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RNTI

MODULAD
L'apport d'une approche symbolique pour le repérage des entités nommées en langue amazighe
In EGC 2015, vol. RNTI-E-28, pp.29-34
Abstract
Amazighe Named Entity Recognition (NER) system is a potentially vital pretreatment for so many Natural Language preprocessing (NLP) applications, and more specifically: Machine Translation (MT). In this paper, we present an Amazighe named entity recognition system based on a synthetic study of the language-specificity and the amazighe named entities. The article focuses on the methodological choices to resolve ambiguities of this language, by exploiting existing ressources in a related languages.