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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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Adapters for African languages -- based on AfroXLMR

MAD-X adapters trained on AfroXLMR-base, it has the same configuration as XLMR-base....

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Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning

Multilingual pre-trained language models (PLMs) have demonstrated impressive performance on several downstream tasks for both high-resourced and low-resourced languages. However, there is still a large performance drop for languages unseen during pre-training, espe...

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AfriBERTa: Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages

This repository contains the code for the paper Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages which appears in the first workshop on Multilingual Representation Learning at EMNLP 2021. AfriBE...

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AfriSenti

AfriSenti is the largest sentiment analysis dataset for under-represented African languages, covering 110,000+ annotated tweets in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oro...

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AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

Africa is home to over 2000 languages from over six language families and has the highest linguistic diversity among all continents. This includes 75 languages with at least one million speakers each. Yet, there is little NLP research conducted on African languages...

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AfriTeVa-Keji

This repository contains code to reproduce Better Quality Pre-training Data and T5 Models for African Languages which appears in the 2023 conference on Empirical Methods in Natural Language Processing (EMNLP). AfriTeVa V2 was trained on 20 languages (16 African La...

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AfroLID: A Neural Language Identification Tool for African Languages

Language identification (LID) is a crucial precursor for NLP, especially for mining web data. Problematically, most of the world's 7000+ languages today are not covered by LID technologies. We address this pressing issue for Africa by introducing AfroLID, a neural ...

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AfroLID: A Neural Language Identification Tool for African Languages

AfroLID is a powerful neural toolkit for African languages identification which covers 517 African languages....

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Analysing the effects of transfer learning on low-resourced named entity recognition performance

Transfer learning has led to large gains in performance for nearly all NLP tasks while making downstream models easier and faster to train. This has also been extended to low-resourced languages, with some success. We investigate the properties of transfer learning...

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Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to the finetuning of pre-trained models on a diverse set of tasks that enables a large la...

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Better Quality Pre-training Data and T5 Models for African Languages

In this study, we highlight the importance of enhancing the quality of pretraining data in multilingual language models. Existing web crawls have demonstrated quality issues, particularly in the context of low-resource languages. Consequently, we introduce a new mu...

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BloomLM

This version of the Bloom Library data is developed specifically for the language modeling task. It includes data from nearly 400 languages across 35 language families, with many of the languages represented being extremely low resourced languages. Note: If you sp...

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BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

We introduce BRIGHTER: a new emotion recognition dataset collection in 28 languages that originate from 7 distinct language families. Many of these languages are considered low-resource, and are mainly spoken in regions characterised by a limited availability of NL...

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BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

People worldwide use language in subtle and complex ways to express emotions. While emotion recognition -- an umbrella term for several NLP tasks -- significantly impacts different applications in NLP and other fields, most work in the area is focused on high-resou...

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