preprintarXiv (Cornell University)Feb 18, 2023GREEN OA

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

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Abstract

Generative Pre-trained Transformer (GPT) models have shown remarkable capabilities for natural language generation, but their performance for machine translation has not been thoroughly investigated. In this paper, we present a comprehensive evaluation of GPT models for machine translation, covering various aspects such as quality of different GPT models in comparison with state-of-the-art research and commercial systems, effect of prompting strategies, robustness towards domain shifts and document-level translation. We experiment with eighteen different translation directions involving high and low resource languages, as well as non English-centric translations, and evaluate the performance of three GPT…

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Authors

9

Topics & keywords

Keywords
  • Computer science
  • Machine translation
  • Robustness (evolution)
  • Artificial intelligence
  • Translation (biology)
  • Transformer
  • Generative grammar
  • Machine learning
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