Verb and context of usage: A corpus-based analysis with quantitative and qualitative methods

Authors

  • Irene Renau Pontificia Universidad Católica de Valparaíso
  • Rogelio Nazar Pontificia Universidad Católica de Valparaíso
  • Ana Castro Pontificia Universidad Católica de Valparaíso
  • Benjamín López Pontificia Universidad Católica de Valparaíso
  • Javier Obreque Pontificia Universidad Católica de Valparaíso

Keywords:

Corpus Pattern Analysis, computational lexicography, corpus statistics, lexical pattern, verb

Abstract

The semantic analysis of verbs is a theoretical and methodological challenge due to the syntactic and semantic complexity of these lexical units. The aim of this research is to identify the lexical-syntactic structures, that is, the patterns formed considering the syntactic structure, the arguments and the semantic types of the Spanish verbs. The analysis of Spanish verbs is carried out following the proposal of Corpus Pattern Analysis (Hanks, 2004a). This analysis is complemented with the automation of the procedure, combining a dependency analyser with a series of algorithms based on corpus statistics. As a result of the process, a database of lexical-syntactic patterns of 182 manually annotated verbs is offered, as well as an interface for automatic analysis which, according to the evaluation carried out, shows a 63.41% accuracy with respect to manual identification. This would be a contribution both to the theory of lexical semantics and to the description of the Spanish lexicon from a corpus-based methodology.

Author Biography

Irene Renau, Pontificia Universidad Católica de Valparaíso

Profesora asociada de los Departamentos de Lingüística y Traducción

Downloads

Published

2019-12-05

How to Cite

Renau, I., Nazar, R., Castro, A., López, B., & Obreque, J. (2019). Verb and context of usage: A corpus-based analysis with quantitative and qualitative methods. Revista Signos. Estudios De Lingüística, 52(101). Retrieved from https://revistasignos.cl/index.php/signos/article/view/67

Issue

Vol. 52 No. 101 (2019): December

Section

Articles

License

Copyright agreement:

Authors who have a manuscript accepted for publication in this journal agree to the following terms:

  1. Authors will retain their copyright and grant the journal the right of first publication of their work by means of this copyright agreement document, which is subject to the Creative Commons Acknowledgment License that allows third parties to share the work provided that its author and first publication in this journal are indicated.

  2. Authors may adopt other non-exclusive license agreements for distribution of the published version of the work (e.g., depositing it in an institutional repository or publishing it in a monographic volume) as long as the initial publication in this journal is indicated.

  3. Authors are allowed and encouraged to disseminate their work via the internet (e.g., in institutional publications or on their website) before and during the submission process, which can lead to interesting exchanges and increase citations of the published work (read more here).