6 citations · 6 across the 2 of their papers we have counts for
3 papers
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…
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…
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…