Join our mailing list to get updates on our events, news, and the latest from the world of African language resources.

Your email is safe with us. We promise not to spam!
Please, consider giving your feedback on using Lanfrica so that we can know how best to serve you. To get started, .
X
Filter

Filter Records

Languages

Loading...

Tasks

Loading...

Record Types

Loading...

Tags

Loading...

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...

Expand Abstract

African Voices

African Voices is a collaborative project that aims to collects high-quality speech (tts) datasets and synthesizers for all African languages. You can search datasets and synthesizers by language. You can also synthesize text from your synthesizer of choice. Additi...

Expand Abstract

AfroLID: A Neural Language Identification Tool for African Languages

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

Expand Abstract

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 ...

Expand Abstract

AfroMT

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

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...

Expand Abstract

Bible TTS

BibleTTS is a large high-quality open Text-to-Speech dataset with up to 80 hours of single speaker, studio quality 48kHz recordings for each language. We release aligned speech and text for six languages spoken in Sub-Saharan Africa, with unaligned data for four ad...

Expand Abstract

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

BibleTTS is a large, high-quality, open speech dataset for ten languages spoken in Sub-Saharan Africa. The corpus contains up to 86 hours of aligned, studio quality 48kHz single speaker recordings per language, enabling the development of high-quality text-to-speec...

Expand Abstract

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...

Expand Abstract

Building African Voices

Modern speech synthesis techniques can produce natural-sounding speech given sufficient high-quality data and compute resources. However, such data is not readily available for many languages. This paper focuses on speech synthesis for low-resourced African languag...

Expand Abstract

Cc100

This corpus is an attempt to recreate the dataset used for training XLM-R. This corpus comprises of monolingual data for 100+ languages and also includes data for romanized languages (indicated by *_rom). This was constructed using the urls and paragraph indices pr...

Expand Abstract

Ccaligned Multilingual

CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding...

Expand Abstract

CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs

Cross-lingual document alignment aims to identify pairs of documents in two distinct languages that are of comparable content or translations of each other. In this paper, we exploit the signals embedded in URLs to label web documents at scale with an average preci...

Expand Abstract

Cross-lingual Name Tagging and Linking for 282 Languages

The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-...

Expand Abstract

FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech

We introduce FLEURS, the Few-shot Learning Evaluation of Universal Representations of Speech benchmark. FLEURS is an n-way parallel speech dataset in 102 languages built on top of the machine translation FLoRes-101 benchmark, with approximately 12 hours of speech s...

Expand Abstract

Cookies are used on the Lanfrica website to ensure you get the best experience.

Got it
© 2025 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.