Characteristics of most frequent spanish verb-noun combinations

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Resumen

We study most frequent Spanish verb-noun combinations retrieved from the Spanish Web Corpus. We present the statistics of these combinations and analyze the degree of cohesiveness of their components. For the verb-noun combinations which turned out to be collocations, we determined their semantics in the form of lexical functions. We also observed what word senses are most typical for polysemous words in the verb-noun combinations under study and determined the level of generalization which characterizes the semantics of words in the combinations, that is, at what level of the hyperonymy-hyponymy tree they are located. The data collected by us can be used in various applications of natural language processing, especially, in predictive models in which most frequent cases are taken into account.

Idioma originalInglés
Título de la publicación alojadaAdvances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings
EditoresOscar Herrera-Alcantara, Grigori Sidorov
EditorialSpringer Verlag
Páginas27-40
Número de páginas14
ISBN (versión impresa)9783319624334
DOI
EstadoPublicada - 2017
Evento15th Mexican International Conference on Artificial Intelligence, MICAI 2016 - Cancun, México
Duración: 23 oct. 201628 oct. 2016

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10061 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia15th Mexican International Conference on Artificial Intelligence, MICAI 2016
País/TerritorioMéxico
CiudadCancun
Período23/10/1628/10/16

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