15 citations · 17 across the 5 of their papers we have counts for
7 papers
KinyaColBERT: A Lexically Grounded Retrieval Model for Low-Resource Retrieval-Augmented Generation
Antoine Nzeyimana, Andre Niyongabo Rubungo
The recent mainstream adoption of large language model (LLM) technology is enabling novel applications in the form of chatbots and virtual assistants across many domains. With the…
Low-resource neural machine translation with morphological modeling
Antoine Nzeyimana
Morphological modeling in neural machine translation (NMT) is a promising approach to achieving open-vocabulary machine translation for morphologically-rich languages. However, exi…
KinSPEAK: Improving speech recognition for Kinyarwanda via semi-supervised learning methods
Antoine Nzeyimana
Despite recent availability of large transcribed Kinyarwanda speech data, achieving robust speech recognition for Kinyarwanda is still challenging. In this work, we show that using…
KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment Analysis
Antoine Nzeyimana
This paper describes the system entered by the author to the SemEval-2023 Task 12: Sentiment analysis for African languages. The system focuses on the Kinyarwanda language and uses…
KinyaBERT: a Morphology-aware Kinyarwanda Language Model
Antoine Nzeyimana, Andre Niyongabo Rubungo
Pre-trained language models such as BERT have been successful at tackling many natural language processing tasks. However, the unsupervised sub-word tokenization methods commonly u…
Lamotrigine Therapy for Bipolar Depression: Analysis of Self-Reported Patient Data
Antoine Nzeyimana, Kate EA Saunders, John R Geddes +1
Background: Depression in people with bipolar disorder is a major cause of long-term disability, possibly leading to early mortality and currently, limited safe and effective thera…