1 citations · 1 across the 4 of their papers we have counts for
6 papers
A Study of Prior Case Retrieval Using Lexical, Semantic, and Rhetorical Role Information in Indian Legal Documents
Sayed Ayaan Ahmed Sha, Sangeetha Sivanesan, Anand Kumar Madasamy +3
For retrieving prior cases in Indian legal judgments, the problem involves distinguishing relevant legal facts from mere lexical similarities because a prior case that shares a sta…
Vectorizing Classical Tamil: Representation Learning for Verse-Commentary Pairs
Amrit Gopinath, Sangeetha Sivanesan
We construct a corpus of 1,262 verse--commentary (urai) pairs from five Classical Tamil source sections, ranging from technical grammatical prose to modern paraphrase, and ask what…
Contextual Tamil Spelling and Grammar Correction Using Progressively Fine-Tuned Sequence-to-Sequence Transformers
Karthikeyan A, Jaya Nirmala S, Sangeetha Sivanesan +4
Tamil spell and grammar correction is challenging because Tamil is an agglutinative low-resource language with rich verbal morphology, complex sandhi (phonetic transformation) rule…
Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments
Sayed Ayaan Ahmed Sha, Sangeetha Sivanesan, Anand Kumar Madasamy +1
This research paper proposes a Retrieval Augmented Generation (RAG) framework that is specific to the legal field in order to assist interactive retrieval and reason about judgment…
Systematic Analysis of Large Language Models and Transformer-Based Machine Translation for English-Tamil and Tamil-English Across Diverse Datasets
Sriharshaa S, Sangeetha Sivanesan, Jaya Nirmala S
The challenge of Machine Translation for low resource languages such as Tamil is primarily caused by the restricted amount of parallel data for these languages, as well as their su…
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini +7
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification…