A Discriminative Approach to Tree 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, 33-39 p.Conference paper (Refereed)
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.
tree alignment, parallel corpora, machine translation
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject Computational Linguistics
IdentifiersURN: urn:nbn:se:uu:diva-112296OAI: oai:DiVA.org:uu-112296DiVA: diva2:285821