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Article Dans Une Revue Indonesian Journal of Electrical Engineering and Computer Science Année : 2024

Lexicon-grammar tables standardization and implementation

Asmaa Kourtin
Asmaa Amzali
Mohammed Mourchid
Abdelaziz Mouloudi
Samir Mbarki

Résumé

Lexicon-Grammar is an important linguistic approach in automatic natural language processing (NLP). It allows for the description of the lexicon of the language through readable and intuitive tables for human manual editing. However, the automatic use of the lexicon-grammar tables in the automatic NLP platforms remains difficult, given the incompatibility between the codes used to represent the properties in the lexicon-grammar tables and those used to represent the properties in the automatic NLP platforms. In this work, we present our method of standardizing the lexicon-grammar tables for the French language, since they constitute rich lexical, syntactic, and semantic linguistic resources. First, we standardize their properties so that they can be compatible with those used in the NLP platforms. Then, to implement the standardized tables, we used the NooJ linguistic platform. For that, we describe the process of integrating these tables into this platform through the automatic generation of the dictionaries from these tables. Finally, to test the efficiency of the generated dictionaries, we create for some of them syntactic grammars that take into account all the grammatical, syntactic, and semantic information contained in the dictionaries.

Dates et versions

hal-04418738 , version 1 (26-01-2024)

Licence

Paternité - Partage selon les Conditions Initiales

Identifiants

Citer

Asmaa Kourtin, Asmaa Amzali, Mohammed Mourchid, Abdelaziz Mouloudi, Samir Mbarki. Lexicon-grammar tables standardization and implementation. Indonesian Journal of Electrical Engineering and Computer Science, 2024, 33 (2), pp.1243-1251. ⟨10.11591/ijeecs.v33.i2.pp1243-1251⟩. ⟨hal-04418738⟩

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