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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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We introduce a speech corpus containing multilingual code-switching compiled from South African soap operas. The corpus contains English, isiZulu, isiXhosa, Setswana and Sesotho speech, paired into four language-balanced subcorpora containing English-isiZulu, Engli...

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We describe the creation of a massively parallel corpus based on 100 translations of the Bible. We discuss some of the difficulties in acquiring and processing the raw material as well as the potential of the Bible as a corpus for natural language processing. Final...

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This website contains information about African Languages, and other African Language related resources. Currently mostly only the South African languages are covered, as well as Kiswahili and Cilubà. It is estimated that there are between 2000 and 3000 languages ...

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

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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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Code for the EMNLP 2021 Paper AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages.

Reproducible benchmarks are crucial in driving progress of machine translation research. However, existing machine translation benchmarks have been mostly limited to high-resource or well-represented languages. Despite an increasing interest in low-resource machine...

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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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Vision-and-language (VL) models with separate encoders for each modality (e.g., CLIP) have become the go-to models for zero-shot image classification and image-text retrieval. The bulk of the evaluation of these models is, however, performed with English text only:...

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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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This is a multilingual parallel corpus created from translations of the Bible compiled by Christos Christodoulopoulos and Mark Steedman. 102 languages, 5,148 bitexts total number of files: 107 total number of tokens: 56.43M total number of sentence fragments: 2.84...

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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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Morphological analysis involves investigating the syntactic class of a word but can also extend to the decomposition and syntactic analysis of its underlying morpheme composition. This is especially relevant to languages with an agglutinative writing system where m...

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