activity
20202025
most citedMasakhane -- Machine Translation For Africa

24 citations · 45 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CY2025★ 2 cited

Towards Best Practices for Open Datasets for LLM Training

Stefan Baack, Stella Biderman, Kasia Odrozek +36

Many AI companies are training their large language models (LLMs) on data without the permission of the copyright owners. The permissibility of doing so varies by jurisdiction: in…

cs.CL2021★ 10 cited

AI4D -- African Language Program

Kathleen Siminyu, Godson Kalipe, Davor Orlic +15

Advances in speech and language technologies enable tools such as voice-search, text-to-speech, speech recognition and machine translation. These are however only available for hig…

cs.CL2021

Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties

Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos +3

Models pre-trained on multiple languages have shown significant promise for improving speech recognition, particularly for low-resource languages. In this work, we focus on phoneme…

cs.CL2021

Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments

David R. Mortensen, Jordan Picone, Xinjian Li +1

There is growing interest in ASR systems that can recognize phones in a language-independent fashion. There is additionally interest in building language technologies for low-resou…

cs.CL2020★ 2 cited

1st AfricaNLP Workshop Proceedings, 2020

Kathleen Siminyu, Laura Martinus, Vukosi Marivate

Proceedings of the 1st AfricaNLP Workshop held on 26th April alongside ICLR 2020, Virtual Conference, Formerly Addis Ababa Ethiopia.

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

AI4D -- African Language Dataset Challenge

Kathleen Siminyu, Sackey Freshia, Jade Abbott +1

As language and speech technologies become more advanced, the lack of fundamental digital resources for African languages, such as data, spell checkers and Part of Speech taggers,…

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…