Multiword Expressions: A Pain in the Neck for NLP
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Statistical measures of the semi-productivity of light verb constructions
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
NP-external arguments a study of argument sharing in English
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
Distinguishing subtypes of multiword expressions using linguistically-motivated statistical measures
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Design and implementation of a lexicon of Dutch multiword expressions
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Hunmorph: open source word analysis
Software '05 Proceedings of the Workshop on Software
Verb noun construction MWE token supervised classification
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
Exploiting translational correspondences for pattern-independent MWE identification
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Learning to detect english and hungarian light verb constructions
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 1
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The precise identification of light verb constructions is crucial for the successful functioning of several NLP applications. In order to facilitate the development of an algorithm that is capable of recognizing them, a manually annotated corpus of light verb constructions has been built for Hungarian. Basic annotation guidelines and statistical data on the corpus are also presented in the paper. It is also shown how applications in the fields of machine translation and information extraction can make use of such a corpus and an algorithm.