The vector representations of words are very useful in different natural language processing
tasks in order to capture the semantic meaning of words. In this context, the three known …

This survey investigates several research studies that have been conducted in the field of
Arabic text summarization. Specifically, it addresses summarization and evaluation methods …

In this paper, we study the problem of detecting sentence boundary in transcribed spoken
Tunisian Arabic. We compare and contrast three different methods for detecting sentence …

Automatic text summarization is a field situated at the intersection of natural language
processing and information retrieval. Its main objective is to automatically produce a …

Abstract Latent Semantic Analysis (LSA) is an efficient statistical technique for extracting
semantic knowledge from large corpora. One of the major problems of this technique is the …

Purpose Topic segmentation is one of the active research fields in natural language
processing. Also, many topic segmenters have been proposed. However, the current …

Abstract Information research within a scientific text needs to deal with the problem of
automatic document partition on subtopics by taking text specifics and user purposes into …

Topic Segmentation is one of the pillars of Natural Language Processing. Yet there is a
remarkable research gap in this field, as far as the Arabic language is concerned. The …

Аннотация В статье рассматривается специфика применения алгоритмов
тематической сегментации к реальным научным текстам. В качестве …

The contribution of this work relates to the field of Arabic text-based document analysis for
the detection of plagiarism. This analysis will be carried out according to the triadic …