1 |
The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies.
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03230287 ; 2021 (2021)
|
|
BASE
|
|
Show details
|
|
2 |
The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies
|
|
|
|
BASE
|
|
Show details
|
|
4 |
As implicações linguísticas da identidade = The linguistic implications of identity
|
|
|
|
BASE
|
|
Show details
|
|
5 |
The dawn of the human-machine era: a forecast of new and emerging language technologies
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Assuming identities online: Authorship synthesis in undercover investigations
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Da "intimidação intencional" aos "ciúmes excessivos": uma análise linguística forense das Fichas de Avaliação de Risco
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Computational forensic linguistics: an overview of computational applications in forensic contexts
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Carter, R. & Goddard, A. (2015) How to analyse texts: a toolkit for students of English [Recensão]
|
|
|
|
BASE
|
|
Show details
|
|
16 |
‘Reporter fired for plagiarism’: a forensic linguistic analysis of news plagiarism ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Reporter fired for plagiarism : a forensic linguistic analysis of news plagiarism
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Detecting Translingual Plagiarism And The Backlash Against Translation Plagiarists ...
|
|
|
|
Abstract:
Plagiarism detection methods have improved signi cantly over the last decades, and as a result of the advanced research conducted by computa- tional and mostly forensic linguists, simple and sophisticated textual borrowing strategies can now be identi ed more easily. In particular, simple text compari- son algorithms developed by computational linguists allow literal, word-for-word plagiarism (i.e. where identical strings of text are reused across di erent docu- ments) to be easily detected (semi-)automatically (e.g. Turnitin or SafeAssign), although these methods tend to perform less well when the borrowing is obfus- cated by introducing edits to the original text. In this case, more sophisticated linguistic techniques, such as an analysis of lexical overlap (Johnson, 1997), are required to detect the borrowing. However, these have limited applicability in cases of ‘translingual’ plagiarism, where a text is translated and borrowed with- out acknowledgment from an original in another language. Considering ...
|
|
Keyword:
Translingual, plagiarism, translation, detection, forensic linguistics, computational.
|
|
URL: https://dx.doi.org/10.5281/zenodo.47258 https://zenodo.org/record/47258
|
|
BASE
|
|
Hide details
|
|
19 |
Detecting translingual plagiarism and the backlash against translation plagiarists
|
|
|
|
BASE
|
|
Show details
|
|
|
|