1 code implementation • 23 May 2023 • Cheikh M. Bamba Dione, David Adelani, Peter Nabende, Jesujoba Alabi, Thapelo Sindane, Happy Buzaaba, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Perez Ogayo, Anuoluwapo Aremu, Catherine Gitau, Derguene Mbaye, Jonathan Mukiibi, Blessing Sibanda, Bonaventure F. P. Dossou, Andiswa Bukula, Rooweither Mabuya, Allahsera Auguste Tapo, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Fatoumata Ouoba Kabore, Amelia Taylor, Godson Kalipe, Tebogo Macucwa, Vukosi Marivate, Tajuddeen Gwadabe, Mboning Tchiaze Elvis, Ikechukwu Onyenwe, Gratien Atindogbe, Tolulope Adelani, Idris Akinade, Olanrewaju Samuel, Marien Nahimana, Théogène Musabeyezu, Emile Niyomutabazi, Ester Chimhenga, Kudzai Gotosa, Patrick Mizha, Apelete Agbolo, Seydou Traore, Chinedu Uchechukwu, Aliyu Yusuf, Muhammad Abdullahi, Dietrich Klakow
In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages.
no code implementations • 10 Oct 2021 • Ikechukwu Onyenwe, Stanley Ogbonna, Ebele Onyedimma, Onyedikachukwu Ikechukwu-Onyenwe, Chidinma Nwafor
The idea is to embed regEx patterns as part of the search engine's algorithm in a web application project to provide strings related to the targeted items for more comprehensive coverage of search results.
no code implementations • 2 Sep 2021 • Ikechukwu Onyenwe, Ebele Onyedinma, Chidinma Nwafor, Obinna Agbata
This also requires that the users will have to spend a lot of time and effort to search for the best product deals, products updates and offers on e-commerce websites.
no code implementations • 7 Jul 2020 • Ikechukwu Onyenwe, Samuel Nwagbo, Njideka Mbeledogu, Ebele Onyedinma
This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique called sentiment analysis (SA).
no code implementations • 1 Apr 2020 • Ignatius Ezeani, Paul Rayson, Ikechukwu Onyenwe, Chinedu Uchechukwu, Mark Hepple
Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging.
no code implementations • COLING 2018 • Ignatius Ezeani, Ikechukwu Onyenwe, Mark Hepple
Most minority languages face the challenge of lack of resources - data and technologies - for NLP research.
no code implementations • NAACL 2018 • Ignatius Ezeani, Mark Hepple, Ikechukwu Onyenwe, Enemouh Chioma
In this work, we applied embedding models to the diacritic restoration task and compared their performances to those of n-gram models.
no code implementations • WS 2017 • Ignatius Ezeani, Mark Hepple, Ikechukwu Onyenwe
However, as a classification task, diacritic restoration is well suited for and will be more generalisable with machine learning.