Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages

arXiv:2404.18286v1 Announce Type: new
Abstract: Large Language Models are transforming NLP for a variety of tasks. However, how LLMs perform NLP tasks for low-resource languages (LRLs) is less explored. In line with the goals of the AmeicasNLP workshop, we focus on 12 LRLs from Brazil, 2 LRLs from Africa and 2 high-resource languages (HRLs) (e.g., English and Brazilian Portuguese). Our results indicate that the LLMs perform worse for the part of speech (POS) labeling of LRLs in comparison to HRLs. …

abstract arxiv brazil cross-lingual cs.cl focus however language language models languages large language large language models line llm llms low nlp performance prompting tasks transfer type workshop