Towards a Principled Computational System of Syntactic Ambiguity Detection and Representation

Hilton Alers-Valentín, Carlos Rivera-Velázquez, J. Vega-Riveros, Nayda Santiago

2019

Abstract

This paper presents the current status of a research project in computational linguistics/natural language processing whose main objective is to develop a symbolic, principle-based, bottom-up system in order to process and parse sequences of lexical items as declarative sentences in English. For each input sequence, the parser should produce (maximally) binary trees as generated by the Merge operation on lexical items. Due to parametric variations in the algorithm, the parser should be able to output (up to four) grammatically feasible structural representations accounted by alternative constituent analyses because of structural ambiguities in the parsing of the input string. Finally, the system should be able to state whether a particular string of lexical items is a possible sentence in account of its parsability. The system has a scalable software framework that may be suitable for the analysis of typologically-diverse natural languages.

Paper Citation

in Harvard Style

Alers-Valentín H., Rivera-Velázquez C., Vega-Riveros J. and Santiago N. (2019). Towards a Principled Computational System of Syntactic Ambiguity Detection and Representation.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: NLPinAI, ISBN 978-989-758-350-6, pages 980-987. DOI: 10.5220/0007698709800987

in Bibtex Style

@conference{nlpinai19,
author={Hilton Alers-Valentín and Carlos Rivera-Velázquez and J. Vega-Riveros and Nayda Santiago},
title={Towards a Principled Computational System of Syntactic Ambiguity Detection and Representation},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: NLPinAI,},
year={2019},
pages={980-987},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007698709800987},
isbn={978-989-758-350-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: NLPinAI,
TI - Towards a Principled Computational System of Syntactic Ambiguity Detection and Representation
SN - 978-989-758-350-6
AU - Alers-Valentín H.
AU - Rivera-Velázquez C.
AU - Vega-Riveros J.
AU - Santiago N.
PY - 2019
SP - 980
EP - 987
DO - 10.5220/0007698709800987