activity
20242026
most citedTriples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation

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

collaborators

7 papers

cs.CL2026

RunyaNER: Auxiliary Language Selection for Runyankore NER

Prosper Arineitwe Asiimwe, Francois Meyer, Jan Buys

Cross-lingual zero-shot transfer and multilingual fine-tuning are promising approaches for NLP tasks such as Named Entity Recognition (NER) in low-resource languages, but in the ab…

cs.CL2026

The Geometry of Low-Resource Language Representations

Francois Meyer, Jan Buys

The performance gap between low- and high-resource languages in LLMs is widely known, but it remains unclear which internal model factors drive these disparities. In this paper, we…

cs.CL2026

MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages

Anri Lombard, Simbarashe Mawere, Temi Aina +5

Decoder-only language models can be adapted to diverse tasks through instruction finetuning, but the extent to which this generalizes at small scale for low-resource languages rema…

cs.CL2025

The Learning Dynamics of Subword Segmentation for Morphologically Diverse Languages

Francois Meyer, Jan Buys

Subword segmentation is typically applied in preprocessing and stays fixed during training. Alternatively, it can be learned during training to optimise the training objective. In…

cs.CL2024

A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation

Francois Meyer, Jan Buys

Multilingual modelling can improve machine translation for low-resource languages, partly through shared subword representations. This paper studies the role of subword segmentatio…

cs.CL2024★ 1 cited

Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation

Francois Meyer, Jan Buys

Most data-to-text datasets are for English, so the difficulties of modelling data-to-text for low-resource languages are largely unexplored. In this paper we tackle data-to-text fo…

cs.CL2024★ 1 cited

Multipath parsing in the brain

Berta Franzluebbers, Donald Dunagan, Miloš Stanojević +2

Humans understand sentences word-by-word, in the order that they hear them. This incrementality entails resolving temporary ambiguities about syntactic relationships. We investigat…