activity
20182021
most citedA Focus on Neural Machine Translation for African Languages

38 citations · 59 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CL202110 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

MasakhaNER: Named Entity Recognition for African Languages

David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58

We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…

cs.CL20207 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

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…

cs.CL20194 cited

Benchmarking Neural Machine Translation for Southern African Languages

Laura Martinus, Jade Z. Abbott

Unlike major Western languages, most African languages are very low-resourced. Furthermore, the resources that do exist are often scattered and difficult to obtain and discover. As…