decoding framework. We show that the decoder is capable of incorporating those features and that we can influence the readability of the output as measured by common metrics. This study presents the first attempt of jointly performing machine translation and text simplification; which is demonstrated through the case of translating parliamentary texts from English to Swedish.

Nyckelord

Machine Translation; Text Simplification; Readability

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