Plagiarism Detection Techniques for Arabic Script Languages: A Literature Review

Plagiarism is generally defined as literary theft and academic dishonesty. This considered as the serious issue in an academic documents and texts. There are numerous of plagiarism detection techniques have been developed for various natural languages, mainly English. In this paper we investigate and review the plagiarism detection techniques and algorithms which have been developed for Arabic Script Languages (ASL), and providing a literature review of the utilized methods in terms of techniques and outcomes.  The result of this paper will help the researchers who are going to commence their development and extend their researches in ASL like Arabic, Persian, Urdu, and Kurdish

Overview of the PAN/CLEF 2015 Evaluation Lab

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24027-5_49This paper presents an overview of the PAN/CLEF evaluation lab. During the last decade, PAN has been established as the main forum of text mining research focusing on the identification of personal traits of authors left behind in texts unintentionally. PAN 2015 comprises three tasks: plagiarism detection, author identification and author profiling studying important variations of these problems. In plagiarism detection, community-driven corpus construction is introduced as a new way of developing evaluation resources with diversity. In author identification, cross-topic and cross-genre author verification (where the texts of known and unknown authorship do not match in topic and/or genre) is introduced. A new corpus was built for this challenging, yet realistic, task covering four languages. In author profiling, in addition to usual author demographics, such as gender and age, five personality traits are introduced (openness, conscientiousness, extraversion, agreeableness, and neuroticism) and a new corpus of Twitter messages covering four languages was developed. In total, 53 teams participated in all three tasks of PAN 2015 and, following the practice of previous editions, software submissions were required and evaluated within the TIRA experimentation framework.Stamatatos, E.; Potthast, M.; Rangel, F.; Rosso, P.; Stein, B. (2015). Overview of the PAN/CLEF 2015 Evaluation Lab. En Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings. 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In: Proceedings of COLING 2008 (2008)Maharjan, S., Shrestha, P., Solorio, T., Hasan, R.: A straightforward author profiling approach in mapreduce. In: Bazzan, A.L.C., Pichara, K. (eds.) IBERAMIA 2014. LNCS, vol. 8864, pp. 95–107. Springer, Heidelberg (2014)Mairesse, F., Walker, M.A., Mehl, M.R., Moore, R.K.: Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text. Journal of Artificial Intelligence Research 30(1), 457–500 (2007)Eissen, S.M., Stein, B.: Intrinsic plagiarism detection. In: Lalmas, M., MacFarlane, A., Rüger, S.M., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds.) ECIR 2006. LNCS, vol. 3936, pp. 565–569. Springer, Heidelberg (2006)Mohammadi, G., Vinciarelli, A.: Automatic personality perception: Prediction of Trait Attribution Based on Prosodic Features. IEEE Transactions on Affective Computing 3(3), 273–284 (2012)Moreau, E., Jayapal, A., Lynch, G., Vogel, C.: Author verification: basic stacked generalization applied to predictions from a set of heterogeneous learners. In: CLEF 2015 Working Notes. CEUR (2015)Nguyen, D., Gravel, R., Trieschnigg, D., Meder, T.: “How old do you think I am?”; a study of language and age in twitter. In: Proceedings of ICWSM 2013. AAAI (2013)Oberlander, J., Nowson, S.: Whose thumb is it anyway?: classifying author personality from weblog text. In: Proceedings of COLING 2006. ACL (2006)Peñas, A., Rodrigo, A.: A simple measure to assess non-response. In: Proceedings of HLT 2011. ACL (2011)Pennebaker, J.W., Mehl, M.R., Niederhoffer, K.G.: Psychological Aspects of Natural Language Use: Our Words. Our Selves. Annual Review of Psychology 54(1), 547–577 (2003)Potthast, M., Barrón-Cedeño, A., Eiselt, A., Stein, B., Rosso, P.: Overview of the 2nd international competition on plagiarism detection. In: CLEF 2010 Working Notes. CEUR (2010)Potthast, M., Barrón-Cedeño, A., Stein, B., Rosso, P.: Cross-Language Plagiarism Detection. Language Resources and Evaluation (LRE) 45, 45–62 (2011)Potthast, M., Eiselt, A., Barrón-Cedeño, A., Stein, B., Rosso, P.: Overview of the 3rd international competition on plagiarism detection. In: CLEF 2011 Working Notes (2011)Potthast, M., Gollub, T., Hagen, M., Graßegger, J., Kiesel, J., Michel, M., Oberländer, A., Tippmann, M., Barrón-Cedeño, A., Gupta, P., Rosso, P., Stein, B.: Overview of the 4th international competition on plagiarism detection. In: CLEF 2012 Working Notes. CEUR (2012)Potthast, M., Gollub, T., Hagen, M., Tippmann, M., Kiesel, J., Rosso, P., Stamatatos, E., Stein, B.: Overview of the 5th international competition on plagiarism detection. In: CLEF 2013 Working Notes. CEUR (2013)Potthast, M., Gollub, T., Rangel, F., Rosso, P., Stamatatos, E., Stein, B.: Improving the reproducibility of PAN’s shared tasks: plagiarism detection, author identification, and author profiling. In: Kanoulas, E., Lupu, M., Clough, P., Sanderson, M., Hall, M., Hanbury, A., Toms, E. (eds.) CLEF 2014. LNCS, vol. 8685, pp. 268–299. Springer, Heidelberg (2014)Potthast, M., Hagen, M., Beyer, A., Busse, M., Tippmann, M., Rosso, P., Stein, B.: Overview of the 6th international competition on plagiarism detection. In: CLEF 2014 Working Notes. CEUR (2014)Potthast, M., Göring, S., Rosso, P., Stein, B.: Towards data submissions for shared tasks: first experiences for the task of text alignment. In: CLEF 2015 Working Notes. CEUR (2015)Potthast, M., Hagen, M., Stein, B., Graßegger, J., Michel, M., Tippmann, M., Welsch, C.: ChatNoir: a search engine for the clueweb09 corpus. In: Proceedings of SIGIR 2012. ACM (2012)Potthast, M., Hagen, M., Völske, M., Stein, B.: Crowdsourcing interaction logs to understand text reuse from the web. In: Proceedings of ACL 2013. ACL (2013)Potthast, M., Stein, B., Barrón-Cedeño, A., Rosso, P.: An evaluation framework for plagiarism detection. In: Proceedings of COLING 2010. ACL (2010)Potthast, M., Stein, B., Eiselt, A., Barrón-Cedeño, A., Rosso, P.: Overview of the 1st international competition on plagiarism detection. In: Proceedings of PAN at SEPLN 2009. CEUR (2009)Quercia, D., Lambiotte, R., Stillwell, D., Kosinski, M., Crowcroft, J.: The personality of popular facebook users. In: Proceedings of CSCW 2012. ACM (2012)Rammstedt, B., John, O.: Measuring Personality in One Minute or Less: A 10 Item Short Version of the Big Five Inventory in English and German. Journal of Research in Personality (2007)Rangel, F., Rosso, P.: On the impact of emotions on author profiling. 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Detecting Internet visual plagiarism in higher education photography with Google™ Search by Image : proposed upload methods and system evaluation

Thesis (M. Tech. (Design and Studio Art)) - Central University of Technology, Free State, 2014The Information Age has presented those in the discipline of photography with very many advantages. Digital photographers enjoy all the perquisites of convenience while still producing high-quality images. Lecturers find themselves the authorities of increasingly archaic knowledge in a perpetual race to keep up with technology. When inspiration becomes imitation and visual plagiarism occurs, lecturers may find themselves at a loss for taking action as content-based image retrieval systems, like Google™ Search by Image (SBI), have not yet been systematically tested for the detection of visual plagiarism. Currently there exists no efficacious method available to photography lecturers in higher education for detecting visual plagiarism. As such, the aim of this study is to ascertain the most effective uploading methods and precision of the Google™ SBI system which lecturers can use to establish a systematic workflow that will combat visual plagiarism in photography programmes. Images were selected from the Google™ Images database by means of random sampling and uploaded to Google™ SBI to determine if the system can match the images to their Internet source. Each of the images received a black and white conversion, a contrast adjustment and a hue shift to ascertain whether the system can also match altered images. Composite images were compiled to establish whether the system can detect images from the salient feature. Results were recorded and the precision values calculated to determine the system’s success rate and accuracy. The results were favourable and 93.25% of the adjusted images retrieved results with a precision value of 0.96. The composite images had a success rate of 80% when uploaded intact with no dissections and a perfect precision value of 1.00. Google™ SBI can successfully be used by the photography lecturer as a functional visual plagiarism detection system to match images unethically appropriated by students from the Internet

Towards Consistency and Transparency in Academic Integrity

This book is an outcome of the 4th International Conference «Plagiarism across Europe and Beyond» organized by Canakkale Onsekiz Mart University, Mendel University in Brno, and the European Network for Academic Integrity. The conference is co-funded by the Erasmus+ Strategic Partnerships Programme of the European Union. It aims to be a forum for sharing best practices and experiences by addressing issues of academic integrity from a wide-scope global perspective. With regards to the crucial role of ethics and honesty in academic work, universities are in need of more effective policies against infringements of academic standards. The papers in this book therefore aim to contribute to the standardization of consistent and transparent approaches to issues of academic integrity from several perspectives

Temporal resolution abilities of individuals with and without diabetes mellitus type 11 with normal pure tone threshold

Diabetes is one of the most prominent health emergencies of the 21st century, affecting millions of people worldwide. An estimate of 415 million individuals had diabetes in 2015, with more than 10% of those individuals living in the Sub-Saharan Africa region. Diabetes is classified according to aetiology. Diabetes mellitus type II accounts for more than 90% of cases. Since the disease is initially asymptomatic, 30% to 85% of cases remaining undiagnosed. Due to this delay in diagnosis approximately 20% of the individuals will have developed secondary complications. Auditory complications are often associated with diabetes; however, the extent and nature of these auditory manifestations are still unknown. The main aim of this study was to determine and compare the temporal resolution abilities of adults with diabetes mellitus type II with normal pure tone thresholds to the findings of healthy age and gender matched controls without diabetes mellitus type II. A descriptive between-group comparative research design was utilized in this study. Purposive convenience sampling was employed to recruit individuals with and without diabetes mellitus type II. Fifty-six age and gender-matched participants (28 diabetic, 28 non-diabetic) between the ages of 20 to 60 years participated in the study. Pure tone audiometry was used to determine hearing thresholds while temporal resolution abilities, specifically the gap detection threshold, were determined using the GIN test and the RGDT. Psychometric functions were also constructed to determine differences between the two participant groups in terms of gap detection threshold as a function of gap duration (GIN test). A statistically significant difference of p<0.001 was obtained for the mean gap detection threshold between the two groups for the GIN test. No significant differences were obtained for the total percentage correct scores between the two groups. Results for the RGDT regarding the arithmetic mean gap detection thresholds indicated no statistically significant difference (p=0.101) between the diabetic group and the non-diabetic group at all test frequencies. Finally, psychometric functions constructed for the participant groups with and without diabetes type II revealed that the gap durations that best distinguish the two groups are 5, 6 and 7 ms Evidence of the present study suggests a strong association between diabetes mellitus type II and temporal resolution abilities (gap detection threshold). As temporal resolution is closely linked to speech in noise, more studies are needed in this regard.Dissertation (MA)--University of Pretoria, 2019.Speech-Language Pathology and AudiologyMAUnrestricte

Secure digital documents using Steganography and QR Code

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University LondonWith the increasing use of the Internet several problems have arisen regarding the processing of electronic documents. These include content filtering, content retrieval/search. Moreover, document security has taken a centre stage including copyright protection, broadcast monitoring etc. There is an acute need of an effective tool which can find the identity, location and the time when the document was created so that it can be determined whether or not the contents of the document were tampered with after creation. Owing the sensitivity of the large amounts of data which is processed on a daily basis, verifying the authenticity and integrity of a document is more important now than it ever was. Unsurprisingly document authenticity verification has become the centre of attention in the world of research. Consequently, this research is concerned with creating a tool which deals with the above problem. This research proposes the use of a Quick Response Code as a message carrier for Text Key-print. The Text Key-print is a novel method which employs the basic element of the language (i.e. Characters of the alphabet) in order to achieve authenticity of electronic documents through the transformation of its physical structure into a logical structured relationship. The resultant dimensional matrix is then converted into a binary stream and encapsulated with a serial number or URL inside a Quick response Code (QR code) to form a digital fingerprint mark. For hiding a QR code, two image steganography techniques were developed based upon the spatial and the transform domains. In the spatial domain, three methods were proposed and implemented based on the least significant bit insertion technique and the use of pseudorandom number generator to scatter the message into a set of arbitrary pixels. These methods utilise the three colour channels in the images based on the RGB model based in order to embed one, two or three bits per the eight bit channel which results in three different hiding capacities. The second technique is an adaptive approach in transforming domain where a threshold value is calculated under a predefined location for embedding in order to identify the embedding strength of the embedding technique. The quality of the generated stego images was evaluated using both objective (PSNR) and Subjective (DSCQS) methods to ensure the reliability of our proposed methods. The experimental results revealed that PSNR is not a strong indicator of the perceived stego image quality, but not a bad interpreter also of the actual quality of stego images. Since the visual difference between the cover and the stego image must be absolutely imperceptible to the human visual system, it was logically convenient to ask human observers with different qualifications and experience in the field of image processing to evaluate the perceived quality of the cover and the stego image. Thus, the subjective responses were analysed using statistical measurements to describe the distribution of the scores given by the assessors. Thus, the proposed scheme presents an alternative approach to protect digital documents rather than the traditional techniques of digital signature and watermarking

Traumatic brain injury, post-traumatic stress disorder symptom reporting and attentional bias: unravelling the misidentification of post-traumatic stress disorder in people with a traumatic brain injury

Background: Post-traumatic stress disorder (PTSD) can occur following a traumatic event that has led to moderate to severe traumatic brain injury (TBI) even when there is little or no memory for the event. The incidence of PTSD is higher when diagnosed by self-report questionnaires compared to structured clinical interview. Previous studies suggest PTSD can be misdiagnosed in a significant proportion of cases and the incidence is in fact low. To explore this issue further there is a need to not only understand whether there are differences between cases that do and do not fulfill symptom criteria for PTSD, but also whether some cases have ‘partial PTSD’; that is to say they have PTSD symptoms but do not fulfill the DSM-IV symptom criteria exactly. Aims: The study aims to establish whether an attentional bias to trauma related words exists in people with TBI who report PTSD symptoms and to investigate the relationship between physiological arousal and attentional bias in people with a TBI reporting PTSD symptoms. Method: Forty-one participants with severe-extremely severe TBI were recruited from the community and completed measures of cognitive functioning. Attentional bias was measured using a Stroop task in which trauma, negative, neutral and positive words were administered randomly. Physiological reactivity (heart rate) was recorded and PTSD ‘caseness’ was established using a self-report questionnaire and a clinician-administered structured interview. Results: No significant relationship between PTSD symptom severities and attentional bias to trauma stimuli was apparent. Those with ‘PTSD’ demonstrated significantly slower reaction times to negative words however; this bias was associated with self-report of depression rather than PTSD symptomatology. Heart rate decreased throughout the interview and was not associated with PTSD symptom severities. Conclusions: Greater PTSD symptom reporting was not associated with an attentional bias to trauma words. Heart rate decreased over the course of the interview, independent of PTSD severity and diagnosis. This suggests that ‘partial’ PTSD was not present, and instead those who reported PTSD symptoms were curious about the gap in memory caused by amnesia without the associated fear response

Selective auditory attention and speech-in-noise perception in English second language learners

Dissertation (MA (Speech-Language Pathology and Audiology))--University of Pretoria, 2021.Abstract Background: Selective auditory attention and speech-in-noise perception are key skills required by school-aged children for the development of academic skills that will ensure overall learning success in a school context. These skills are indispensable for English second language (ESL) learners to achieve successful academic learning, as their learning takes place through an additional language. Second language acquisition is influenced by several factors pertaining to auditory processing skills, such as age of onset of acquisition and age of exposure to an additional language. As yet no studies have investigated the selective auditory attention abilities and speech-in-noise perception of young ESL learners in a multilingual country such as South Africa. Aim: To determine the selective auditory attention abilities and speech-in-noise perception of seven-to-eight-year-old ESL learners in a multilingual country and compare their results to those of English first language (EFL) learners of the same age. Method: A quantitative, descriptive, comparative cross-sectional research design was used to determine the selective auditory attention abilities and speech-in-noise perception skills of 40 children with normal hearing in first or second grade (aged seven-to-eight-years). The control group comprised 20 EFL learners (mean age 7.35 years ± 0.49) and the research group included 20 second language learners (mean age 7.70 years ± 0.47). The researcher also compared the control and research groups with regard to the age of exposure to English through various sources. The Mann Whitney test was used for this comparison. Information regarding the age of exposure was gathered by means of a case history questionnaire which was completed by the parents/guardians of the participants. The Selective Auditory Attention Test (SAAT) and Digits-in-Noise (DIN) test were performed in one sitting. Results: No statistically significant differences between the EFL and ESL groups were found for the SAAT and DIN. However, a statistically significant difference was obtained between the SAAT lists 1 and 3 and the DIN: diotic listening condition for the ESL group only (rs= -0.623; p=0.003). The difference in the mean age of exposure to English between the EFL and ESL groups was statistically significant (p=0,019), with mean age of exposure to English in the ESL group (mean = 2.82 ± 0.53) being higher than the mean age of exposure in the EFL group (mean = 1.81 ± 1.53). However, the latter did not influence the results of the SAAT and DIN significantly. Conclusion: The main finding was that selective auditory attention and speech-in-noise perception were not significantly affected in the ESL learners who participated in the study – learners who were recruited from private schools located in an urban area and thus from higher socio-economic status (SES) households. This points to the possibility of additional or alternative factors that influence the acquisition of auditory processing skills of ESL learners in the multilingual South African context. There is a need for additional research with a larger sample size to determine the selective auditory attention abilities and speech-in-noise perception skills of ESL learners in government funded schools and from various socio-economic backgrounds.NRFSpeech-Language Pathology and AudiologyMA AudiologyUnrestricte