Annotated Bangla News Corpus and Lexicon Development with POS Tagging and Stemming

Annotated Bangla News Corpus and Lexicon Development with POS Tagging and Stemming

Abdul Matin

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Tasnim Haider Chaudhury

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M.S. Hossain

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Asie Uzzaman

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Md. Masum

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Shahjalal University of Science and Technology

Annotated Bangla News Corpus and Lexicon Development with POS Tagging and Stemming

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Abstract

In this paper, we have developed a mono-linguistic Bengali news corpus using knowledge based AI (Artificial Intelligence) technique from some widely read Bengali newspapers which will be used as a reference corpus and will be very useful for lexicon development, morphological analysis, and automatic parts of speech detection. The corpus contains 74,698 word forms. The words in the lexicon are annotated with a combination of manual tags addressing Parts-of-Speech, Stemming, Morphemes, and other grammatical features are very important for almost all Natural Language Processing (NLP) applications. The lexicon contains around 14 thousand entries.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Abdul Matin. 2017. \u201cAnnotated Bangla News Corpus and Lexicon Development with POS Tagging and Stemming\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 17 (GJRE Volume 17 Issue J1).

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GJRE Volume 17 Issue J1

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-J Classification FOR Code: 200402

170203

Submission ReceivedDecember 15, 2016
Peer Review Double Blind
Handling Editor
Accepted January 2, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

May 18, 2017

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Article Matrices

Total Score: 105

Country: Bangladesh

Subject: Global Journal of Research in Engineering - J: General Engineering

Authors: Tasnim Haider Chaudhury, Abdul Matin, M.S. Hossain, Asie Uzzaman, Md. Masum (PhD/Dr. count: 0)

View Count (all-time): 236

Total Views (Real + Logic): 3608

Total Downloads (simulated): 1613

Publish Date: 2017 05, Thu

Monthly Totals (Real + Logic):

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Total Views: 3608

Total Downloads: 1613

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