CLNov 10, 2019

Un systeme de lemmatisation pour les applications de TALN

arXiv:1911.03922v21 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a domain-specific challenge in natural language processing for Arabic language applications, representing an incremental improvement.

The paper tackles the problem of stemming for Arabic texts by introducing a method based on linguistic techniques and the concept of 'scheme' in Arabic morphology, resulting in a system that avoids using an inflection dictionary through dynamic word recognition.

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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