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African Storybook Project

The African Storybook (ASb) is a multilingual literacy initiative that works with educators and children to publish openly licensed picture storybooks for early reading in the languages of Africa. An initiative of Saide, the ASb has an interactive website that enab...

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ANTC — African News Topic Classification Dataset

We created a novel dataset, ANTC — African News Topic Classification for 4 African languages. We obtained data from three different news sources: VOA, BBC6 and isolezwe7 . From the VOA data we created datasets for Lingala and Somali. We obtained the topics from dat...

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BibleMMS: massively multilingual TTS dataset

The Dataset associated with the Paper "Meta Learning Text-to-Speech Synthesis in over 7000 Languages" by Florian Lux, Sarina Meyer, Lyonel Behringer, Frank Zalkow, Phat Do, Matt Coler, Emanuël A. P. Habets and Ngoc Thang Vu (Interspeech 2024). We generate 2000 spo...

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Ikenga Nation TV | Igbo Lectures | Nsibidi & more

IkengaNation We believe in rethinking education in Africa to focus on native language centered education. We are doing this through children's programming using puppets (like on Sesame Street). The goal is to educate young Igbo children (in Igbo land, Nigeria) ab...

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Linguarena

The story of Linguarena I am Samba Kamara, founder of Linguarena. In 2009, before a trip to Dakar (Senegal), I decided to learn wolof language. It was not my first trip to Senegal but this time I wanted to be able to talk with locals in wolof. I was used to l...

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"Backwards" sibilant palatalization in a variety of Setswana

Palatalization of coronals and stridents is well-known and widespread, and is most commonly associated with front vowels or glides as triggers. In some dialect(s) of Setswana, a much different type of palatalization occurs: alveolar stridents /s ts tsʰ/ become pre-...

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“Application of Ensemble methods for solving imbalanced data problems”

“Application of Ensemble methods for solving imbalanced data problems”

Poster presented at the Deep Learning Indaba 2022 by Henock Makumbu Mboko

{AI}4{D} - {A}frican Language Dataset Challenge

As language and speech technologies become more advanced, the lack of fundamental digital resources for African languages, such as data, spell checkers and PoS taggers, means that the digital divide between these languages and others keeps growing. This work detail...

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{MAD}-{G}: {M}ultilingual Adapter Generation for Efficient Cross-Lingual Transfer

Adapter modules have emerged as a general parameter-efficient means to specialize a pretrained encoder to new domains. Massively multilingual transformers (MMTs) have particularly benefited from additional training of language-specific adapters. However, this appro...

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{S}tereo{S}et: Measuring stereotypical bias in pretrained language models

A stereotype is an over-generalized belief about a particular group of people, e.g., Asians are good at math or African Americans are athletic. Such beliefs (biases) are known to hurt target groups. Since pretrained language models are trained on large real-world d...

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`Oral Tradition Nanga-Nanga in Simeulue Island

Oral tradition appears in many forms such as pantoons, poetry, songs, plays, and pantoon. Some of them are sung in order to make the performer easier to memorize the lyric. In Simeulue island, Aceh province Indonesia, several oral tradition namely nandong, nanga-na...

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3D reconstructions of brain from MRI scans using neural radiance fields

3D reconstructions of brain from MRI scans using neural radiance fields

Poster presented at the Deep Learning Indaba 2023 by Khadija  Iddrisu

A Basic Language Resource Kit Implementation for the IgboNLP Project

Igbo, an African language with around 32 million speakers worldwide, is one of the many languages having few or none of the language processing resources needed for advanced language technology applications. In this article, we describe the approach taken to creati...

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A Brief Propensity Index for Conduct Disorder (BPI-CD): Development, Validity and Reliability

ABSTRACT Conduct Disorder (CD) can pose serious concerns to parents, home and the society, meanwhile assessing this construct in clinical practice has been based on western concepts which limited the cultural factors implicated in CD. This study presents a reliabl...

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A Cascade Deep Forest Model for Breast Cancer Subtype Classification Using Multi-Omics Data

A Cascade Deep Forest Model for Breast Cancer Subtype Classification Using Multi-Omics Data

Poster presented at the Deep Learning Indaba 2022 by Ala’a El-Nabawy

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