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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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A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these datasets. This is primarily because many widely spoken languages are not well represente...

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A massively parallel corpus: the Bible in 100 languages

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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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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African Alphabets of the Bayreuth Cluster (AABC)

African Alphabets of the Bayreuth Cluster (AABC) provides mobiles and desktop PCs (Windows and iOS) with keyboards for all common African languages and scripts. More information and the download link for the Mac/Windows program can be found at the bottom of this pa...

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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...

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AfriCLIRMatrix

AfriCLIRMatrix is a test collection for cross-lingual information retrieval research in 15 diverse African languages. This resource comprises English queries with query–document relevance judgments in 15 African languages automatically mined from Wikipedia...

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AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages

Language diversity in NLP is critical in enabling the development of tools for a wide range of users.However, there are limited resources for building such tools for many languages, particularly those spoken in Africa.For search, most existing datasets feature few ...

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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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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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ALFFA (African Languages in the Field: speech Fundamentals and Automation)

This data is transcribed speech data, in Amharic and Swahili and Wolof. This repository is a result of the ALFFA project http://alffa.imag.fr

ALFFA_PUBLIC

This repository is a result of the ALFFA project http://alffa.imag.fr We distribute READY-to-use (or READY-to-train) KALDI ASR systems and (when possible) associated corpora..

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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Automatic Speech Recognition for African Languages with Vowel Length Contrast

This paper deals with ASR for two languages: Hausa and Wolof. Their common characteristic is to appear with vowel length contrast. In other words, two versions (short/ long) of a same vowel exist in the phoneme inventory of the language. We expect that taking into ...

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