activity
20212026
most citedEnglish-Twi Parallel Corpus for Machine Translation

5 citations · 12 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Benchmarking and Domain Adaptation of Automatic Speech Recognition (ASR) for Adolescent Health Communication in Ghanaian Languages

Stephen E. Moore, Akwasi Asare, Mich-Seth Owusu +3

This paper presents an end-to-end study of automatic speech recognition (ASR) for adolescent health communication in three Ghanaian languages (Twi, Dagbani, and Ewe). The work proc…

cs.CL2026

Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages

Stephen E. Moore, Mich-Seth Owusu, Akwasi Asare +13

Large language models (LLMs) have demonstrated impressive multilingual capabilities for well-resourced languages, yet their performance on low-resource African languages remains po…

cs.CL2026

GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages

Lawrence Adu Gyamfi, Paul Azunre, Stephen Edward Moore +4

Low resource languages present unique challenges for natural language processing due to the limited availability of digitized and well structured linguistic data. To address this g…

cs.CL2023

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal +55

Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, s…

cs.CL2021★ 5 cited

English-Twi Parallel Corpus for Machine Translation

Paul Azunre, Salomey Osei, Salomey Addo +24

We present a parallel machine translation training corpus for English and Akuapem Twi of 25,421 sentence pairs. We used a transformer-based translator to generate initial translati…

cs.CL2021★ 4 cited

NLP for Ghanaian Languages

Paul Azunre, Salomey Osei, Salomey Addo +24

NLP Ghana is an open-source non-profit organization aiming to advance the development and adoption of state-of-the-art NLP techniques and digital language tools to Ghanaian languag…