Characteristics of most frequent spanish verb-noun combinations

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Soft Computing - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings
EditorsOscar Herrera-Alcantara, Grigori Sidorov
PublisherSpringer Verlag
Pages27-40
Number of pages14
ISBN (Print)9783319624334
DOIs
StatePublished - 2017
Event15th Mexican International Conference on Artificial Intelligence, MICAI 2016 - Cancun, Mexico
Duration: 23 Oct 201628 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10061 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Mexican International Conference on Artificial Intelligence, MICAI 2016
Country/TerritoryMexico
CityCancun
Period23/10/1628/10/16

Keywords

  • Collocations
  • Frequency
  • Hyperonymy
  • Lexical functions
  • Verb-noun combinations

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