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

Fuente: arXiv
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Auteurs principaux: Adelani, David Ifeoluwa, Doğruöz, A. Seza, Coneglian, André, Ojha, Atul Kr.
Format: Preprint
Publié: 2024
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author Adelani, David Ifeoluwa
Doğruöz, A. Seza
Coneglian, André
Ojha, Atul Kr.
author_facet Adelani, David Ifeoluwa
Doğruöz, A. Seza
Coneglian, André
Ojha, Atul Kr.
contents 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 AmericasNLP 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. We explain the reasons behind this failure and provide an error analysis through examples observed in our data set.
format Preprint
id arxiv_https___arxiv_org_abs_2404_18286
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
Adelani, David Ifeoluwa
Doğruöz, A. Seza
Coneglian, André
Ojha, Atul Kr.
Computation and Language
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 AmericasNLP 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. We explain the reasons behind this failure and provide an error analysis through examples observed in our data set.
title Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
topic Computation and Language
url https://arxiv.org/abs/2404.18286