3 papers
cs.CL2025
MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models
Suramya Jadhav, Abhay Shanbhag, Amogh Thakurdesai +3
Paraphrases are a vital tool to assist language understanding tasks such as question answering, style transfer, semantic parsing, and data augmentation tasks. Indic languages are c…
cs.CL2024
Non-Contextual BERT or FastText? A Comparative Analysis
Abhay Shanbhag, Suramya Jadhav, Amogh Thakurdesai +2
Natural Language Processing (NLP) for low-resource languages, which lack large annotated datasets, faces significant challenges due to limited high-quality data and linguistic reso…
cs.CL2024
On Limitations of LLM as Annotator for Low Resource Languages
Suramya Jadhav, Abhay Shanbhag, Amogh Thakurdesai +2
Low-resource languages face significant challenges due to the lack of sufficient linguistic data, resources, and tools for tasks such as supervised learning, annotation, and classi…