International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume3,February 2018,

Topic : Text analytics on different corpus data for Multilingual System

Authors:Arjumand Masood Khan || Dr. Rahat Afreen, Dr. Meghana Nagori

Abstract:Natural language processing (or Computational linguistic) is becoming the need of today’s world. The field of Text Analytics, comprising of Natural Language Processing unite as a whole with Machine Learning and Data Mining. They have also evolved the years to keep pace with the rapid increase of novel sources of corpus data. The main challenges face nowadays is analysis from the text in a multilingual setting e.g. (English Arabic) or (English Urdu). Natural language processing and Text Analytics methods are increasingly being adopted, developed and distributed for addressing wide ways of real-life, industrial problems, teaching-learning process globally. Arabic is one of the major language spoken and used by many people of Gulf countries and United Nations. More than 330 million in more than 22 countries people’s mother tongue is Arabic/Urdu. Arabic is also one of the languages of Holy Quran.

Keywords: Natural language processing, Text Analytics, Arabic NLP, Urdu NLP, NLTK, corpus

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DOI: 01.1617/vol5/iss2/pid21347


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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJSEM
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