NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages

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dataset

Créateur:

fraHaiAbhJAN

Éditeur:

Eur

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AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages

Text embeddings are an essential building component of several NLP tasks such as retrieval-augmented

Lugha-Llama: Adapting Large Language Models for African Languages

Large language models (LLMs) have achieved impressive results in a wide range of natural language ap

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

There has been a surge in LLM evaluation research to understand LLM capabilities and limitations. Ho

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

Subword Segmental Language Modelling for Nguni Languages

Subword Segmental Language Modelling for Nguni Languages

Poster presented at the Deep Learning Indaba 2022 by Jan Buys

Benchmarking Automatic Speech Recognition Models for African Languages

Automatic speech recognition (ASR) for African languages remains constrained by limited labeled data

NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages

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Visit

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