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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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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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Berber

Arabic has influenced Berber at all levels – not just lexically, but phonologically, morphologically, and syntactically – to an extent varying from region to region. Arabic influence is especially prominent in smaller northern and eastern varieties, but is substant...

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CMU Wilderness Multilingual Speech Dataset

A dataset of over 700 different languages providing audio, aligned text and word pronunciations. On average each language provides around 20 hours of sentence-lengthed transcriptions. Data is mined from read New Testaments from http://www.bible.is/

CMU Wilderness Multilingual Speech Dataset (Paper)

This paper describes the CMU Wilderness Multilingual Speech Dataset. A dataset of over 700 different languages providing audio, aligned text and word pronunciations. On average each language provides around 20 hours of sentence-lengthed transcriptions. We describe ...

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Evaluation of Virtual Keyboards for West-African Languages

West African languages are written with alphabets that comprize non classical Latin characters. It is possible to design virtual keyboards which allow the writing of such special characters with a combination of keys. During the last decade, many different virtual ...

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IWSLT2022 - Low-resource Speech Translation Track: Tamasheq-French Parallel Corpus

Repository for sharing the data in the Tamasheq language, one of the languages for the low-resource speech translation track at IWSLT 2022.

Lulla

Learn African languages such as Bambara, Baoule, Tamasheq, Swahili and other languages quickly, fun and for free. Bambara (Dioula) | Baule | Yoruba | Wolof | Tamasheq | Swahili | Peul | Zulu | Fon | Bassa | Igbo | Xhosa Learn African languages with short, fun les...

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Multitran dictionary

A multilingual dictionary to search for words or phrases in a variety of African languages....

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NLLB-CLIP -- train performant multilingual image retrieval model on a budget

Today, the exponential rise of large models developed by academic and industrial institutions with the help of massive computing resources raises the question of whether someone without access to such resources can make a valuable scientific contribution. To explor...

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NLLB: No Language Left Behind

No Language Left Behind (NLLB) is a first-of-its-kind, AI breakthrough project that open-sources models capable of delivering high-quality translations directly between any pair of 200+ languages — including low-resource languages like Asturian, Luganda, Urdu and m...

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No Language Left Behind : Data

NLLB project uses data from three sources : public bitext, mined bitext and data generated using backtranslation. Details of different datasets used and open source links are provided in details here.

No Language Left Behind: Scaling Human-Centered Machine Translation

Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today. However, such efforts have coalesced around a small subset of languages, leaving behind the va...

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PanLex: Building a Resource for Panlingual Lexical Translation

PanLex, a project of The Long Now Foundation, aims to enable the translation of lexemes among all human languages in the world. By focusing on lexemic translations, rather than grammatical or corpus data, it achieves broader lexical and language coverage than relat...

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