Integrating Prepositions in Wordnets: Relations, Glosses and Visual Description

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Abstract

Lexicology and lexicon models are necessarily concerned with content words, being grammatical and functional categories often set aside. Currently, however, lexicographers work for real needs and, in a NLP perspective, the nature of computational lexicons reflects a necessary match between what we know about the mental lexicon and what we need to encode about the set of words of a given language. Prepositions, in many languages, combine these two prototypes of words – lexical and functional –, as they can have full meaning or serve solely as structural aids. Based on the analysis of Portuguese prepositions related to the expression of movement, this paper describes how the integration of prepositions in wordnets is possible and quite easy, requiring mainly the linguistic adaptation of the tests and conditions that mediate the establishment of the relations of synonymy, antonymy, hyperonymy and cause. In what concerns lexicographic strategies, the integration of prepositions shows the difficulty of establishing equivalences between the concepts denoted by prepositions in different languages, as well as the difficulty of using glosses in natural language to describe their meaning. The use of visual information may obviate this issue, while posing issues on implementation.
Original languageEnglish
Title of host publicationProceedings of the LREC 2018 Workshop “Globalex 2018 – Lexicography & WordNets”
EditorsIlan Kernerman, Simon Krek
Place of PublicationParis
PublisherEuropean Language Resources Association (ELRA)
Pages67-75
Number of pages9
ISBN (Electronic)979-10-95546-28-3
Publication statusPublished - 2018
EventLREC - Language Resources and Evaluation Conference - Miyazaki, Japan
Duration: 7 May 201812 May 2018
Conference number: 11
http://lrec2018.lrec-conf.org/en/

Conference

ConferenceLREC - Language Resources and Evaluation Conference
Abbreviated titleLREC 2018
CountryJapan
CityMiyazaki
Period7/05/1812/05/18
Internet address

Keywords

  • Prepositions
  • Wordnets
  • Visual information

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