Journal article
Bangla DeConverter for extraction of BanglaText from Universal Networking Language
Information (Basel), Vol.10(10), p.324
01/10/2019
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Abstract
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.
Details
- Title
- Bangla DeConverter for extraction of BanglaText from Universal Networking Language
- Creators
- Md. Nawab Yousuf Ali - East West UniversityMd. Lizur Rahman - East West UniversityGolam Sorwar - Southern Cross University
- Publication Details
- Information (Basel), Vol.10(10), p.324
- Publisher
- MDPI AG
- Identifiers
- 991012865199802368
- Academic Unit
- Faculty of Science and Engineering; School of Business and Tourism; Faculty of Business, Law and Arts; Information Technology
- Language
- English
- Resource Type
- Journal article