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Direct linkWallwork, Adrian – Springer, 2023
This guide draws on English-related errors from around 6000 papers written by non-native authors, 500 abstracts written by PhD students, and over 2000 hours of teaching researchers how to write and present research papers. This new edition has chapters on exploiting AI tools such as ChatGPT, Google Translate, and Reverso, for generating,…
Descriptors: English for Academic Purposes, Research, Grammar, Language Usage
Peer reviewedHull, Glynda; And Others – Computers and the Humanities, 1987
Examines the use of computers for error detection in natural language texts. Focuses on a computer program designed to teach students to edit their papers for errors using pattern matching in error detection. Describes a "pedagogy for editing" and speculates on ways to improve computer detection of errors in natural language texts. (AEM)
Descriptors: Computer Assisted Instruction, Courseware, Editing, Educational Technology
