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A Discriminative Approach to Tree Alignment
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Faculteit der Letteren, Rijksuniversiteit Groningen. (Informatiekunde)
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, 33-39 p.Conference paper (Refereed)
Abstract [en]

In this paper we propose a discriminative framework for automatic tree alignment. We use a rich feature set and a log-linear model trained on small amounts of hand-aligned training data. We include contextual features and link dependencies to improve the results even further. We achieve an overall F-score of almost 80% which is significantly better than other scores reported for this task.

Place, publisher, year, edition, pages
2009. 33-39 p.
Keyword [en]
tree alignment, parallel corpora, machine translation
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
URN: urn:nbn:se:uu:diva-112296OAI: oai:DiVA.org:uu-112296DiVA: diva2:285821
Available from: 2010-01-13 Created: 2010-01-12 Last updated: 2010-12-07Bibliographically approved

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