10 citations · 19 across the 4 of their papers we have counts for
7 papers
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…
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…
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…
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.
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…
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,…