3 papers
cs.CL2025
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Paulo Cavalin, Pedro Henrique Domingues, Claudio Pinhanez
In this paper we show that corpus-level aggregation hinders considerably the capability of lexical metrics to accurately evaluate machine translation (MT) systems. With empirical e…
cs.CL2024
Harnessing the Power of Artificial Intelligence to Vitalize Endangered Indigenous Languages: Technologies and Experiences
Claudio Pinhanez, Paulo Cavalin, Luciana Storto +9
Since 2022 we have been exploring application areas and technologies in which Artificial Intelligence (AI) and modern Natural Language Processing (NLP), such as Large Language Mode…
cs.CL2024
PeLLE: Encoder-based language models for Brazilian Portuguese based on open data
Guilherme Lamartine de Mello, Marcelo Finger, and Felipe Serras +4
In this paper we present PeLLE, a family of large language models based on the RoBERTa architecture, for Brazilian Portuguese, trained on curated, open data from the Carolina corpu…