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Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese

Authors Jorge Baptista , Nuno Mamede

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Author Details

Jorge Baptista
  • University of Algarve, Campus de Gambelas, Faro, Portugal
  • INESC-ID, Lisboa, Portugal
Nuno Mamede
  • Universidade de Lisboa, Instituto Superior Técnico, Portugal
  • INESC-ID, Lisboa, Portugal

Funding

This work was supported by national funds through FCT, Fundação para a Ciência e a Tecnologia, under project UIDB/50021/2020.

Acknowledgements

The authors would like to thank Sónia Reis (U.Algarve and INESC-ID Lisboa for her help in the linguistic data compilation and revision, as well as her attentive reading of initial versions of this manuscript. Naturally, any errors herein are our own responsibility alone.

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Jorge Baptista and Nuno Mamede. Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese. In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 11:1-11:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/OASIcs.SLATE.2020.11

Abstract

This paper reports on-going work on building a rule-based grammar for (European) Portuguese, incorporating support verb constructions (SVC). The paper focuses on parsing sentences resulting from syntactic transformations of SVC, and presents a methodology to automatically generate testing examples directly from the SVC Lexicon-Grammar matrix where their linguistic properties are represented. These examples allow both to improve the linguistic description of these constructions and to test intrinsically the system parser, spotting unforeseen issues due to previous natural language processing steps.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Natural language processing
  • Computing methodologies → Natural language generation
  • Computing methodologies → Language resources
Keywords
  • Support verb constructions
  • Rule-based parsing
  • syntactic transformations
  • language resources
  • European Portuguese

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