| Titre : | Genetic approach for Arabic language part of speech tagging |
| Auteurs : | Yasser Khelifi, Auteur ; Abdelkader Si ahmed, Auteur ; Mohamed Salem, Directeur de thèse |
| Type de document : | texte manuscrit |
| Editeur : | Université mustapha stambouli de Mascara:Faculté des sciences exactes, 2019 |
| ISBN/ISSN/EAN : | SE00689T |
| Format : | 94P. / couv. / 27 cm. |
| Accompagnement : | disque optique numérique (CD-ROM) |
| Langues: | Français |
| Résumé : |
The paper sheet that we both worked on covered one of the most important tasks of the natural language processing which is the Part of speech tagging for the Arabic language, the correct tags the tagger achieves the better results we get when it comes to automating the Arabic language, most of the Arab researchers avoid this field of study despite of the fact that they are native speakers and despite the large community of Arabs (over 400 millions) in the world which is a bit frustrating, that was the motivation that encouraged both of us to go deeper and construct something that has never been done before or published widely which is a tagger for the Arabic language that uses the genetic algorithm as an approach. Before we started our paper sheet we were both aiming to implement a tagger that has an accuracy close to 70% not because we weren’t able to achieve better results, it’s due to the fact that the genetic algorithms didn’t achieve better accuracy in other language and because we were not accustomed on them. The results achieved at the end of our study were quite surprising, in most cases our tagger achieved an accuracy over 80% if using the correct parameters introduced in the last chapter. We finally hope that future researches will be done to construct a hybrid tagger which exploits the benefits of the genetic approach which is mainly the customization when it comes to the entries and why not using the benefits of another approach which would be the speed of processing |
Exemplaires (2)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| SE00689T | INF220 | Livre audio | Bibliothèque des Sciences Exactes | 7-Mémoires Master | Libre accès Disponible |
| SE00918T | INF220 | Livre audio | Bibliothèque des Sciences Exactes | 7-Mémoires Master | Libre accès Disponible |
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