activity
20192026
most citedIgbo-English Machine Translation: An Evaluation Benchmark

13 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026★ 1 cited

Corpus-Based Approaches to Igbo Diacritic Restoration

Ignatius Ezeani

With natural language processing (NLP), researchers aim to enable computers to identify and understand patterns in human languages. This is often difficult because a language embed…

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★ 13 cited

Igbo-English Machine Translation: An Evaluation Benchmark

Ignatius Ezeani, Paul Rayson, Ikechukwu Onyenwe +2

Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging. A lot of focus on w…

cs.CL2019

Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo

Onyenwe Ikechukwu E, Onyedinma Ebele G, Aniegwu Godwin E +1

Most languages, especially in Africa, have fewer or no established part-of-speech (POS) tagged corpus. However, POS tagged corpus is essential for natural language processing (NLP)…