HAD, a platform to create a historical dictionary

This paper will help the linguists find an easy method to facilitate the creation of a standard Arabic historical dictionary in order to save time and to be up to date with the other languages. In this method, we propose a platform of Automatic Natural Language Processing (ANLP) tools which permits the automatic indexing and research from Arabic texts corpus. Some pretreatments are done before the indexation process: segmentation, normalization, and filtering, morphological analysis. The prototype that we've developed for the generation of standard Arabic historical dictionary permits to extract contexts from the entered corpus and to assign meaning from the user. The evaluation of our system shows that the results are reliable.