Abstract
Lexical analysis can be a way to remove ambiguities in the Arabic language. So, their resolution is an important task in several domains of Natural Language Processing (NLP). In this context, this paper is inscribed. Our proposed resolution method is based essentially on the use of transducers on text automata. Indeed, these transducers specify the lexical rules of the Arabic language allowing corpus disambiguation. In order to achieve our resolution method, different types of lexical ambiguities are identified and studied. Then, an appropriate set of rules is proposed. After that, we represent all specified rules in NooJ. In addition, we present experimentation with NooJ platform conducted through various linguistic resources to obtain disambiguated syntactic structures suitable for the analysis. The results obtained are ambitious and can be improved by adding other rules and heuristics.
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