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Sentence Compression For Automatic Subtitling

Juhani Luotolahti
Department of Information Technology, University of Turku, Finland

Filip Ginter
Department of Information Technology, University of Turku, Finland

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Ingår i: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Linköping Electronic Conference Proceedings 109:18, s. 135-143

NEALT Proceedings Series 23:18, p. 135-143

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Publicerad: 2015-05-06

ISBN: 978-91-7519-098-3

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

Abstract

This paper investigates sentence compression for automatic subtitle generation using supervised machine learning. We present a method for sentence compression as well as discuss generation of training data from compressed Finnish sentences, and different approaches to the problem. The method we present outperforms state-of-the-art baseline in both automatic and human evaluation. On real data, 44.9% of the sentences produced by the compression algorithm have been judged to be useable as-is or after minor edits.

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