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GCC AI Research

Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models

arXiv · · Notable

NLP LLM Arabic AI Research Product

Summary

This paper evaluates the performance of GPT-3.5 and GPT-4 on seven Arabic NLP tasks including sentiment analysis, translation, and diacritization. GPT-4 outperforms GPT-3.5 on most tasks. The study provides an analysis of sentiment analysis and introduces a Python interface, Taqyim, for evaluating Arabic NLP tasks. Why it matters: The evaluation of LLMs on Arabic NLP tasks helps to identify strengths and weaknesses, guiding future research and development efforts in the field.

Keywords

Arabic NLP · LLM evaluation · GPT-3.5 · GPT-4 · sentiment analysis

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