3 citations · 7 across the 9 of their papers we have counts for
9 papers
Opportunities and Challenges of Natural Language Processing for Low-Resource Senegalese Languages in Social Science Research
Derguene Mbaye, Tatiana D. P. Mbengue, Madoune R. Seye +7
Natural Language Processing (NLP) is rapidly transforming research methodologies across disciplines, yet African languages remain largely underrepresented in this technological shi…
Sentiment Analysis on the young people's perception about the mobile Internet costs in Senegal
Derguene Mbaye, Madoune Robert Seye, Moussa Diallo +8
Internet penetration rates in Africa are rising steadily, and mobile Internet is getting an even bigger boost with the availability of smartphones. Young people are increasingly us…
Task-Oriented Dialog Systems for the Senegalese Wolof Language
Derguene Mbaye, Moussa Diallo
In recent years, we are seeing considerable interest in conversational agents with the rise of large language models (LLMs). Although they offer considerable advantages, LLMs also…
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages
Cheikh M. Bamba Dione, David Adelani, Peter Nabende +41
In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these…
Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector
Derguene Mbaye, Moussa Diallo
The progress of Natural Language Processing (NLP), although fast in recent years, is not at the same pace for all languages. African languages in particular are still behind and la…
Low-Resourced Machine Translation for Senegalese Wolof Language
Derguene Mbaye, Moussa Diallo, Thierno Ibrahima Diop
Natural Language Processing (NLP) research has made great advancements in recent years with major breakthroughs that have established new benchmarks. However, these advances have m…
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42
African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability o…
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan +42
Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these dat…
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…