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ORCIDParameswari Krishnamurthy
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Journal Articles
- 2019
[j1]Parameswari Krishnamurthy
:
Development of Telugu-Tamil Transfer-Based Machine Translation System: An Improvization Using Divergence Index. J. Intell. Syst. 28(3): 493-504 (2019)
Conference and Workshop Papers
- 2024
- [c13]Jerrin Thomas, Pruthwik Mishra, Dipti Misra Sharma, Parameswari Krishnamurthy:
LTRC-IIITH at EHRSQL 2024: Enhancing Reliability of Text-to-SQL Systems through Abstention and Confidence Thresholding. ClinicalNLP@NAACL 2024: 697-702 - [c12]Jerrin Thomas, Sushvin Marimuthu, Parameswari Krishnamurthy:
LTRC-IIITH at MEDIQA-M3G 2024: Medical Visual Question Answering with Vision-Language Models. ClinicalNLP@NAACL 2024: 703-707 - [c11]Vandan Mujadia, Ashok Urlana, Yash Bhaskar, Penumalla Aditya Pavani, Kukkapalli Shravya, Parameswari Krishnamurthy, Dipti Misra Sharma:
Assessing Translation Capabilities of Large Language Models involving English and Indian Languages. EAMT (1) 2024: 207-228 - [c10]Sankalp Bahad, Pruthwik Mishra, Parameswari Krishnamurthy, Dipti Misra Sharma:
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages. NAACL (Student Research Workshop) 2024: 75-82 - [c9]Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy:
Noot Noot at SemEval-2024 Task 7: Numerical Reasoning and Headline Generation. SemEval@NAACL 2024: 913-917 - [c8]Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy:
Fine-tuning Language Models for AI vs Human Generated Text detection. SemEval@NAACL 2024: 918-921 - [c7]Sankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy:
NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection. SemEval@NAACL 2024: 964-968 - [c6]Abhinav P. M, Ketaki Shetye, Parameswari Krishnamurthy:
MTNLP-IIITH: Machine Translation for Low-Resource Indic Languages. WMT 2024: 751-755 - [c5]Yash Bhaskar, Parameswari Krishnamurthy:
Yes-MT's Submission to the Low-Resource Indic Language Translation Shared Task in WMT 2024. WMT 2024: 788-792 - 2021
- [c4]Richard Saldanha, Ananthanarayana V. S, Anand Kumar M, Parameswari Krishnamurthy:
NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task. WMT@EMNLP 2021: 299-303 - 2020
- [c3]Parameswari Krishnamurthy, Faith Varghese, Nagaraju Vuppala:
Parameswari_faith_nagaraju@Dravidian-CodeMix-FIRE: A machine-learning approach using n-grams in sentiment analysis for code-mixed texts: A case study in Tamil and Malayalam. FIRE (Working Notes) 2020: 620-627 - 2018
- [c2]Parameswari Krishnamurthy, Nagaraju Vuppala, Angeline Linda K:
A Transfer-rule based Verb Phrase Translation from English to Tamil. FIRE (Working Notes) 2018: 332-336 - 2015
- [c1]Parameswari Krishnamurthy:
Development of Telugu-Tamil Transfer-Based Machine Translation system: With Special reference to Divergence Index. DMTW 2015: 48-54
Informal and Other Publications
- 2024
- [i3]Abhinaba Bala, Ashok Urlana, Rahul Mishra, Parameswari Krishnamurthy:
Exploring News Summarization and Enrichment in a Highly Resource-Scarce Indian Language: A Case Study of Mizo. CoRR abs/2405.00717 (2024) - [i2]Sankalp Bahad, Pruthwik Mishra, Karunesh Arora, Rakesh Chandra Balabantaray, Dipti Misra Sharma, Parameswari Krishnamurthy:
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages. CoRR abs/2405.04829 (2024) - 2023
- [i1]Vandan Mujadia, Ashok Urlana, Yash Bhaskar, Penumalla Aditya Pavani, Kukkapalli Shravya, Parameswari Krishnamurthy, Dipti Misra Sharma:
Assessing Translation capabilities of Large Language Models involving English and Indian Languages. CoRR abs/2311.09216 (2023)
Coauthor Index
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