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pro vyhledávání: '"Krishnamurthy, Parameswari"'
Autor:
Bahad, Sankalp, Mishra, Pruthwik, Arora, Karunesh, Balabantaray, Rakesh Chandra, Sharma, Dipti Misra, Krishnamurthy, Parameswari
Named Entity Recognition (NER) is a useful component in Natural Language Processing (NLP) applications. It is used in various tasks such as Machine Translation, Summarization, Information Retrieval, and Question-Answering systems. The research on NER
Externí odkaz:
http://arxiv.org/abs/2405.04829
Obtaining sufficient information in one's mother tongue is crucial for satisfying the information needs of the users. While high-resource languages have abundant online resources, the situation is less than ideal for very low-resource languages. More
Externí odkaz:
http://arxiv.org/abs/2405.00717
Autor:
Mujadia, Vandan, Urlana, Ashok, Bhaskar, Yash, Pavani, Penumalla Aditya, Shravya, Kukkapalli, Krishnamurthy, Parameswari, Sharma, Dipti Misra
Generative Large Language Models (LLMs) have achieved remarkable advancements in various NLP tasks. In this work, our aim is to explore the multilingual capabilities of large language models by using machine translation as a task involving English an
Externí odkaz:
http://arxiv.org/abs/2311.09216
Autor:
Krishnamurthy Parameswari
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 493-504 (2019)
Building an automatic, high-quality, robust machine translation (MT) system is a fascinating yet an arduous task, as one of the major difficulties lies in cross-linguistic differences or divergences between languages at various levels. The existence
Externí odkaz:
https://doaj.org/article/13cd94f867c2407bacb77b7b213c6834
