1. SHENDI UNIVERSITY REPOSITORY
  2. Researches and Scientific Papers البحوث والأوراق العلمية
  3. Researches and Scientific Papers البحوث والأوراق العلمية
Please use this identifier to cite or link to this item: http://repository.ush.edu.sd:8080/xmlui/handle/123456789/483
Title: TIMELINE OF THE DEVELOPMENT OF ARABIC POS TAGGERS AND MORPHOLOGICALANALYSERS
Authors: Salim Elsheikh, Mohammad Elsheikh
Atwell, Eric Steven
Keywords: Part of Speech Tagging
morphological analysis
morphological
analysis
Modern
Standard
Modern Standard
Dialect
Classical Arabic
Arabic
Issue Date: 1-Oct-2018
Publisher: JOURNAL OF GLOBAL RESEARCH IN COMPUTER SCIENCE
Series/Report no.: Volume 9,;No. 10
Abstract: Over the past two decades, since around 2000, Arabic NLP researchers have investigated a variety of approaches to PoS-tagging and morphological analysis. In this paper, we present this research as a timeline or a list of events in chronological order, to illustrate the evolutionary development of the field.We present a timeline of 24 different approaches and tools for Arabic Part of Speech (POS) tagging and morphological analysis. Most of the work focuses on Modern Standard Arabic (MSA). A few systems aim at Dialect Arabic (DA); the Classical Arabic (CA) gets the least attention.
Description: Over the past two decades, since around 2000, Arabic NLP researchers have investigated a variety of approaches to PoS-tagging and morphological analysis. In this paper, we present this research as a timeline or a list of events in chronological order, to illustrate the evolutionary development of the field.We present a timeline of 24 different approaches and tools for Arabic Part of Speech (POS) tagging and morphological analysis. Most of the work focuses on Modern Standard Arabic (MSA). A few systems aim at Dialect Arabic (DA); the Classical Arabic (CA) gets the least attention.
URI: http://hdl.handle.net/123456789/483
ISSN: 2229-371X
Appears in Collections:Researches and Scientific Papers البحوث والأوراق العلمية

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