Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Multiword Expressions: A Pain in the Neck for NLP
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
A systematic comparison of various statistical alignment models
Computational Linguistics
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A hierarchical phrase-based model for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Improving statistical machine translation using domain bilingual multiword expressions
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
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Multiword Expressions present idiosyncratic features in the application of Natural Language Processing. This paper focuses on Multiword Expressions extraction from bilingual corpus with alignment information constructed by Statistical Machine Translation (SMT) and word alignment method. A pattern based extraction system and an Artificial Neural Network (ANN) with feedback are applied for extracting MWEs. The results show that both of these approaches can achieve satisfying performance.