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Open AccessArticle

Bangla DeConverter for Extraction of BanglaText from Universal Networking Language

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Department of Computer Science and Engineering, East West University, Dhaka 1212, Bangladesh
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School of Business and Tourism, Southern Cross University, Lismore, QLD 4225, Australia
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Author to whom correspondence should be addressed.
Information 2019, 10(10), 324; https://doi.org/10.3390/info10100324
Received: 25 August 2019 / Revised: 10 October 2019 / Accepted: 12 October 2019 / Published: 21 October 2019
The people in Bangladesh and two states (i.e., Tripura and West Bengal) in India, which is about 230 million of the world population, use Bangla as their first dialect. However, very few numbers of resources and tools are available for this language. This paper presents a Bangla DeConverter to extract Bangla texts from Universal Networking Language (UNL). It explains and illustrates the different phases of the proposed Bangla DeConverter. The syntactic linearization, the implementation of the results of the proposed Bangla DeConverter, and the extraction of a Bangla sentence from UNL expressions are presented in this paper. The Bangla DeConverter has been tested on UNL expressions of 300 Bangla sentences using a Russian and English Language Server. The proposed system generates 90% syntactically and semantically correct Bangla sentences with a UNL Bilingual Evaluation Understudy (BLEU) score of 0.76. View Full-Text
Keywords: Bangla DeConverter; UNL; UNL expression; generation rules; syntactic linearization Bangla DeConverter; UNL; UNL expression; generation rules; syntactic linearization
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Ali, M.N.Y.; Rahman, M.L.; Sorwar, G. Bangla DeConverter for Extraction of BanglaText from Universal Networking Language. Information 2019, 10, 324.

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