O poprawności językowej tekstów generowanych przez SI na przykładzie ChatuGPT

Q3 Arts and Humanities LingVaria Pub Date : 2024-05-06 DOI:10.12797/lv.19.2024.37.08
R. Mazur
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Abstract

LANGUAGE ACCURACY OF TEXTS GENERATED BY AI: A CASE STUDY OF CHATGPT The article aims to assess the linguistic accuracy of texts generated by ChatGPT, based on queries that mirror the instructions found in the 2023 secondary school final exam in Polish language and literature. The analysis focused on identifying and classifying language errors and evaluating their frequency. The results of the analysis revealed a varied level of accuracy in AI-generated texts. Most errors occurred in texts containing more complex constructions, where correct formulation required a comprehensive understanding of grammatical rules. The conclusions drawn from the analysis offer insights into the limitations of AI, which users should be mindful of when editing texts using chatbots.
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以 ChatGPT 为例,论人工智能生成文本的语言正确性
人工智能生成文本的语言准确性:CHATGPT 案例研究 本文旨在评估 ChatGPT 生成的文本的语言准确性,这些文本是根据 2023 年中学期末考试波兰语言和文学考试说明中的查询而生成的。分析的重点是对语言错误进行识别和分类,并对其频率进行评估。分析结果显示,人工智能生成的文本的准确性水平参差不齐。大多数错误发生在包含较复杂结构的文本中,正确的表述需要对语法规则有全面的理解。通过分析得出的结论让我们了解到人工智能的局限性,用户在使用聊天机器人编辑文本时应注意这些局限性。
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来源期刊
LingVaria
LingVaria Social Sciences-Linguistics and Language
CiteScore
0.30
自引率
0.00%
发文量
18
期刊最新文献
Ile ojca, ile matki jest w polskiej ojczyźnie? Okazjonalność przymiotników temporalnych w języku polskim Investigating Predicate Types and Mood Selection in Polish Complement Clauses: An Empirical Study O poprawności językowej tekstów generowanych przez SI na przykładzie ChatuGPT Predykaty wyższego vs. pierwszego rzędu jako problem syntaktyczny
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