Summary of Benchmarking Gpt-4 Against Human Translators: a Comprehensive Evaluation Across Languages, Domains, and Expertise Levels, by Jianhao Yan et al.
Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels
by Jianhao Yan, Pingchuan Yan, Yulong Chen, Jing Li, Xianchao Zhu, Yue Zhang
First submitted to arxiv on: 21 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper evaluates the language translation abilities of GPT-4 compared to human translators with varying expertise levels. The study assesses translations in three language pairs (Chinese-English, Russian-English, and Chinese-Hindi) across three domains (News, Technology, and Biomedical). Results show that GPT-4 performs similarly to junior-level human translators in terms of total errors, but lags behind senior translators. Unlike traditional Neural Machine Translation systems, GPT-4 maintains consistent translation quality across all evaluated language pairs. The study also identifies patterns in translation approaches: GPT-4 tends towards literal translations and exhibits lexical inconsistency, while human translators sometimes over-interpret context and introduce hallucinations. This comprehensive comparison provides valuable insights into the capabilities and limitations of LLM-based translation systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper compares a new AI model called GPT-4 to human translators who are good or not so good at translating languages. The study looks at how well both can translate three types of texts (news, tech, and medical) from Chinese into English, Russian into English, and Chinese into Hindi. The results show that the AI is as good as a junior-level human translator in many ways, but not as good as an experienced translator. The study also found that the AI makes some consistent mistakes when translating words and phrases, while humans sometimes make up new information or interpret things incorrectly. This research helps us understand how well AI models like GPT-4 can translate languages and what they are good at. |
Keywords
» Artificial intelligence » Gpt » Translation
