Paraphrasing tools, language translation tools and plagiarism: an exploratory study
| Autor: | Felicity M. Prentice, Clare E. Kinden |
|---|---|
| Přispěvatelé: | Prentice, Felicity M, Kinden, Clare E |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Vocabulary
Medical terminology Computer science media_common.quotation_subject Exploratory research Paraphrasing tools 0603 philosophy ethics and religion computer.software_genre Literal and figurative language Plagiarism lcsh:LB5-3640 Education Terminology medical terminology online language translation Language translation Online language translation media_common business.industry 05 social sciences 050301 education 06 humanities and the arts patchwriting lcsh:Theory and practice of education Word lists by frequency paraphrasing tools 060301 applied ethics Artificial intelligence Computational linguistics business plagiarism 0503 education computer Social Sciences (miscellaneous) Natural language processing Patchwriting |
| Zdroj: | International Journal for Educational Integrity, Vol 14, Iss 1, Pp 1-16 (2018) |
| Popis: | In a recent unit of study in an undergraduate Health Sciences pathway course, we identified a set of essays which exhibited similarity of content but demonstrated the use of bizarre and unidiomatic language. One of the distinct features of the essays was the inclusion of unusual synonyms in place of expected standard medical terminology. We suspected the use of online paraphrasing tools, but were also interested in investigating the possibility of the use of online language translation tools. In order to test the outputs of these tools, we used as a seed document a corpus of text which had been provided to the students as prompt for the essay. This document was put through six free online paraphrasing tools and six separate iterative language translations through the online Google Translate™ tool. The results demonstrated that free online paraphrasing tools did not identify medical terminology as standardised or accepted nomenclature and substituted synonyms, whereas Google Translate™ largely preserved medical terminology. We believe that textual indicators such as the absence of standard discipline-based terminology may be of assistance in the identification of machine paraphrased text. |
| Databáze: | OpenAIRE |
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