An Arabic Probabilistic Parser Based on a Property Grammar-Reference-Cited by-同舟云学术

An Arabic Probabilistic Parser Based on a Property Grammar

Published:2023-10-13 Issue:10 Volume:22 Page:1-25
ISSN:2375-4699
Container-title:ACM Transactions on Asian and Low-Resource Language Information Processing
language:en
Short-container-title:ACM Trans. Asian Low-Resour. Lang. Inf. Process.

Author:

Bensalem Raja¹^ORCID,Haddar Kais²^ORCID,Blache Philippe³^ORCID

Affiliation:

1. Faculty of Economic Sciences and Management of Sfax, Computer Sciences Department, University of Sfax, Tunisia

2. Faculty of Sciences of Sfax, Computer Sciences Department, Tunisia

3. Laboratoire Parole et Langage (LPL), Aix en Provence, Provence-Alpes-Côte d'Azur, France

Abstract

The specificities of Arabic parsing, such as agglutination, vocalization, and the relatively order-free words in Arabic sentences, remain major issues to consider. To promote its robustness, such parseing should define different types of constraints. Property Grammar (PG) formalism verifies the satisfiability of the constraints directly on the units of the structure, thanks to its properties (or relations). In this context, we propose to build a probabilistic parser with syntactic properties, using a PG, and we measure the production rules in terms of different implicit information and in particular the syntactic properties. We experimented with our parser on the treebank ATB, using the parsing algorithm CYK, and we obtained encouraging results. Our method is also automatic for implementation of most property types. Its generalization for other languages or corpus domains (using treebanks) could be a good perspective. Its combination with pre-trained models of BERT may also make our parser faster.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3612921

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