4 citations · 17 across the 12 of their papers we have counts for
12 papers
Where Are We? Evaluating LLM Performance on African Languages
Ife Adebara, Hawau Olamide Toyin, Nahom Tesfu Ghebremichael +2
Africa's rich linguistic heritage remains underrepresented in NLP, largely due to historical policies that favor foreign languages and create significant data inequities. In this p…
Toucan: Many-to-Many Translation for 150 African Language Pairs
AbdelRahim Elmadany, Ife Adebara, Muhammad Abdul-Mageed
We address a notable gap in Natural Language Processing (NLP) by introducing a collection of resources designed to improve Machine Translation (MT) for low-resource languages, with…
Interplay of Machine Translation, Diacritics, and Diacritization
Wei-Rui Chen, Ife Adebara, Muhammad Abdul-Mageed
We investigate two research questions: (1) how do machine translation (MT) and diacritization influence the performance of each other in a multi-task learning setting (2) the effec…
Cheetah: Natural Language Generation for 517 African Languages
Ife Adebara, AbdelRahim Elmadany, Muhammad Abdul-Mageed
Low-resource African languages pose unique challenges for natural language processing (NLP) tasks, including natural language generation (NLG). In this paper, we develop Cheetah, a…
Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability
Wei-Rui Chen, Ife Adebara, Khai Duy Doan +2
ChatGPT has recently emerged as a powerful NLP tool that can carry out a variety of tasks. However, the range of languages ChatGPT can handle remains largely a mystery. To uncover…
UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment Analysis
Gagan Bhatia, Ife Adebara, AbdelRahim Elmadany +1
We describe our contribution to the SemEVAl 2023 AfriSenti-SemEval shared task, where we tackle the task of sentiment analysis in 14 different African languages. We develop both mo…
SERENGETI: Massively Multilingual Language Models for Africa
Ife Adebara, AbdelRahim Elmadany, Muhammad Abdul-Mageed +1
Multilingual pretrained language models (mPLMs) acquire valuable, generalizable linguistic information during pretraining and have advanced the state of the art on task-specific fi…
AfroLID: A Neural Language Identification Tool for African Languages
Ife Adebara, AbdelRahim Elmadany, Muhammad Abdul-Mageed +1
Language identification (LID) is a crucial precursor for NLP, especially for mining web data. Problematically, most of the world's 7000+ languages today are not covered by LID tech…
Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Go
Ife Adebara, Muhammad Abdul-Mageed
Aligning with ACL 2022 special Theme on "Language Diversity: from Low Resource to Endangered Languages", we discuss the major linguistic and sociopolitical challenges facing develo…
Improving Similar Language Translation With Transfer Learning
Ife Adebara, Muhammad Abdul-Mageed
We investigate transfer learning based on pre-trained neural machine translation models to translate between (low-resource) similar languages. This work is part of our contribution…
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked Settings
Ife Adebara, Muhammad Abdul-Mageed, Miikka Silfverberg
Translating between languages where certain features are marked morphologically in one but absent or marked contextually in the other is an important test case for machine translat…
Translating Similar Languages: Role of Mutual Intelligibility in Multilingual Transformers
Ife Adebara, El Moatez Billah Nagoudi, Muhammad Abdul Mageed
We investigate different approaches to translate between similar languages under low resource conditions, as part of our contribution to the WMT 2020 Similar Languages Translation…