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Evidence-Based Word Alignment
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
2009 (English)In: Proceedings of the International Workshop on Natural Language Processing Methods and Corpora in Translation, Lexicography and Language Learning (in connection with RANLP’09), 2009, 28-32 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we describe word alignment experiments using an approach based on a disjunctive combination of alignment evidence. A wide range of statistical, orthographic and positional clues can be combined in this way. Their weights can easily be learned from small amounts of hand-aligned training data. We can show that this “evidence-based” approach can be used to improve the baseline of statistical alignment and also outperforms a discriminative approach based on a maximum entropy classifier.

Place, publisher, year, edition, pages
2009. 28-32 p.
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-112297ISBN: 978-954-452-010-6 (print)OAI: oai:DiVA.org:uu-112297DiVA: diva2:285827
Available from: 2010-01-13 Created: 2010-01-12 Last updated: 2010-12-07Bibliographically approved

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CiteExportLink to record
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