Foundations of statistical natural language processing
Foundations of statistical natural language processing
Formal Methods of Tokenization for Part-of-Speech Tagging
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Using Electronic Texts for an Annotated Corpus Building
ENC '03 Proceedings of the 4th Mexican International Conference on Computer Science
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Methods for the qualitative evaluation of lexical association measures
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
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
Web-based model for disambiguation of prepositional phrase usage
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
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The objective of this work is to automatically determine, in an unsupervised manner, Spanish prepositional phrases of the type preposition – nominal phrase – preposition (P(NP(P) that behave in a sentence as a lexical unit and their semantic and syntactic properties cannot be deduced from the corresponding properties of each simple form, e.g., por medio de (by means of), a fin de (in order to), con respecto a (with respect to). We show that idiomatic P(NP(P combinations have some statistical properties distinct from those of usual idiomatic collocations. We also explore a way to differentiate P(NP(P combinations that could perform either as a regular prepositional phrase or as idiomatic prepositional phrase.