Saving the legacy of Hero Ibash: Evaluating Four Language Models for Aminoacian

arXiv:2402.18121v1 Announce Type: new
Abstract: This study assesses four cutting-edge language models in the underexplored Aminoacian language. Through evaluation, it scrutinizes their adaptability, effectiveness, and limitations in text generation, semantic coherence, and contextual understanding. Uncovering insights into these models' performance in a low-resourced language, this research pioneers pathways to bridge linguistic gaps. By offering benchmarks and understanding challenges, it lays groundwork for future advancements in natural language processing, aiming to elevate the applicability of language models in similar linguistic landscapes, …

abstract adaptability arxiv cs.ai cs.cl edge evaluation insights language language models limitations low performance research saving semantic study text text generation through type understanding