Translating collocations for bilingual lexicons: a statistical approach
Computational Linguistics
The automatic translation of idioms: machine translation vs. translation memory systems
Machine translation: theory, applications, and evaluations
Multiword Expressions: A Pain in the Neck for NLP
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Regular expressions for language engineering
Natural Language Engineering
Terminology finite-state preprocessing for computational LFG
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Beyond lexical units: enriching wordnets with phrasets
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Creating a multilingual collocation dictionary from large text corpora
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
An expert lexicon approach to identifying English phrasal verbs
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
An empirical model of multiword expression decomposability
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Integrating morphology with multi-word expression processing in Turkish
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
Semitic '07 Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources
Topic detection and multi-word terms extraction for arabic unvowelized documents
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Parsing models for identifying multiword expressions
Computational Linguistics
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Multiword expressions (MWEs) vary in syntactic category, structure, the degree of semantic opaqueness, the ability of one or more constituents to undergo inflection and processes such as passivization, and the possibility of having intervening elements. Therefore, there is no straight-forward way of dealing with them. This paper shows how MWEs can be dealt with at different levels of analysis starting with tokenization, and going through the stages of morphological analysis and syntactic parsing.