200 research outputs found

    Analogical mapping in numerical development

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    This chapter outlines the contribution of analogical thinking in numerical cognition and specifically, to number words learning and numerical estimation. We begin with an overview of number word learning, followed by a description of analogical mapping as defined by Gentner (1983, 2010), and discuss how children might acquire the meaning of counting based on analogical mapping. Next, we review the claim that very similar processes of analogical mapping may support numerical estimation, based on findings from studies of dot-array and number line estimation. These studies suggest that children’s knowledge of how the count list is structured – and in particular the ordering and distance between numbers – affects their ability to make accurate estimates. Finally, we discuss extensions of this idea to other cases where analogy has been proposed as a source of representational change. We conclude that analogical mappings enrich how humans transcend core numerical abilities to represent abstract content

    Analogical mapping in numerical development

    No full text
    This chapter outlines the contribution of analogical thinking in numerical cognition and specifically, to number words learning and numerical estimation. We begin with an overview of number word learning, followed by a description of analogical mapping as defined by Gentner (1983, 2010), and discuss how children might acquire the meaning of counting based on analogical mapping. Next, we review the claim that very similar processes of analogical mapping may support numerical estimation, based on findings from studies of dot-array and number line estimation. These studies suggest that children’s knowledge of how the count list is structured – and in particular the ordering and distance between numbers – affects their ability to make accurate estimates. Finally, we discuss extensions of this idea to other cases where analogy has been proposed as a source of representational change. We conclude that analogical mappings enrich how humans transcend core numerical abilities to represent abstract content

    English language teaching in Iran and communicative language teaching

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    This is a study to investigate English Language Teaching (ELT) in Iran as well as the extent of its compatibility with communicative pedagogy. It has been accepted that language is more than a simple system of rules. Language is now generally seen as a dynamic resource for the creation of meaning. According to the advocates of Communicative Language Teaching (CLT), it is generally accepted that there is a need to distinguish between learning that and knowing how. In other words, there must be a distinction between knowing various grammatical rules and being able to use the rules effectively and appropriately when communicating. In 2007, the first Iranian national curriculum for teaching foreign languages was being developed by a team who was working under the supervision of the Ministry of Education based on CLT. Considering the extent of compatibility of the curriculum with CLT was felt to be important in evaluating the degree of success in achieving the goals of CLT. There were also efforts taken into consideration in order to consider the ELT in Iran from other perspectives. To do so, since the current programme and textbooks had been designed prior to introducing the new curriculum; therefore, it was felt necessary to consider them as well. In order to investigate the situation, varieties of research instruments were applied in order to collect valid and reliable data. These instruments were mainly composed of a review of literature, a desk based analysis of the curriculum, administering questionnaires as well as conducting interview sessions. The questionnaires were mainly distributed among English language teachers and the interviews were conducted with some authors of the curriculum, textbooks and English language teachers. The analysis and interpretation of the collected data suggested that while the newly designed curriculum document is to a great extent compatible with communicative pedagogy, the materials being used by teachers, as well as the current ELT programme, are mainly structurally based and cannot be considered as communicative. The thesis goes on to discuss some of the implications of these findings both for ELT in Iran and for future research

    Managing an Effective English Language Laboratory in a Polytechnic

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    Polytechnic graduates are required to have applied skills as well as communication skills in English. In most of the polytechnics in Indonesia, English courses are served as compulsory courses for students and in some institutions language laboratories are established in order to support their students. To run an effective language laboratory there are, at least four aspects that need to be considered, namely lab facilities, standard operating rules, students, and lab coordinators. Of all the agents, lab coordinators are classified as internal factors that can easily be empowered by the institutions in the management of the language lab. This paper aims to discuss leadership and management roles in improving an English Language Laboratory. The discussions are based on literature reviews, personal experiences and observations gained by the author whilst working at Politeknik Negeri Lhokseumawe for the last decade plus perceptions of teachers and administrators who have worked in the lab. Regarding the leadership and management in the language laboratory there are four items that should be improved: management of leadership, professional development, rewards, and the concept of educational management

    Development of TOEFL Apps (El-Lab) during Pandemic Era in the Language Laboratory of Ma'arif Islamic Institute (IAIM) NU Metro -Lampung

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    The aims of the research develop TOEFL apps to change the offline to the online system because pandemic era, the online system is not only in TOEFL Test but also in the service of language laboratory of IAIMNU Metro that changes from offline system to online system. Changing the offline system to an online system is certainly not an easy thing for language laboratory officers, because from the registration system to the test system must be held in the online form. the use of technological advances needs to be carried out by language laboratory officers from registration, participant data collection, tutorial scheduling, tutorial systems and TOEFL test. In this study, the authors consider the affective domain phenomenon in language learning. The author uses a qualitative approach to investigate and analyze the results of student interviews which are the influence of two languages on student performance at the Islamic Institute of Islamic Studies Ma'arif NU Metro. In qualitative research, discussion about participation and research location. The research methodology used by the researcher is descriptive qualitative research because this research requires the development of English material.  the development model can be developed on three models: procedural, conceptual, and theoretical. The result of this research is the convenience for test participants and also the TOEFL tutorial at IAIMNU Metro, marked with students can feel fast and also the design of the apps is quite easy to understand

    Chinese and English Infants’ Tone Perception: Evidence for Perceptual Reorganization.

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    Over half the world’s population speaks a tone language, yet infant speech perception research has typically focused on consonants and vowels. Very young infants can discriminate a wide range of native and nonnative consonants and vowels, and then in a process of perceptual reorganization over the 1st year, discrimination of most nonnative speech sounds deteriorates. We investigated perceptual reorganization for tones by testing 6- and 9-month-old infants from tone (Chinese) and nontone (English) language environments for speech (lexical tone) and nonspeech (violin sound) tone discrimination in both cross-sectional and longitudinal studies. Overall, Chinese infants performed equally well at 6 and 9 months for both speech and nonspeech tone discrimination. Conversely, English infants’ discrimination of lexical tone declined between 6 and 9 months of age, whereas their nonspeech tone discrimination remained constant. These results indicate that the reorganization of tone perception is a function of the native language environment, and that this reorganization is linguistically based

    Axon guidance pathways served as common targets for human speech/language evolution and related disorders

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    Human and several nonhuman species share the rare ability of modifying acoustic and/or syntactic features of sounds produced, i.e. vocal learning, which is the important neurobiological and behavioral substrate of human speech/language. This convergent trait was suggested to be associated with significant genomic convergence and best manifested at the ROBO-SLIT axon guidance pathway. Here we verified the significance of such genomic convergence and assessed its functional relevance to human speech/language using human genetic variation data. In normal human populations, we found the affected amino acid sites were well fixed and accompanied with significantly more associated protein-coding SNPs in the same genes than the rest genes. Diseased individuals with speech/language disorders have significant more low frequency protein coding SNPs but they preferentially occurred outside the affected genes. Such patients' SNPs were enriched in several functional categories including two axon guidance pathways (mediated by netrin and semaphorin) that interact with ROBO-SLITs. Four of the six patients have homozygous missense SNPs on PRAME gene family, one youngest gene family in human lineage, which possibly acts upon retinoic acid receptor signaling, similarly as FOXP2, to modulate axon guidance. Taken together, we suggest the axon guidance pathways (e.g. ROBO-SLIT, PRAME gene family) served as common targets for human speech/language evolution and related disorders. (C) 2017 Elsevier Inc. All rights reserved.National Natural Science Foundation of China [31171051, 31371108, 31171274]; 973 Projects of China [2012CB725203]; Natural Science Foundation of Beijing [5112008, 5132007]; General Program of Science and Technology Development Project of Beijing Municipal Education Commission of China [KM201110025001]; Beijing Municipal Technology Foundation for Selected Overseas Chinese Scholar; Capital Health Research and Development of Special [2014-1-4091]; Howard Hughes Medical InstituteSCI(E)SSCIARTICLE1-817

    Author Profiling and Plagiarism Detection

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    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-25485-2_6In this chapter we introduce the topics that we will cover in the RuSSIR 2014 course on Author Profiling and Plagiarism Detection (APPD). Author profiling distinguishes between classes of authors studying how language is shared by classes of people. This task helps in identifying profiling aspects such as gender, age, native language, or even personality type. In case of the plagiarism detection task we are not interested in studying how language is shared. On the contrary, given a document we are interested in investigating if the writing style changes in order to unveil text inconsistencies, i.e., unexpected irregularities through the document such as changes in vocabulary, style and text complexity. In fact, when it is not possible to retrieve the source document(s) where plagiarism has been committed from, the intrinsic analysis of the suspicious document is the only way to find evidence of plagiarism. The difficulty in retrieving the source of plagiarism could be due to the fact that the documents are not available on the web or the plagiarised text fragments were obfuscated via paraphrasing or translation (in case the source document was in another language). In this overview, we also discuss the results of the shared tasks on author profiling (gender and age identification) and plagiarism detection that we help to organise at the PAN Lab on Uncovering Plagiarism, Authorship, and Social Software Misuse.The PAN shared tasks on author profil-ing and on plagiarism detection have been organised in the framework of the WIQ-EIIRSES project (Grant No. 269180) within the EC FP 7 Marie Curie People. The research work described in the paper was carried out in the framework of the DIANA-APPLICATIONS-Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project, and the VLC/CAMPUS Microcluster on Multimodal Interaction inIntelligent Systems.Rosso, P. (2015). Author Profiling and Plagiarism Detection. En Information Retrieval. Springer. 229-250. https://doi.org/10.1007/978-3-319-25485-2_6S229250Argamon, S., Koppel, M., Fine, J., Shimoni, A.R.: Gender, genre, and writing style in formal written texts. TEXT 23, 321–346 (2003)Association of Teachers and Lecturers. School work plagued by plagiarism - ATL survey. Technical report, Association of Teachers and Lecturers, London, UK (2008). (Press release)Barrón-Cedeño, A.: On the mono- and cross-language detection of text re-use and plagiarism. Ph.D. thesis, Universitat Politènica de València (2012)Barrón-Cedeño, A., Rosso, P., Pinto, D., Juan, A.: On cross-lingual plagiarism analysis using a statistical model. In: Proceedings of the ECAI 2008 Workshop on Uncovering Plagiarism, Authorship and Social Software Misuse, PAN 2008 (2008)Barrón-Cedeño, A., Gupta, P., Rosso, P.: Methods for cross-language plagiarism detection. Knowl. Based Syst. 50, 11–17 (2013)Barrón-Cedeño, A., Vila, M., Martí, M., Rosso, P.: Plagiarism meets paraphrasing: insights for the next generation in automatic plagiarism detection. Comput. Linguist. 39(4), 917–947 (2013)Bogdanova, D., Rosso, P., Solorio, T.: Exploring high-level features for detecting cyberpedophilia. Comput. Speech Lang. 28(1), 108–120 (2014)Braschler, M., Harman, D.: Notebook papers of CLEF 2010 LABs and workshops. Padua, Italy (2010)Cappellato, L., Ferro, N., Halvey, M., Kraaij, W.: CLEF 2014 labs and workshops, notebook papers. In: CEUR Workshop Proceedings (CEUR-WS.org), ISSN 1613–0073 (2014). http://ceur-ws.org/Vol-1180/Comas, R., Sureda, J., Nava, C., Serrano, L.: Academic cyberplagiarism: a descriptive and comparative analysis of the prevalence amongst the undergraduate students at Tecmilenio University (Mexico) and Balearic Islands University (Spain). In: Proceedings of the International Conference on Education and New Learning Technologies (EDULEARN 2010), Barcelona (2010)Flesch, R.: A new readability yardstick. J. Appl. Psychol. 32(3), 221–233 (1948)Flores, E., Barrón-Cedeño, A., Rosso, P., Moreno, L.: Desocore: detecting source code re-use across programming languages. In: Proceedings of 12th International Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-2012, pp. 1–4, Montreal, Canada (2012)Flores, E., Barrón-Cedeño, A., Moreno, L., Rosso, P.: Uncovering source code re-use in large-scale programming environments. In: Computer Applications in Engineering and Education, Accepted (2014). doi: 10.1002/cae.21608Forner, P., Navigli, R., Tufis, D.: CLEF 2013 evaluation labs and workshop - working notes papers, 23–26 September. Valencia, Spain (2013)Franco-Salvador, M., Gupta, P., Rosso, P.: Cross-Language plagiarism detection using a multilingual semantic network. In: Braslavski, P., Kuznetsov, S.O., Kamps, J., Rüger, S., Agichtein, E., Segalovich, I., Yilmaz, E., Serdyukov, P. (eds.) ECIR 2013. LNCS, vol. 7814, pp. 710–713. Springer, Heidelberg (2013)Franco-Salvador, M., Gupta, P., Rosso, P.: Knowledge graphs as context models: improving the detection of cross-language plagiarism with paraphrasing. In: Ferro, N. (ed.) PROMISE Winter School 2013. LNCS, vol. 8173, pp. 227–236. Springer, Heidelberg (2014)Gollub, T., Stein, B., Burrows, S.: Ousting Ivory tower research: towards a web framework for providing experiments as a service. In: Hersh, B., Callan, J., Maarek, Y., Sanderson, M., (eds.) 35th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2012), pp. 1125–1126. ACM, August 2012. ISBN 978-1-4503-1472-5. doi: 10.1145/2348283.2348501Gollub, T., Hagen, M., Michel, M., Stein, B.: From keywords to keyqueries: content descriptors for the web. In: Gurrin, C., Jones, G., Kelly, D., Kruschwitz, U., de Rijke, M., Sakai, T., Sheridan, P., (eds.) 36th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2013), pp. 981–984. ACM (2013)Goswami, S., Sarkar, S., Rustagi, M.: Stylometric analysis of bloggers’ age and gender. In: Adar, E., Hurst, M., Finin, T., Glance, N.S., Nicolov, N., Tseng, B.L., (eds.) ICWSM. The AAAI Press (2009)Gressel, G., Hrudya, P., Surendran, K., Thara, S., Aravind, A., Prabaharan, P.: Ensemble Learning Approach for Author Profiling-Notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Grozea, C., Popescu, M.: ENCOPLOT - performance in the Second International Plagiarism Detection Challenge lab report for PAN at CLEF 2010. In: Braschler and Harman [8]Grozea, C., Gehl, C., Popescu, M.: ENCOPLOT: pairwise sequence matching in linear time applied to plagiarism detection. In: Stein et al., (ed.) Overview of the 1st International Competition on Plagiarism Detection, pp. 10–18 (2009)Gunning, R.: The Technique of Clear Writing. McGraw-Hill Int. Book Co, New York (1952)Gupta, P., Barrón-Cedeño, A., Rosso, P.: Cross-language high similarity search using a conceptual thesaurus. In: Catarci, T., Peñas, A., Santucci, G., Forner, P., Hiemstra, D. (eds.) CLEF 2012. LNCS, vol. 7488, pp. 67–75. Springer, Heidelberg (2012)Honore, A.: Some simple measures of richness of vocabulary. Assoc. Lit. Linguist. Comput. Bull. 7(2), 172–177 (1979)IEEE. A Plagiarism FAQ. http://www.ieee.org/publications_standards/publications/rights/plagiarism_FAQ.html (2008). Published: 2008; Last Accessed 25 November 2012Koppel, M., Argamon, S., Shimoni, A.R.: Automatically categorizing written texts by author gender. Lit. Linguist. Comput. 17(4), 401–412 (2002)Liau, Y., Vrizlynn, L.: Submission to the author profiling competition at pan-2014. In: Proceedings Recent Advances in Natural Language Processing III (2014). http://www.webis.de/research/events/pan-14Lopez-Monroy, A.P., Montes-Y-Gomez, M., Escalante, H.J., Villaseñor-Pineda, L., Villatoro-Tello, E.: INAOE’s participation at PAN 2013: author profiling task–notebook for PAN at CLEF 2013. In: Forner, et al. [14]Pastor López-Monroy, A., Montes y Gómez, M., Escalante, H.J., Villaseñor-Pineda, L.: Using Intra-profile information for author profiling-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Maharjan, S., Shrestha, P., Solorio, T.: A simple approach to author profiling in MapReduce–notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Marquardt, J., Fanardi, G., Vasudevan, G., Moens, M.F., Davalos, S., Teredesai, A., De Cock, M.: Age and gender identification in social media-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Martin, B.: Plagiarism: policy against cheating or policy for learning? Nexus (Newsl. Aust. Sociol. Assoc.) 16(2), 15–16 (2004)Mcnamee, P., Mayfield, J.: Character n-gram tokenization for european language text retrieval. Inf. Retr. 7(1), 73–97 (2004)Meina, M., Brodzinska, K., Celmer, B., Czokow, M., Patera, M., Pezacki, J., Wilk, M.: Ensemble-based classification for author profiling using various features-notebook for PAN at CLEF 2013. In: Forner, et al. [14]Eissen, S.M., Stein, B.: Intrinsic plagiarism detection. In: Tombros, A., Yavlinsky, A., Rüger, S.M., Tsikrika, T., Lalmas, M., MacFarlane, A. (eds.) ECIR 2006. LNCS, vol. 3936, pp. 565–569. Springer, Heidelberg (2006)Montes y Gómez, M., Gelbukh, A.F., López-López, A., Baeza-Yates, R.A.: Flexible comparison of conceptual graphs. In: Proceedings DEXA, pp. 102–111 (2001)Navigli, R., Ponzetto, S.P.: BabelNet: the automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artif. Intell. 193, 217–250 (2012)Nawab, R.M.A., Stevenson, M., Clough, P.: University of sheffield lab report for pan at clef 2010. In: Braschler and Harman [8]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 the Seventh International AAAI Conference on Weblogs and Social Media (2013)Oberreuter, G., Eiselt, A.: Submission to the 6th international competition on plagiarism detection, From Innovand.io, Chile (2014). http://www.webis.de/research/events/pan-14Och, F.J., Ney, H.: A systematic comparison of various statistical alignment models. Comput. Linguist. 29(1), 19–51 (2003)Palkovskii, Y., Belov, A.: Developing high-resolution universal multi-type N-Gram plagiarism detector-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Pennebaker, J.W., Mehl, M.R., Niederhoffer, K.G.: Psychological aspects of natural language use: our words, our selves. Ann. Rev. Psychol. 54(1), 547–577 (2003)Potthast, M., Stein, B., Barrón-Cedeño, A., Rosso, P.: An evaluation framework for plagiarism detection. In: COLING 2010: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 997–1005 (2010)Potthast, M., Stein, B., Anderka, M.: A wikipedia-based multilingual retrieval model. In: Plachouras, V., Macdonald, C., Ounis, I., White, R.W., Ruthven, I. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 522–530. Springer, Heidelberg (2008)Potthast, M., Stein, B., Eiselt, A., Barrón-Cedeño, A., Rosso, P.:. Overview of the 1st international competition on plagiarism detection. In: Stein, B., Rosso, P., Stamatatos, E., Koppel, M., Agirre, E., (eds.) Proceedings of the SEPLN 2009 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2009), pp. 1–9, 2009. CEUR-WS.org (September 2009). http://ceur-ws.org/Vol-502Potthast, M., Barrón-Cedeño, A., Eiselt, A., Stein, B., Rosso, P.: Overview of the 2nd International Competition on Plagiarism Detection. In: Braschler and Harman [8]Potthast, M., Barrón-Cedeño, A., Eiselt, A., Stein, B., Rosso, P.: Overview of the 2nd international competition on plagiarism detection. In: Braschler, M., Harman, D., Pianta, E., (eds.) Working Notes Papers of the CLEF 2010 Evaluation Labs (September 2010) 2010. http://www.clef-initiative.eu/publication/working-notesPotthast, M., Barrón-Cedeño, A., Stein, B., Rosso, P.: Cross-language plagiarism detection. Lang. Resour. Eval. 45(1), 45–62 (2011)Potthast, M., Eiselt, A., Barrón-Cedeño, A., Stein, B., Rosso, P.: Overview of the 3rd international competition on plagiarism detection. In: Petras, V., Forner, P., Clough, P., (eds.) Working Notes Papers of the CLEF 2011 Evaluation Labs (September 2011) (2011). http://www.clef-initiative.eu/publication/working-notesPotthast, M., Gollub, T., Hagen, M., Grabegger, J., Kiesel, J., Michel, M., Oberlander, A., Tippmann, M., Barrón-Cedeño, A., Gupta, P., Rosso, P., Stein, B.: Overview of the 4th international competition on plagiarism detection. In: Forner, P., Karlgren, J., Womser-Hacker, C., (eds.) Working Notes Papers of the CLEF 2012 Evaluation Labs (September 2012) (2012). http://www.clef-initiative.eu/publication/working-notesPotthast, M., Hagen, M., Stein, B., Grabegger, J., Michel, M., Tippmann, M., Welsch, C.: Chatnoir: a search engine for the clueweb09 corpus. In: Hersh, B., Callan, J., Maarek, Y., Sanderson, M., (eds.) 35th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2012), p. 1004 (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: Forner, et al. [14]Potthast, M., Hagen, M., Beyer, A., Busse, M., Tippmann, M., Rosso, P., Stein, B.: Overview of the 6th International Competition on Plagiarism Detection. In: Cappellato, et al. [9]Pouliquen, B., Steinberger, R., Ignat, C.: Automatic linking of similar texts across languages. In: Proceedings of Recent Advances in Natural Language Processing III, RANLP 2003, pp. 307–316 (2003)Prakash, A., Saha, S.: Experiments on document chunking and query formation for plagiarism source retrieval-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Rangel, F., Rosso, P., Koppel, M., Stamatatos, E., Inches, G.: Overview of the author profiling task at PAN 2013–notebook for PAN at CLEF 2013. In: Forner, et al. [14]Rangel, F., Rosso, P., Chugur, I., Potthast, M., Trenkman, M., Stein, B., Verhoeven, B., Daelemans, W.: Overview of the 2nd author profiling task at PAN 2014–notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Sanchez-Perez, M., Sidorov, G., Gelbukh, A.: A winning approach to text alignment for text reuse detection at PAN 2014-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Schler, J., Koppel, M., Argamon, S., Pennebaker, J.W.: Effects of age and gender on blogging. In: AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, pp. 199–205. AAAI (2006)Stamatatos, E.: Intrinsic plagiarism detection using character n-gram profiles. In: Stein, B., Rosso, P., Stamatatos, E., Koppel, M., Agirre, E., (eds.) Proceedings of the SEPLN09 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2009), pp. 38–46, 2009. CEUR-WS.org, September 2009. http://ceur-ws.org/Vol-502Stein, B., Meyer zu Eissen, S., Potthast, M.: Strategies for retrieving plagiarized documents. In: Clarke, C., Fuhr, N., Kando, N., Kraaij, W., de Vries, A., (eds.) 30th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), pp. 825–826. ACM (2007)Stein, B., Potthast, M., Rosso, P., Barrón-Cedeño, A., Stamatatos, E., Koppel, M.: Fourth international workshop on uncovering plagiarism, authorship, and social software misuse. ACM SIGIR Forum 45, 45–48 (2011)Steinberger, R., Pouliquen, B., Widiger, A., Ignat, C., Erjavec, T., Tufis, D., Varga, D.: The jrc-acquis: a multilingual aligned parallel corpus with +20 languages. In: Proceedings of 5th International Conference on language resources and evaluation LREC 2006 (2006)Suchomel, S., Brandejs, M.: Heterogeneous queries for synoptic and phrasal search-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Villena-Román, J., González-Cristóbal, J.C.: DAEDALUS at PAN 2014: Guessing Tweet Author’s Gender and Age-Notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Vossen, P.: Eurowordnet: a multilingual database of autonomous and language-specific wordnets connected via an inter-lingual index. Int. J. Lexicography 17, 161–173 (2004)Wang, H., Lu, Y., Zhai, C.: Latent aspect rating analysis on review text data: a rating regression approach. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 783–792 (2010)Weren, E.R.D., Moreira, V.P., de Oliveira, J.P.M.:. Exploring information retrieval features for author profiling-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Williams, K., Chen, H.H., Giles, C.: Supervised ranking for plagiarism source retrieval-notebook for PAN at CLEF 2014. In: Cappellato, et al. [9]Yule, G.: The Statistical Study of Literary Vocabulary. Cambridge University press, Cambridge (1944)Zubarev, D., Sochenkov, I.: Using sentence similarity measure for plagiarism source retrieval-notebook for PAN at CLEF 2014. In: Cappellato, L., et al. [9
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