Evidence-Based Word Alignment
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 (Refereed)
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.
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject Computational Linguistics
IdentifiersURN: urn:nbn:se:uu:diva-112297ISBN: 978-954-452-010-6OAI: oai:DiVA.org:uu-112297DiVA: diva2:285827