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Nsanku: Evaluating zero-shot performance of LLMs for Ghanaian languages

Domain:

natural language processing

Record type:

project
Creator:
Ghana NLP

Nsanku

A project by Ghana NLP to test the machine translation performance of Large Language Models (LLMs) on Ghanaian languages.

Project Overview

Nsanku is an initiative that evaluates how well various open-source language models perform when working with Ghanaian languages. We have evaluated the performance of over 14 open-source and closed models across 43 languages, using at least 300 sentences per language. Paper publication coming soon.

Why Nsanku Matters

As AI engineers work to bring Ghanaian languages into large language models, it’s essential to have reliable evidence on how existing models perform. Nsanku provides insights that help developers identify which LLMs are most suitable for use in translating content in Ghanaian languages, and which languages currently have stronger or weaker support.

Visit

github.comlinkedln announcement

Tasks

machine translation

Languages

AbronAkanAnufoAnyinAvatimeBimobaBirifor, MalbaBirifor, SouthernBisaBisã+34

Tags

ghana nlpmodel evaluation

Licenses

https://github.com/GhanaNLP/nsanku?tab=readme-ov-file#license

Similar

Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages

Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages

Large language models (LLMs) have demonstrated impressive multilingual capabilities for well-resourc