Proceedings of the Workshop on Annotation and
Exploitation of Parallel Corpora AEPC 2010.
Editors: Lars Ahrenberg, Jörg Tiedemann and Martin Volk.
NEALT Proceedings Series, Vol. 10 (2010), 73-82.
© 2010 The editors and contributors.
Published by
Northern European Association for Language
Technology (NEALT)
http://omilia.uio.no/nealt .
Electronically published at
Tartu University Library (Estonia)
http://hdl.handle.net/10062/15893 

Vanallemeersch, Tom

English

Translation divergences are a challenge for MT and alignment. In this paper, we investigate whether an alignment method based on semantic knowledge improves over approaches for linguistically uninformed word alignment and purely syntax-based tree alignment. We annotate sentences with rolesets from PropBank and NomBank (verbal and nominal predicates and their semantic roles), and link predicates to their auxiliary words (auxiliary, modal and support verbs) using parse trees. We study two language pairs, English-French and English-Dutch. As no extensive semantic resource is available for French and Dutch, the annotation strategy we choose is crosslingual semantic annotation projection, combined with automatic SRL. A manual evaluation of our system on an English-Dutch sample shows our system is successful at adding links for predicates to the output of a word alignment system (GIZA++) and two tree alignment systems (Lingua-Align and Sub-Tree Aligner). The performance for role linking is significantly lower, due to
errors in the English or target parses.status: publishe

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Tree Alignment through Semantic Role Annotation Projection

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Tree Alignment through Semantic Role Annotation Projection

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