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.CL2025
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…
cs.CL2025
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…