Arabic Text Classification Framework Based on Latent Dirichlet Allocation Page 1 Journal of
Computing and Information Technology - CIT 20, 2012, 2, 125–140 doi:10.2498/cit.1001770 …

Automatic speaker naming in TV programs consists of identifying each speaking person by
their real identity. This is a challenging task in the absence of a priori knowledge. It needs an …

Abstract Arabic Named Entity Recognition (ANER) is a crucial task in natural language
processing that aims to identify and classify named entities in text into predefined categories …

In this paper, the authors present latent topic model to index and represent the Arabic text
documents reflecting more semantics. Text representation in a language with high …

Arabic is known for its sparseness, which explains the difficulty of its automatic processing.
The Arabic language is based on schemes; lemmas are produced using derivation based …

In this paper we have presented a brief current state of the Art for Arabic text representation
and classification methods. First we describe some algorithms applied to classification on …

The Covid-19 pandemic has catalyzed a marked upsurge in multilingual social media
communication, distinctly marked by the fusion of dialectical Arabic with code-switched Latin …

We propose in this work a novel acoustic phonetic study for Arabic people suffering from
language disabilities and non-native learners of Arabic language to classify Arabic …

We propose a new approach for determining the adequate sense of Arabic words. For that,
we propose an algorithm based on information retrieval measures to identify the context of …

There are different methods for vocal pathology detection. These methods usually have
three steps which are feature extraction, feature reduction and speech classification. The first …