Using a Natural Language Processing Tool to Assist the Collection of Samples for the Study of Syntactic-Semantic Properties of Verbs

Authors

  • Larissa Picoli Federal University of Espírito Santo image/svg+xml
  • Juliana Pirovani Federal University of Espírito Santo image/svg+xml
  • Elias Oliveira Federal University of Espírito Santo image/svg+xml
  • Éric Laporte Université Paris-Est

Keywords:

Processamento de Linguagem Natural, Recolha de Informação, Lista de verbos, Propriedades sintático-semânticas de verbos

Abstract

The analysis and description of syntactic-semantic properties of verbs are fundamental to both the knowledge of the grammar of a language and to the automatic processing of natural language, as an encoded form of this description can be exploited by automatic tools. This paper experiments with the use of Unitex, a natural language processing tool, to collect a list of verbs that can be analysed and described by a linguist. This work contributes significantly to linguistics, by decreasing the human manual effort in the search for verbs. A case study is performed to partially automate the collection of verbs in -ecer with adjectival bases in a corpus of 47 million words. The proposed approach is compared with manual collection and with extraction from an NLP dictionary.

Author Biography

  • Juliana Pirovani, Federal University of Espírito Santo

    Juliana Pinheiro Campos Pirovani é Professora Assistente do Departamento de Computação na Universidade Federal do Espírito Santo. Atua nas áreas de Teoria da Computação e Recuperação de Informação.

References

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Published

2015-12-30

Issue

Vol. 7 No. 2

Section

Research Articles

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How to Cite

Using a Natural Language Processing Tool to Assist the Collection of Samples for the Study of Syntactic-Semantic Properties of Verbs. (2015). Linguamática, 7(2), 35-44. https://linguamatica.com/index.php/linguamatica/article/view/V7N2.3