Add to ORKGPlagiarism detection is a challenge for linguistic models — most current implemented models use simple occurrence statistics for linguistic items. In this paper we report two experiments related to plagiarism detection where we use a model for distributional semantics and of sentence stylistics to compare sentence by sentence the likelihood of a text being partly plagiarised. The result of the comparison are displayed for visual inspection by a plagiarism assessor
We propose and experimentally assess Semantic Word Error Rate (SWER), an innovative similarity measu...
In this paper we are going to review and list the advantages and limitations of the significant effe...
This study investigates plagiarism detection, with an application in forensic contexts. Two types of...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
To plagiarise is to robe credit of another person's work. Particularly, plagiarism in text means inc...
Ever since we entered the digital communication era, the ease of information sharing through the int...
We perform experiments that shows whether or not two linguistic features are good indicators to be u...
This paper is a usability study of a plagiarism search method proposed by Csernoch Mária at the II. ...
This paper reports on preliminary steps to create an external plagiarism detection tool. I used the ...
The paper describes an approach to plagiarism detection within Plag-EvalRus-2017 competition. Our sy...
Plagiarism can be of many different natures, ranging from copying texts to adopting ideas, without g...
Various approaches for plagiarism detection exist. All are based on more or less sophisticated text ...
Most of the existing plagiarism detection systems compare a text to a database of other texts. These...
Automatic plagiarism detection tools have evolved considerably in recent years. Owing in part to the...
Abstract: The task of intrinsic plagiarism detection is to find plagiarized sections within text doc...
We propose and experimentally assess Semantic Word Error Rate (SWER), an innovative similarity measu...
In this paper we are going to review and list the advantages and limitations of the significant effe...
This study investigates plagiarism detection, with an application in forensic contexts. Two types of...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
To plagiarise is to robe credit of another person's work. Particularly, plagiarism in text means inc...
Ever since we entered the digital communication era, the ease of information sharing through the int...
We perform experiments that shows whether or not two linguistic features are good indicators to be u...
This paper is a usability study of a plagiarism search method proposed by Csernoch Mária at the II. ...
This paper reports on preliminary steps to create an external plagiarism detection tool. I used the ...
The paper describes an approach to plagiarism detection within Plag-EvalRus-2017 competition. Our sy...
Plagiarism can be of many different natures, ranging from copying texts to adopting ideas, without g...
Various approaches for plagiarism detection exist. All are based on more or less sophisticated text ...
Most of the existing plagiarism detection systems compare a text to a database of other texts. These...
Automatic plagiarism detection tools have evolved considerably in recent years. Owing in part to the...
Abstract: The task of intrinsic plagiarism detection is to find plagiarized sections within text doc...
We propose and experimentally assess Semantic Word Error Rate (SWER), an innovative similarity measu...
In this paper we are going to review and list the advantages and limitations of the significant effe...
This study investigates plagiarism detection, with an application in forensic contexts. Two types of...