It is very current in today life to seek for tracking the people opinion from their interaction with
occurring events. A very common way to do that is comments in articles published in …

This paper addresses the development of an Automatic Speech Recognition (ASR) system
for the Moroccan Dialect. Dialectal Arabic (DA) refers to the day-to-day vernaculars spoken …

Diglossia is one of the main characteristics of Arabic language. In Arab countries, there are
three forms of Arabic that co-exist: Classical Arabic (CA) which is mainly used in the Quran …

The ability to recognize and translate human speech has grown in importance. By
completing this task, obstacles are removed and smooth communication between people …

Algeria's socio-linguistic situation is known as a complex phenomenon involving several
historical, cultural and technological factors. However, there are three languages that are …

Abstract Named Entity Recognition (NER) is a natural language processing (NLP) task that
involves assigning labels like Person, Location, and Organization to words in text. While …

The success of machine learning for automatic speech processing has raised the need for
large scale datasets. However, collecting such data is often a challenging task as it implies …

Embeddings are very popular representations that allow computing semantic and syntactic
similarities between linguistic units from text co-occurrence matrix. Units can vary from …

The Arabic language is the official language of multiple countries pertaining to the Asian and
African continents. It is used in all aspects of written and spoken communication such as …

Arabic dialects are the history and civilization of Arab societies and distinguish people and
cities from each other in cultures, traditions, and customs. Social media networks provide …