Understand
Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging.
- A lot of focus on well resourced languages such as English, Japanese, German, French, Russian, Mandarin Chinese etc.
- Over 97% of the world's 7000 languages, including African languages, are low resourced for NLP i.e.
- they have little or no data, tools, and techniques for NLP research.
Built on
Parallel data, tools and interfaces in opus
Jörg Tiedemann · 2012
Earlier work this paper cites.
Assessing inter-annotator agreement for translation error annotation
Arle Lommel, Maja Popovic, and Aljoscha Burchardt · 2014
Earlier work this paper cites.
Similar
Part-of-speech tagset and corpus development for igbo, an african language
Ikechukwu Onyenwe, Chinedu Uchechukwu, and Mark Hepple · 2014
Cited alongside, same era.
Automatic restoration of diacritics for igbo language
Ignatius Ezeani, Mark Hepple, and Ikechukwu Onyenwe · 2016
Cited alongside, same era.
Then
Transferred embeddings for igbo similarity, analogy, and diacritic restoration tasks
Ignatius Ezeani, Ikechukwu Onyenwe, and Mark Hepple · 2018
Later among the works it cites.
Toward an effective igbo part-of-speech tagger
Ikechukwu E Onyenwe, Mark Hepple, Uchechukwu Chinedu, and Ignatius Ezeani · 2019
Later among the works it cites.
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