Automatic speech recognition (ASR) is a crucial field of science due to its massive
applications that can be developed to help humans to improve their daily life tasks. Despite …

Automatic speech recognition is a research field for enabling computers to receive voice
feedback from humans and to translate it with the greatest probability of correctness. Speech …

With the increase of Arabic textual information via internet websites and services, a tools for
processing Arabic text information are needed to extract knowledge from them. Name Entity …

Abstract Actually, the Named Entity Recognition (NER) task is a very innovative research
line involving the process of unstructured or semi-structured textual resources to identify the …

The tas6 of transliteration of named entities from one lanY guage into another is complicated
and considered as one of the challenging tas6s in machine translation (MT). To build a well …

There are limited research contributions targeting sentiment analysis in feedback in Arabic
gulf dialect, in particular, and the Arabic language in general. Furthermore, the inadequate …

Over the last two decades, many efforts have been made to provide resources to support the
Arabic Natural Language Processing (NLP). Some of these resources target specific NLP …

A key element of many Natural Language Processing (NLP) applications is Named Entity
Recognition (NER). It involves categorizing and identifying text into separate categories …

The research studied college students who are potential telemedicine users but have been
relatively under-researched. Considering the characteristics of telemedicine technology and …

A great deal of research has been done to find out an accurate algorithm for name matching
that would play major role in the application process. Researchers have developed several …