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Combining Different Translation Sources

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Natural Language Processing — NLP 2000 (NLP 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1835))

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Abstract

Within the machine translation project Verbmobil, translation is performed simultaneously along four independent translation paths, each implementing a different MT strategy. The four competing translations are combined by a selection procedure so as to form a single optimized output for each input utterance. This selection procedure relies on confidence values that are delivered together with each of the alternative translations. Since the confidence values are computed by four independent modules that are fundamentally different from one another, they are not directly comparable and need to be rescaled in order to gain comparative significance. In this paper we describe a machine learning method tailored to overcome this difficulty by using off line human feedback to determine an optimized confidence rescaling scheme.

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Author information

Authors and Affiliations

  1. Fachbereich Informatik, Technische Universität Berlin, Franklinstr. 28/29, D-10587, Berlin, Germany

    Uwe Küssner & Dan Tidhar

Authors
  1. Uwe Küssner
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  2. Dan Tidhar
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Editor information

Editors and Affiliations

  1. Computer Engineering Department and Computer Technology Institute, University of Patras, 26500, Patras, Greece

    Dimitris N. Christodoulakis

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© 2000 Springer-Verlag Berlin Heidelberg

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Küssner, U., Tidhar, D. (2000). Combining Different Translation Sources. In: Christodoulakis, D.N. (eds) Natural Language Processing — NLP 2000. NLP 2000. Lecture Notes in Computer Science(), vol 1835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45154-4_25

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  • DOI: https://doi.org/10.1007/3-540-45154-4_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67605-8

  • Online ISBN: 978-3-540-45154-9

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