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Register alignment of ChatGPT-generated academic texts
Nur Yağmur Demir
,
Jesse Egbert
English
Research output
:
Contribution to journal
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Article
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peer-review
2
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Arts and Humanities
Artificial Intelligence
100%
Life Science
75%
Appropriateness
50%
Language use
25%
Genre
25%
Linguistics
25%
Discourse
25%
Multidimensional Analysis
25%
Situational
25%
Linguistic Analysis
25%
Language assessment
25%
Authors
25%
Quantitative linguistics
25%
Language Pedagogy
25%
Style
25%
Keyphrases
Academic Texts
100%
Chat Generative Pre-trained Transformer (ChatGPT)
100%
Artificial Intelligence
37%
Language Use
12%
Multidimensional Analysis
12%
Situational Characteristics
12%
Linguistic Dimension
12%
Information Density
12%
Fluency
12%
Language Pedagogy
12%
Academic Genre
12%
Classroom Materials
12%
Content Creation
12%
Artificial Intelligence Tools
12%
Human-like
12%
Article Writing
12%
Definition Evaluation
12%
Human-likeness
12%
Quantitative Linguistic Analysis
12%
Language Assessment
12%
User-generated Text
12%
Social Sciences
ChatGPT
100%
Artificial Intelligence
50%
Journal Article
50%
Life Science
37%
Educational Sciences
12%
Linguistic Research
12%
Dimensional Analysis
12%
Linguistics
12%
Specialized Information
12%
Discourse
12%
Authors
12%