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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...

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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 grammar of Pichi

Pichi is an Afro-Caribbean English-lexifier Creole spoken on the island of Bioko, Equatorial Guinea. It is an offshoot of 19th century Krio (Sierra Leone) and shares many characteristics with West African relatives like Nigerian Pidgin, Cameroon Pidgin, and Ghanaia...

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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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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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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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Ancestor-to-Creole Transfer is Not a Walk in the Park

We aim to learn language models for Creole languages for which large volumes of data are not readily available, and therefore explore the potential transfer from ancestor languages (the 'Ancestry Transfer Hypothesis'). We find that standard transfer methods do not ...

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ASR-Nigeria-Pidgin

This is the official repository that contains the impementation of an Automatic Speech Recognition system from Nigerian Pidgin to English.

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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