Word association norms, mutual information, and lexicography
Computational Linguistics
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Combining association measures for collocation extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Unsupervised type and token identification of idiomatic expressions
Computational Linguistics
Distinguishing subtypes of multiword expressions using linguistically-motivated statistical measures
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
An extensive empirical study of collocation extraction methods
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Using small random samples for the manual evaluation of statistical association measures
Computer Speech and Language
The design, implementation, and use of the Ngram statistics package
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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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Taking as a starting-point the development on cooccurrence techniques for several languages, we focus on the aspects that should be considered in a NV extraction task for Basque. In Basque, NV expressions are considered those combinations in which a noun, inflected or not, is co-occurring with a verb, as erabakia hartu ('to make a decision'), kontuan hartu ('to take into account') and buruz jakin ('to know by heart'). A basic extraction system has been developed and evaluated against two references: a) a reference which includes NV entries from several lexicographic works; and b) a manual evaluation by three experts of a random sample from the n-best lists.