MaitH 1.0: A Parallel Corpus and Baseline for Low-Resource Maithili-Hindi Translation

AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments

Stemming techniques for resource-poor languages: a review of methods, challenges, and applications

A systematic review of stemming techniques across Afro-Asiatic, Indo-Aryan, Turkic, and Uralic language families, with explicit acknowledgment of coverage limitation, points out the strengths and weaknesses of current approaches and provides insights into potential areas for future investigation and developments in lan...

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark

MameLoshnLM, the first open-source 8B-parameter language model built specifically for Yiddish, is presented, providing both a foundation for Yiddish NLP and a practical template for language model development in historically rich but digitally underrepresented languages.

Dataset Curation for Kalabari NMT System

A transferable curation framework for endangered languages, the first sizable Kalabari-English parallel corpus, and baseline experiments that reveal both the promise and the hallucination pitfalls of training on highly constrained, domain-specific data are contributed.

MythoBERT 1.0: A pre-trained language model for Hindu mythology

SraVaani 1.0: Scaling Inclusive Speech Recognition for Indic Languages

SraVaani-1.0 achieves the lowest word error rate (WER) on a large number of language-dataset pairs while remaining competitive with the best-performing systems on high resource while being assessed exclusively on the VAANI benchmark.