Author:
El Ouahabi Safâa,El Ouahabi Sara,Atounti Mohamed,Seddik Issam,El Wardani Dadi
Abstract
Dialectal resources can provide valuable information for scientific research in many domains. They can play an important role in scientific research, especially in the fields of linguistics, sociology, anthropology, psychology, digital transformation, and artificial intelligence. NLP can also play an important role in decision-making by enabling the analysis of large volumes of textual data to extract relevant information. Data relevance is a key factor in decision-making, and companies wishing to join the trend must have all NLP resources at their disposal. In this paper, we will present the different resources and systems developed for Data Engineering and Intelligent Systems for Moroccan dialects.
Reference13 articles.
1. Ouahabi S. E., Atounti M. and Bellouki M., “A database for Amazigh speech recognition research: AMZSRD,” 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech), Rabat, Morocco, 2017, pp. 15, doi: 10.1109/CloudTech.2017.8284715.
2. El Ouahabi S., Atounti M. and Bellouki M. (2016), “Building HMM Independent Isolated Speech Recognizer System for amazigh Language,” Europe and MENA Cooperation Advances in Information and Communication Technologies, 2016, pp. Europe and MENA Cooperation Advances in Information and Communication Technologies Volume 520 of the series Advances in Intelligent Systems and Computing pp 299-307. doi: 10.1007/978-3-319-46568-5_31. Isbn :978-3-319-465685. url :http://dx.doi.org/10.1007/978-3-319-46568-5_31.
3. El Ouahabi S., Atounti M. and Bellouki M. (2016), “amazigh Isolated-Word speech recognition system using Hidden Markov Model toolkit (HTK),” 2016 International Conference on Information Technology for Organizations Development (IT4OD), Fez, 2016, pp. 1-7. doi: 10.1109/IT4OD.2016.7479305
4. El Ouahabi S., Atounti M. and Bellouki M. (2016), “Automatic amazigh Recognition System : An Approach using HMM” 2016, Ecole de recherché CIMPA & Workshop sous le thème : Modélisation, analyses mathématique et numérique pour les problèmes aux dérivés partielles du 09 au 19 mai 2016 à la Faculté pluridisciplinaire de Nador.