TL;DR
The combination of domain adaptation and architectural rigour establishes MythoBERT as a foundational model for computational mythology and opens new avenues in cultural heritage NLP research.
In this paper, we introduce MAQASID, a closed-domain dataset for exploring the optimal semantic representation of Indonesian Islamic texts. It is designed to solve challenges in low-resource languages and closed-domain religious datasets, such as Arabic-to-Indonesian transliteration inconsistencies and semantic shifts....
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.
A corpus containing both manually curated and synthetically generated sentences for low-resource Indian languages, such as Maithili is contributed and it is demonstrated that, even with a smaller corpus size, high-quality, task-specific data significantly enhance translation accuracy for low-resource Indian languages,...
Cross-lingual plagiarism detection (CLPD) remains a critical challenge in Natural Language Processing, particularly for low-resource language pairs where translation and paraphrasing obscure source materials. This study introduces a robust framework for Persian-English CLPD by integrating state-of-the-art sentence repr...
We present Arkios, a 1.04B-parameter dense transformer pretrained from scratch on 150B tokens of bilingual English-Nepali text, using a custom single-file C/CUDA training stack and a Devanagari-aware byte-level BPE tokenizer built for this project. On ARC-Easy and ARC-Challenge, Arkios exceeds three comparably sized op...
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