Recent language models have shown impressive multilingual performance, even when not
explicitly trained for it. Despite this, there are concerns about the quality of their outputs …

Creoles represent an under-explored and marginalized group of languages, with few
available resources for NLP research. While the genealogical ties between Creoles and a …

In recent years, the natural language processing (NLP) community has given increased
attention to the disparity of efforts directed towards high-resource languages over low …

Developing effective spoken language processing systems for low-resource languages
poses several challenges due to the lack of parallel data and limited resources for fine …

We investigate methods to develop a parser for Martinican Creole, a highly under-resourced
language, using a French treebank. We compare transfer learning and multi-task learning …

We aim to learn language models for Creole languages for which large volumes of data are
not readily available, and therefore explore the potential transfer from ancestor languages …

This article responds to the current interventions regarding spatio-and linguistic diversity in
the digital humanities (DHs). Previous work has focused on the practitioners of DHs …

While major languages often enjoy substantial attention and resources, the linguistic
diversity across the globe encompasses a multitude of smaller, indigenous, and regional …

Large language models (LLMs) are increasingly deployed in real-world scenarios with the
help of recent model compression techniques. Such momentum towards local deployment …

In this paper, we describe KreolMorisienMT, a dataset for benchmarking machine translation
quality of Mauritian Creole. Mauritian Creole (Kreol Morisien) is a French-based creole and …