Amazighe Named Entity Recognition using a A rule based approach

The Named Entity Recognition (NER) is very important task revolving around many natural language processing applications. However, many studies have achieved the maturity stage in a variety of languages such as English and French, but a few limited research efforts have attacked the named entity recognition problem in Amazighe script. This is due to the resources scarcity for Amazighe named entities and the limited work made in Amazighe natural language processing in general. In this paper, we describe our attempt at the development and implementation of a named entity recognition system for the Amazighe Language using a rule based approach. Our system has been effectively evaluated using our own corpus; it reached acceptable results in terms of precision, recall, and F-measure.