Dual Translation of International and Indian Regional Language using Recent Machine Translation
| Autor: | Aluri Lakshmi, B Swathi, N Jayanthi, Ch Suresh Kumar Raju |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Machine translation
Artificial neural network Computer science media_common.quotation_subject Regional language 05 social sciences Dual (grammatical number) 010501 environmental sciences computer.software_genre 01 natural sciences Linguistics Telugu language.human_language Multiculturalism 0502 economics and business language Official language 050207 economics computer Versa 0105 earth and related environmental sciences media_common |
| Zdroj: | 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS). |
| Popis: | Neural Machine Translation (NMT) is a modern and powerful approach that has resulted in major improvements compared to traditional techniques of machine translation for translating one language into another. In the world, India is a very multicultural and multilingual country. People of India from various regions use their own regional communication languages, making India stand at the second position in the world to have maximum languages. In India, English is provided as the second extra official language. But the usage of English in India is very less forming a communication gap. To minimize this gap by translating one language into another language is almost impossible for humans. It can be achieved by a machine translation. This paper focuses on translating Indic languages using the translation technique of Neural technology. A Sequence to Sequence model with encoder-decoder attention mechanism of neural machine translation is proposed for Telugu language conversion into English and vice versa. |
| Databáze: | OpenAIRE |
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