| Autor: |
Tayal, Madhuri A., Nakhate, Sakshi, Sinha, Shiva, Ridhorkar, Sonali M., Chauhan, Reena, Thakur, Rohit Singh |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3214 Issue 1, p1-7, 7p |
| Abstrakt: |
More particularly the discipline of "artificial intelligence" (AI) known as "natural language processing" (NLP) aims toward offering computers the same level of understanding as humans through spoken and written language. It relates with daily activities like texting, emailing, and cross-language communication and is employed for practical purposes. The requirement for intelligent systems that can read text and listen to voice memos and can converse with people in a natural language like English has substantially increased in recent years. Multilingual machine translation can translate multiple source languages into multiple target languages. In this piece of work, cutting-edge Multi-lingual MT has been created for Indic languages and then based on language universal & typology number of language limitations are tackled. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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