Self Syntactico-Semantic Enrichment of LMF Normalized Dictionaries

The main challenge of this paper is the syntactico-semantic enrichment of LMF normalized dictionaries. To meet this challenge, we propose an approach based on the content of these dictionaries, namely the “Context” fields and the syntactic and semantic knowledge. The proposed approach is composed of three phases. The first one deals with the data set concerning the syntactic arguments of the “Context” fields. The second consists in connect semantic arguments to the syntactic ones. The last phase links syntactic and semantic arguments. In order to evaluate the proposed approach, we have applied it to an available Arabic normalized dictionary. The results are encouraging with respect to the measurement evaluation.

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