Un systeme de lemmatisation pour les applications de TALN
Sadik Bessou, Mohamed Louail, Allaoua Refoufi, Zehour Kadem, Mohamed, Touahria
TL;DR
This paper introduces a stemming method for Arabic texts utilizing linguistic schemes, enabling dynamic recognition of words without relying on inflection dictionaries, thus improving natural language processing applications.
Contribution
It proposes a novel Arabic stemming approach based on morphological schemes, avoiding the need for inflection dictionaries and enhancing NLP processing.
Findings
Effective dynamic recognition of Arabic words
No reliance on inflection dictionaries
Improved stemming accuracy
Abstract
This paper presents a method of stemming for the Arabian texts based on the linguistic techniques of the natural language processing. This method leans on the notion of scheme (one of the strong points of the morphology of the Arabian language). The advantage of this approach is that it doesn't use a dictionary of inflexions but a smart dynamic recognition of the different words of the language.
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Taxonomy
TopicsLanguage, Linguistics, Cultural Analysis · Natural Language Processing Techniques