This paper is published in Volume-4, Issue-2, 2018
Area
Computer Science
Author
Nisha S. Tathe
Co-authors
Jayasha S. Kriplani, Shiwani S. Deshmukh, Nikita K. Sadrani, Monika A. Panjwani
Org/Univ
Datta Meghe Institute of Engineering, Technology and Research, Wardha, Maharashtra, India
Pub. Date
19 March, 2018
Paper ID
V4I2-1241
Publisher
Keywords
Translator, Database, Sentence, Language, Software, Sentential Translation.

Citationsacebook

IEEE
Nisha S. Tathe, Jayasha S. Kriplani, Shiwani S. Deshmukh, Nikita K. Sadrani, Monika A. Panjwani. EBMT Sindhi to Hindi Sentence Translation System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nisha S. Tathe, Jayasha S. Kriplani, Shiwani S. Deshmukh, Nikita K. Sadrani, Monika A. Panjwani (2018). EBMT Sindhi to Hindi Sentence Translation System. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Nisha S. Tathe, Jayasha S. Kriplani, Shiwani S. Deshmukh, Nikita K. Sadrani, Monika A. Panjwani. "EBMT Sindhi to Hindi Sentence Translation System." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Example Based Machine Translation (EBMT) is the system which translates sentences from Sindhi to Hindi. It uses the parallel corpus for translating sentences. To handle large volume of data the computational model is required. The requirement for a computational resource in EBMT is significantly less as compared to MT (Machine Translator). This makes development of EBMT systems for Sindhi to Hindi translation feasible, where availability of large-scale computational resources is still scarce. Example based machine translation relies on the database for its translation. The software helps to get a sentential translation according to semantics and syntactic of the language. The frequency of word occurrence is important for translation in EBMT.
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