activity
20192026
most citedMasakhane -- Machine Translation For Africa

24 citations · 34 across the 12 of their papers we have counts for

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Showing cs.CLShow all

8 papers · 1 filter

cs.CL2026

FregeLogic at SemEval 2026 Task 11: A Hybrid Neuro-Symbolic Architecture for Content-Robust Syllogistic Validity Prediction

Adewale Akinfaderin, Nafi Diallo

We present FregeLogic, a hybrid neuro-symbolic system for SemEval-2026 Task 11 (Subtask 1), which addresses syllogistic validity prediction while reducing content effects on predic…

cs.CL2025

Plan-and-Write: Structure-Guided Length Control for LLMs without Model Retraining

Adewale Akinfaderin, Shreyas Subramanian, Akarsha Sehwag

Length control in Large Language Models (LLMs) is a crucial but under-addressed challenge, with applications ranging from voice interfaces requiring concise responses to research s…

cs.CL2025★ 2 cited

Temporal Analysis of Climate Policy Discourse: Insights from Dynamic Embedded Topic Modeling

Rafiu Adekoya Badekale, Adewale Akinfaderin

Understanding how policy language evolves over time is critical for assessing global responses to complex challenges such as climate change. Temporal analysis helps stakeholders, i…

cs.CL2021

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…

cs.CL2020★ 7 cited

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila +45

Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. "Low-resourced"-ness is a compl…

cs.CL2020

HausaMT v1.0: Towards English-Hausa Neural Machine Translation

Adewale Akinfaderin

Neural Machine Translation (NMT) for low-resource languages suffers from low performance because of the lack of large amounts of parallel data and language diversity. To contribute…

cs.CL2020

Predicting and Analyzing Law-Making in Kenya

Oyinlola Babafemi, Adewale Akinfaderin

Modelling and analyzing parliamentary legislation, roll-call votes and order of proceedings in developed countries has received significant attention in recent years. In this paper…

cs.CL2020★ 24 cited

Masakhane -- Machine Translation For Africa

Iroro Orife, Julia Kreutzer, Blessing Sibanda +22

Africa has over 2000 languages. Despite this, African languages account for a small portion of available resources and publications in Natural Language Processing (NLP). This is du…