Sorodne raziskave

Računalniško posredovana komunikacija

  • Androutsopoulos, J., M. Beißwenger. 2008. Introduction: Data and methods in computer-mediated discourse analysis. Language@Internet, 5. [pdf]
  • Beißwenger, M., M. Ermakova, A. Geyken, L. Lemnitzer, A. Storrer. 2012. A TEI Schema for the Representation of Computer-mediated Communication. Journal of the Text Encoding Initiative (jTEI), 3. [pdf]
  • Herring. 2001. Computer-Mediated Discourse. The Handbook of Discourse Analysis. Oxford: Blackwell Publishers, 612–634. [pdf]
  • Herring, S. C. 2015. New Frontiers in Interactive Multimodal Communication. A. Georgopoulou & T. Spilloti (eds.): The Routledge Handbook of Language and Digital Communication. London: Routledge. [pdf]
  • Varis, P. 2015. Digital Ethnography. A. Georgopoulou & T. Spilloti (eds.): The Routledge Handbook of Language and Digital Communication. London: Routledge. [pdf]
  • Eysenbach, G., J. E. Till. 2001. Ethical issues in qualitative research on Internet communities. BMJ, 323 (7321), 1103–1105. [pdf]
  • Jacobson, D. 1999. Doing research in cyberspace. Field Methods, 11 (2), 127–145. [pdf]
  • Noblia, M. V. 1998. The Computer-Mediated Communication: A New Way of Understanding The Language. Zbornik konference Internet Research and Information for Social Scientists, IRISS’98, 10–12. [pdf]
  • Rettie, R. 2003. A comparison of four new communication technologies. Human-Computer Interaction: Theory and Practice, 1, 686–690. Lawrence Erlbaum Associates. [pdf]
  • Sotillo, S. M. 2000. Discourse functions and syntactic complexity in synchronous and asynchronous communication. Language Learning & Technology, 4 (1), 82–119. [html]

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Jezikoslovne raziskave

  • Aitchison, J., D. Lewis, S. Jenkins. 2003. New Media Language. Routledge.
  • af Segerstad, Y. H. 2002. Use and Adaptation of Written Language to the Conditions of Computer-Mediated Communication. PhD thesis, Department of Linguistics, Göteborg University, Sweden. [pdf]
  • Baron, N. S. 2003. The Language of the Internet. Handbook for Language Engineers. CSLI Publications, 59–127. [pdf]
  • Baron, N. S. 2010. Always On: Language in an Online and Mobile World. Oxford University Press.
  • Beard, A. 2004. Language Change (Intertext). Routledge.
  • Carter, R., M. Bowring. 2007. Working with Texts: A Core Introduction to Language Analysis (Intertext). Routledge.
  • Cherny, L. 1999. Conversation and Community: Chat in a Virtual World. Stanford, CA, USA: 2 CSLI Publications.
  • Cornbleet, S., R. Carter. 2001. The Language of Speech and Writing (Intertext). Routledge.
  • Crystal, D. 2001. Language and the Internet. Cambridge University Press.
  • Crystal, D. 2004. A Glossary of Netspeak and Textspeak. Edinburgh University Press.
  • Crystal, D. 2009. Txtng: The Gr8 Db8. Oxford University Press.
  • Crystal, D. 2011. Internet Linguistics: A Student Guide. Routledge.
  • Danet, B., S. C. Herring. 2007. The Multilingual Internet: Language, Culture, and Communication Online. Oxford University Press.
  • Michelizza, M. 2014. Slovenščina v elektronskih medijih. Razpotja, 15. [html]
  • Myslin, M., S. T. Gries. 2010. k dixez? A corpus study of Spanish Internet orthography. Literacy and Linguistic Computing, 25 (1), 85–104. [pdf]
  • Ooi, V. B. Y. 2001. “Aspects of computer-mediated communication for research in corpus linguistics”. Language and Computers, 36, 91–104.
  • Pridham, F. 2001. The Language of Conversation (Intertext). Routledge.
  • Ringlstetter, C., K. U. Schulz, S. Mihov. 2006. Orthographic errors in web pages: Toward cleaner web corpora. Computational Linguistics, 32 (3), 295–340. [pdf]
  • Sproat, R., A. W. Black, S. Chen, S. Kumar, M. Ostendorf, C. Richards. 2001. Normalization of non-standard words. Computer Speech and Language, 15 (3), 287–333. [pdf]
  • Storrer, A. 2009. Rhetorisch-stilistische Eigenschaften der Sprache des Internets. Rhetorik und Stilistik – Rhetorics and Stilistics. Ein internationales Handbuch historischer und systematischer Forschung. Berlin/New York: de Gruyter, 2211–2226. [pdf]
  • Storrer, A. 2010. Über die Auswirkungen des Internets auf unsere Sprache. 2020 – Gedanken zur Zukunft des Internets. Essen: Klartext Verlag, 219–224. [pdf]
  • Storrer, A. 2013. Sprachstil und Sprachvariation in sozialen Netzwerken. B. Frank-Job, A. Mehler, T. Sutter (ur.): Die Dynamik sozialer und sprachlicher Netzwerke. Konzepte, Methoden und empirische Untersuchungen an Beispielen des WWW. Wiesbaden: VS Verlag für Sozialwissenschaften, 331–366. [pdf]
  • Storrer, A. 2013. Sprachverfall durch internetbasierte Kommunikation? Linguistische Erklärungsansätze – empirische Befunde. Sprachverfall? Dynamik – Wandel – Variation. Jahrbuch des Instituts für Deutsche Sprache 2013. [pdf]
  • Tavosanis, M. 2007. A causal classification of orthography errors in web texts.  Proceedings of AND 2007, 99–106. [pdf]
  • Zampieri, M., J. Hermes, S. Schwiebert. 2013. Identification of Patterns and Document Ranking of Internet Texts: A Frequency-based Approach. Zampieri, M., S. Diwersy (ur.): Non-standard Data Sources in Corpus-based Research. Aachen: Shaker Verlag, 25–39. [pdf]

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Terminološke raziskave

  • Faber Benitez, P. 2010. The Cognitive Shift in Terminology and Specialized Translation. Monografias de Traduccion. [pdf]
  • Varga, C. 2011. Knowledge Transmission in Cyberspace. Discourse Analysis of Professional Web Forums as Internet Subgenre. Doctoral thesis, UPF Barcelona. [pdf]

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Tviti

  • Erjavec, T., D. Fišer. 2013. Jezik slovenskih tvitov: korpusna raziskava. Družbena funkcijskost jezika: (vidiki, merila, opredelitve), Obdobja 32. Ljubljana: Znanstvena založba Filozofske fakultete, 109–116. [pdf]
  • Kalin Golob, M., K. Erjavec. 2014. Vrednotenje in pripadnost virtualni skupnosti slovenskega twitterja. Slavistična revija, 62 (2). [pdf]
  • Ljubešić, N., D. Kranjčić. 2014. Discriminating between VERY similar languages among Twitter users. Zbornik Devete konference Jezikovne tehnologije. Ljubljana: Institut Jožef Stefan. [pdf]
  • McCreadie, R., I. Soboroff, J. Lin, C. Macdonald, I. Ounis, D. McCullough. 2012. On building a reusable Twitter corpus. SIGIR ’12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. New York: ACM New York, 1113–1114. [pdf]
  • Petrović, S., M. Osborne, V. Lavrenko. 2010. The Edinburgh Twitter Corpus. Zbornik konference NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media. Los Angeles: Association for Computational Linguistics, 25–26. [pdf]
  • Varnhagen, C., G. Mcfall, N. Pugh, L. Routledge, H. Sumida-Macdonald, T. Kwong. 2009. “lol”: new language and spelling in instant messaging. Reading and Writing, Online First. [pdf]
  • Xiang, G., B. Fan, L. Wang, J. Hong, C. Rose. 2012. Detecting offensive tweets via topical feature discovery over a large scale twitter corpus. CIKM ’12 Proceedings of the 21st ACM international conference on Information and knowledge management. New York: ACM New York, 1980–1984. [pdf]

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E-pošta

  • Baron, N. S. 1998. Letters by phone or speech by other means: the linguistics of email. Language and Communication, 18 (2), 133–170. [pdf]
  • Baron, N. S. 2003. Why email looks like speech: Proofreading, pedagogy, and public face. Aitchison, J., D. M. Lewis (ur.), New Media Language, Chapter 9. London, UK: Routledge. [pdf]
  • Biesenbach-Lucas, S., D. Weasenforth. 2001. E-mail and word processing in the ESL classroom: How the medium affects the message. Language Learning and Technology, 5 (1), 135–165. [html]
  • Colley, A., Z. Todd., M. Bland, M. Holmes, N. Khanom, H. Pike. 2004. Style and content in e-mails and letters to male and female friends. Journal of Language and Social Psychology, 23 (3). Sage Publications, 369–378. [pdf]
  • Corney, M., O. de Vel, A. Anderson, G. Mohay. 2002. Gender-preferential text mining of email discourse. Zbornik konference 18th Annual Computer Security Applications Conference. Los Alamitos: IEEE Computer Society, 282–289. [pdf]
  • de Vel, O., A. Anderson, M. Corney, G. Mohay. 2001. Mining E-mail Content for Author Identification Forensics. ACM SIGMOD Record, 30 (4). New York: ACM, 55–64. [pdf]
  • de Vel, O., M. Corney, A. Anderson, G. Mohay. 2002. Language and gender author cohort analysis of e-mail for computer forensics. Zbornik konference Digital Forensic Research Workshop. [pdf]
  • Deutschmann, M., A. Ädel, G. Garretson, T. Walker. 2009. Introducing Mini-McCALL: A pilot version of the Mid-Sweden corpus of computer-assisted language learning. ICAME Journal, 33, 21–44. [pdf]
  • Dobrovoljc, H. 2008. Jezik v e-poštnih sporočilih in vprašanja sodobne normativistike. M. Košuta (ur.). Slovenščina med kulturami, (Zbornik Slavističnega društva Slovenije 19). [pdf]
  • Gill, A. J., S. Nowson, J. Oberlander. 2006. Language and Personality in Computer-Mediated Communication: A cross-genre comparison. JCMC. [pdf]
  • Hills, M. 2000. You are what you type: Language and gender deception on the Internet. Honours thesis, University of Otago. [pdf]
  • Klimt, B., Y. Yang. 2004. Introducing the Enron corpus. Zbornik konference First Conference on Email and Anti-Spam (CEAS). Mountain View, California. [pdf]
  • Klimt, B., Y. Yang. 2004. The Enron Corpus: A New Dataset for Email Classification Research. Zbornik konference 15th European Conference on Machine Learning. Springer Berlin Heidelberg, 217–226. [pdf]
  • Tsuboi, Y., Y. Matsumoto. 2002. Authorship identification for heterogeneous documents. Joho Shori Gakkai Kenkyu Hokoku, 17–24. [pdf]
  • Waldvogel, J. 2007. Greetings and closings in workplace email. Journal of Computer-Mediated Communication, 12 (2), 456–477. [pdf]

NA VRH

SMS

  • Beaufort, R., S. Roekhaut, L.-A. Cougnon, and C. Fairon. 2010. A hybrid rule/model-based finite-state framework for normalizing SMS messages. Zbornik konference 48th Annual Meeting of the Association for Computational Linguistics. Uppsala: Association for Computational Linguistics, 770–779. [pdf]
  • Bieswanger, M. 2007. 2 abbrevi8 or not 2 abbrevi8: A contrastive analysis of different shortening strategies in English and German text messages. Hallett, T., S. Floyd, S. Oshima, A. Shield (ur.), Texas Linguistic Forum, 50, Austin, Texas: University of Texas, Austin. [pdf]
  • Choudhury, M., R. Saraf, V. Jain, A. Mukherjee, S. Sarkar, and A. Basu. 2007. Investigation and modeling of the structure of texting language. International Journal on Document Analysis and Recognition, 10 (3), 157–174. [pdf]
  • Cook, P., S. Stevenson. 2009. An unsupervised model for text message normalization. Zbornik konference NAACL HLT Workshop on Computational Approaches to Linguistic Creativity. Boulder, Colorado: Assocation for Computational Linguistics, 71–78. [pdf]
  • How, Y., M.-Y. Kan. 2005. Optimizing predictive text entry for short message service on mobile phones. Smith, M. J., G. Salvendy (ur.). Zbornik konference Human Computer Interfaces International 2005 (HCII 05). Las Vegas: Lawrence Erlbaum Associates. [pdf]
  • Farina, F., F. Lyddy. 2011.  The Language of Text Messaging: “Linguistic Ruin” or Resource? The Irish Psychologist, 37 (6). [pdf]
  • Kobus, C., F. Yvon, G. Damnati. 2008. Normalizing SMS: are two metaphors better than one?. Zbornik konference 22nd International Conference on Computational Linguistics, COLING ’08. Association for Computational Linguistics, 441–448. [pdf]
  • Kothari, G., S. Negi, T. A. Faruquie, V. T. Chakaravarthy, L. V. Subramaniam. 2009. SMS based interface for FAQ retrieval. Zbornik konference Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Suntec, Singapore: Association for Computational Linguistics, 852–860. [pdf]
  • Ling, R., N. S. Baron. 2007. Text message and IM: Linguistic comparison of American college data. Journal of Language and Social Psychology, 26 (3), 291–298. [pdf]
  • Michelizza, M. 2008. Jezik SMS-jev in SMS-komunikacija. Jezikoslovni zapiski 14/1 , 151–166. [pdf]
  • Plester, B., C. Wood, V. Bell. 2008. Txt msg n school literacy: does texting and knowledge of text abbreviations adversely affect children’s literacy attainment?. Literacy, 42 (3), 137–144. [pdf]
  • Ruef, B., S. Ueberwasser. 2013. The Taming of a Dialect: Interlinear Glossing of Swiss German Text Messages. Zampieri, M., S. Diwersy (ur.). Non-standard Data Sources in Corpus-based Research. Aachen: Shaker Verlag, 61–68. [pdf]
  • Shortis, T. 2007. Gr8 Txtpectations: The Creativity of Text Spelling. English, Drama, Media, 8, 21–26. [pdf]
  • Tagg, C. 2009. A corpus linguistics study of SMS text messaging. PhD thesis, School of English, Drama and American and Canadian Studies, University of Birmingham, Birmingham, UK. [pdf]
  • Tagg, C., A. Baron, P. Rayson. 2010. “I didn’t spel that wrong did i. Oops” Analysis and standardisation of SMS spelling variation. ICAME 2010. Giessen. [pdf]
  • Tagg, C. 2012. Discourse of Text Messaging. London: Continuum.
  • Thurlow, C., A. Brown. 2003. Generation Txt? The sociolinguistics of young people’s text-messaging. Discourse Analysis Online. [html]
  • Thurlow, C., M. Poff. 2011. Text messaging. Herring, S. C., D. Stein, T. Virtanen (ur.). Handbook of the Pragmatics of CMC. Berlin, New York: Mouton de Gruyter. [pdf]
  • Ueberwasser, S. 2013. Non-standard data in Swiss text messages with a special focus on dialectal forms. Zampieri, M., S. Diwersy (ur.). Non-standard Data Sources in Corpus-based Research. Aachen: Shaker Verlag, 7–24. [pdf]
  • Yvon, F. 2010. Rewriting the orthography of SMS messages. Natural Language Engineering, 16 (02), 133–159. [pdf]

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IM

  • Avrahami, D., S. E. Hudson. 2006a. Communication characteristics of instant messaging: effects and predictions of interpersonal relationships. Zbornik konference 20th anniversary conference on Computer supported cooperative work, CSCW ’06. New York: ACM, 505–514. [pdf]
  • Avrahami, D., S. E. Hudson. 2006b. Responsiveness in instant messaging: predictive models supporting inter-personal communication. Zbornik konference SIGCHI conference on Human Factors in computing systems, CHI ’06. New York: ACM, 731–740. [pdf]
  • Bangalore, S., V. Murdock, G. Riccardi. 2002. Bootstrapping bilingual data using consensus translation for a multilingual instant messaging system. Zbornik konference 19th international conference on Computational linguistics. Taipei: Association for Computational Linguistics, 1–7. [pdf]
  • Craig, D. 2003. Instant messaging: The language of youth literacy. Technical report, Stanford, CA, USA. [pdf]
  • Ferrara, K., H. Brunner, G. Whittemore. 1991. Interactive written discourse as an emergent register. Written Communication, 8 (1), 8–34. [pdf]
  • Isaacs, E., A. Walendowski, S. Whittaker, D. J. Schiano, C. Kamm. 2002. The character, functions, and styles of instant messaging in the workplace. Zbornik konference 2002 ACM conference on Computer supported cooperative work, CSCW ’02. New Orleans: ACM, 11–20. [pdf]
  • Tagliamonte, S. A., D. Denis. 2008. Linguistic ruin? LOL! Instant messaging and teen language. American Speech, 83 (1), 3–34. [pdf]
  • Varnhagen, C., G. Mcfall, N. Pugh, L. Routledge, H. Sumida-Macdonald, T. Kwong. 2009. “lol”: new language and spelling in instant messaging. Reading and Writing, Online First. [pdf]

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Klepetalnice

  • Acar, E., S. A. Çamtepe, M. S. Krishnamoorthy, B. Yener. 2005. Modeling and multiway analysis of chatroom tensors. Intelligence and Security Informatics, 256–268. [pdf]
  • Al-Sa’di, R. A., J. M. Hamdan. 2005. “synchronous online chat” English: Computer-mediated communication. World Englishes, 24 (4), 409–424. [pdf]
  • Beißwenger, M. 2010. Empirische Untersuchungen zur Produktion von Chat-Beiträgen. T. Sutter, A. Mehler (ur.): Medienwandel als Wandel von Interaktionsformen. Wiesbaden: Verlag für Sozialwissenschaften , 47–81. [pdf]
  • Beißwenger, M. 2013. Raumorientierung in der Netzkommunikation. Korpusgestützte Untersuchungen zur lokalen Deixis in Chats. Barbara Frank-Job, Alexander Mehler & Tilmann Sutter (ur.): Die Dynamik sozialer und sprachlicher Netzwerke. Konzepte, Methoden und empirische Untersuchungen an Beispielen des WWW. Wiesbaden: VS Verlag für Sozialwissenschaften, 207–258. [pdf]
  • Beißwenger, M., A. Storrer. 2012. Interaktionsorientiertes Schreiben und interaktive Lesespiele in der Chat-Kommunikation. Zeitschrift für Literaturwissenschaft und Linguistik 168 (Dinge und Maschinen in der Kommunikation), 92–124. [pdf]
  • Çamtepe, A., M. S. Krishnamoorthy, B. Yener. 2004. A tool for Internet chatroom surveillance. Intelligence and Security Informatics, 252–265. [pdf]
  • Driscoll, D. 2002. The ubercool morphology of Internet gamers: A linguistic analysis. Undergraduate Research Journal for the Human Sciences, 1. [html]
  • Forsyth, E. N. 2007. Improving Automated Lexical And Discourse Analysis of Online Chat Dialog. PhD thesis, Naval Postgraduate School, Monerey, CA. [pdf]
  • Holmer, T. 2008. Discourse structure analysis of chat communication. Language@Internet, 5. [pdf]
  • Hudson, J. M., A. Bruckman. 2004. ”go away”: Participant objections to being studied and the ethics of chatroom research. The Information Society: An International Journal, 20 (2), 127–139. [pdf]
  • Koch, S. C., B. Mueller, L. Kruse, J. Zumbach. 2005. Constructing gender in chat groups. Sex Roles, 53 (1), 29–41. [pdf]
  • Lin, J. 2007. Automatic Author Profiling of Online Chat Logs. MA thesis, Naval Postgraduate School, Monerey, CA. [pdf]
  • Subrahmanyam, K., P. M. Greenfield, B. Tynes. 2004. Constructing sexuality and identity in an online teen chat room. Journal of Applied Developmental Psychology, 25 (6), 651–666. [pdf]
  • Subrahmanyam, K., P. M. Greenfield, D. Smahel. 2006. Connecting developmental constructions to the Internet: Identity presentation and sexual exploration in online teen chat rooms. Developmental Psychology, 42 (3), 395–406. [pdf]
  • Tynes, B., L. Reynolds, P. M. Greenfield. 2004. Adolescence, race, and ethnicity on the Internet: A comparison of discourse in monitored vs. unmonitored chat rooms. Journal of Applied Developmental Psychology, 25 (6), 667–684. [pdf]
  • Van Dyke, N. W., H. Lieberman, P. Maes. 1999. Butterfly: a conversation-finding agent for Internet Relay Chat. Zbornik konference 4th international conference on Intelligent user interfaces, IUI ’99. New York: ACM, 39–41. [pdf]
  • Wong, W., W. Liu, M. Bennamoun. 2006. Integrated scoring for spelling error correction, abbreviation expansion and case restoration in dirty text. Peter, C., P. J. Kennedy, J. Li, S. J. Simoff, G. J. Williams (ur.), Zbornik konference Fifth Australasian Data Mining Conference (AusDM2006), CRPIT. Sydney: ACS, 83–89. [pdf]
  • Wong, W., W. Liu, M. Bennamoun. 2008. Enhanced integrated scoring for cleaning dirty texts. IJCAI Workshop on Analytics for Noisy Unstructured Text Data (AND), 2007, 55–62. [pdf]

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Blogi

  • Santosh, K., R. Bansal, M. Shekhar, V. Varma. 2013. Author Profiling: Predicting Age and Gender from Blogs. CLEF 2013. [pdf]
  • Schler, J., M. Koppel, S. Argamon, J. Pennebaker. 2006. Effects of age and gender on blogging. Zbornik konference AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs. [pdf]
  • Stuart, K. 2006. Towards an analysis of academic weblogs. Revisita Alicantina de Estudios Ingleses, 19, 387–404. [pdf]

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Forumi

  • Jakop, N. 2008. Pravopis in spletni forumi – kva dogaja? Slovenščina med kulturami, Zbornik Slavističnega društva Slovenije 19, 315–327. [pdf]

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Primerjava pisnega jezika in govora

  • Allwood, J. 1998. Some Frequency based Differences between Spoken and Written Swedish. Zbornik konference XVIth Scandinavian Conference of Linguistics. Department of Linguistics, University of Turku. [pdf]
  • Akinnaso, F. 1982. On The Differences Between Spoken and Written Language. Language and Speech 25/2, 97–125.
  • Akinnaso, F. 1985. On the similarities between spoken and written language. Language & Speech 28/4, 323.
  • Amoia, M., K. Kunz, E. Lapshinova-Koltunsk. 2012. Coreference in Spoken vs. Written Texts: a Corpus-based Analysis. Zbornik konference 8th international conference on Language Resources and Evaluation (LREC2012). Istanbul, Turkey. [pdf]
  • Baron, N. 2010. Discourse Structures in Instant Messaging: The Case of Utterance Breaks. Language@Internet 7, article 4. [pdf]
  • Chovanec, J. 2009. Simulation of spoken interaction in written online media text. Brno Studies in English, 35/2. [pdf]
  • Sindoni, M. G. 2013. Spoken and Written Discourse in Online Interactions: A Multimodal Approach. New York/London: Routledge.
  • Leech, G., P. Rayson, A. Wilson. 2001. Word Frequencies in Written and Spoken English. Longman, London. [html]
  • Nyström, S. 2003. Spoken Language Features in Internet Discussion Groups. Department of English, Lund University. [pdf]
  • Samlowski, B., B. Möbius, P. Wagner. 2011. Comparing syllabe frequencies in corpora of written and spoken language. Zbornik konference Interspeech 2011, 634–640. [pdf]
  • Vajjala, S., D. Meurers. 2014. Exploring Measures of “Readability” for Spoken Language: Analyzing linguistic features of subtitles to identify age-specific TV programs. Zbornik konference 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations. Göteborg, Švedska: Association for Computational Linguistics. [pdf]

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Jezik in starost

  • Boneva, B., A. Quinn, R. Kraut, S. Kiesler, I. Shklovski. 2006. Teenage communication in the instant messaging era. Kraut, R., M. Brynin, and S. Kiesler (ur.), Computers, Phones, and the Internet: Domesticating Information Technology, Series in Human-Technology Interaction, Chapter 14, 201–218. Oxford and New York: Oxford University Press. [pdf]
  • Kalin Golob, M. 2008. SMS-sporočila treh generacij. Slovenščina med kulturami, Zbornik slavističnega društva Slovenije 19, 283–294. [pdf]
  • Plester, B., C. Wood, V. Bell. 2008. Txt msg n school literacy: does texting and knowledge of text abbreviations adversely affect children’s literacy attainment?. Literacy, 42 (3), 137–144. [pdf]
  • Tagliamonte, S. A., D. Denis. 2008. Linguistic ruin? LOL! Instant messaging and teen language. American Speech, 83 (1), 3–34. [pdf]

NA VRH

Jezik in spol

  • Baron, N. S. 2004. See you online: Gender issues in college student use of instant messaging. Journal of Language and Social Psychology, 23 (4), 397–423. [pdf]
  • Kendall, L. 2000. ”OH NO! I’M A NERD!”: Hegemonic masculinity on an online forum. Gender & Society, 14 (2), 256–274. [pdf]
  • Lee, C. 2003. How does instant messaging affect interaction between the genders?. Technical report, The Mercury Project for Instant Messaging Studies at Stanford University, Stanford, CA, USA. [pdf]
  • Palomares, N. A., E.-J. Lee. 2009. Virtual gender identity: The linguistic assimilation to gendered avatars in computer-mediated communication. Journal of Language and Social Psychology. [pdf]
  • Pedersen, S., C. Macafee. 2007. Gender differences in British blogging. Journal of Computer-Mediated Communication, 12 (4), 1472–1492. [pdf]
  • Schler, J., M. Koppel, S. Argamon, J. Pennebaker. 2006. Effects of age and gender on blogging. Proceedings of AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs. [pdf]
  • Singh, S. 2001. A pilot study on gender differences in conversational speech on lexical richness measures. Literacy and Linguistic Computing, 16 (3), 251–264. [pdf]
  • Thelwall, M. 2008. Fk yea I swear: cursing and gender in MySpace. Corpora, 3 (1), 83–107. [pdf]
  • Tonkin, E. 2008. Orthography, structure and lexical choice as identity markers in social tagging environments. IADIS International Conference on Web Based Communities. [pdf]
  • Waseleski, C. 2006. Gender and the use of exclamation points in computer-mediated communication: An analysis of exclamations posted to two electronic discussion lists. Journal of Computer-Mediated Communication, 11 (4), 1012–1024. [pdf]
  • Witmer, D. F. and S. L. Katzman. 2006. On-line smiles: Does gender make a difference in the use of graphic accents?. Journal of Computer-Mediated Communication, 2 (4).

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Žaljivi govor in jezikovna forenzika

  • Argamon, S., M. Šarić, S. S. Stein. 2003. Style mining of electronic messages for multiple authorship discrimination: first results. Zbornik konference Ninth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD ’03. New York: ACM, 475–480. [pdf]
  • Corney, M. W. 2003. Analysing E-mail Text Authorship for Forensic Purposes. MA thesis, Queensland University of Technology. [pdf]
  • Praprotnik, T. 2003. Pragmatični vidiki žaljive komunikacije v računalniško posredovani komunikaciji – multipla perspektiva. Teorija in praksa, 40/3, 515–540. [pdf]
  • University of Leicester. 2006. Texts to reveal ’whodunnit’. Press Release. [html]
  • Yin, D., Z. Xue, L. Hong, B. D. Davison, A. Kontostathis, L. Edwards. 2009. Detection of Harassment on Web 2.0. Zbornik konference Content Analysis in the Web 2.0 Workshop at WWW2009, CAW2.0 2009. Madrid. [pdf]

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Korpusi

  • Beißwenger, M., A. Storrer. 2009. Corpora of computer-mediated communication. Corpus Linguistics: An International Handbook, 1 of Handbooks of Linguistics and Communication Science, 292–308. Berlin and New York: Mouton de Gruyter. [pdf]
  • Beißwenger, M., M. Ermakova, A. Geyken, L. Lemnitzer, A. Storrer. 2012. DeRiK: A German Reference Corpus of Computer-Mediated Communication. Proceedings of Digital Humanities 2012. [pdf]
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Računalniška obdelava jezika

  • Bartz, T., M. Beißwenger, A. Storrer. 2014. Optimierung des Stuttgart-Tübingen-Tagset für die linguistische Annotation von Korpora zur internetbasierten Kommunikation: Phänomene, Herausforderungen, Erweiterungsvorschläge. Journal for Language Technology and Computational Linguistics JLCL (Themenheft “Das STTS-Tagset für Wortartentagging – Stand und Perspektiven”). [pdf]
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  • Clark, A. 2003. Pre-processing very noisy text. Zbornik konference Workshop on Shallow Processing of Large Corpora at Corpus Lingusitics 2003. [pdf]
  • Shankaran, G. 2004. Detection and extraction of discussion threads in a chat session. Master’s thesis, Department of Electrical Engineering and Computer Science, University of Kansas. [pdf]
  • Gimpel, K., N. Schneider, B. O’Connor, D. Das, D. Mills, J. Eisenstein, M. Heilman, D. Yogatama, J. Flanigan, N. A. Smith. 2011. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. Zbornik konference Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers – Volume 2, 42–47. [pdf]
  • Jurish, B. K.-M. Würzner. 2013. Word and Sentence Tokenization with Hidden Markov Models. Journal for Language Technology and Computational Linguistics, 28(2), pp. 61–83. [pdf]
  • Ljubešić, N., T. Erjavec, D. Fišer. 2014. Standardizing tweets with character-level machine translation. Computational linguistics and intelligent text processing: 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014 : proceedings : part II, (Lecture notes in computer science, 8404). Heidelberg: Springer, 8404, 164–175. [pdf]
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  • Zhu, C., J. Tang, H. Li, H. T. Ng, T. Zhao. 2007. A unified tagging approach to text normalization. Zbornik konference 45th Annual Meeting of the Association of Computational Linguistics. Praga: Association for Computational Linguistics, 688–695. [pdf]

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Drugo

  • Atkins, T. S., A. Kilgarriff, M. Rundell. 2010. Database of Analysed Texts of English (DANTE): the NEID database project. Zbornik konference Euralex. [pdf]
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  • Dolar, K. 2014. Kolaborativni slovar Razvezani jezik. Slavistična revija,  62 (2). [pdf]
  • Erjavec, T. 2012. Jezikovni viri starejše slovenščine IMP: zbirka besedil, korpus, slovar. Zbornik Osme konference Jezikovne tehnologije. Ljubljana: Institut Jožef Stefan, 2012, 52–56. [pdf]
  • Erjavec, T. 2013. Posodabljanje starejše slovenščine. Uporabna informatika, 21/4, 186–195.
  • Erjavec, T., C. Ignat, B. Pouliquen, R. Steinberger. 2005. Massive multilingual corpus compilation: acquis communautaire and totale. Archives of Control Sciences 15, 529–540. [pdf]
  • Fišer, D., T. Erjavec, J. Novak. 2012. sloWNet 3.0: development, extension and cleaning. Zbornik konference Global Wordnet Conference, 113–117. [pdf]
  • Grčar, M., S. Krek, K. Dobrovoljc. 2012. Obeliks: statistical morphosyntactic tagger and lemmatizer for Slovene. Zbornik Osme konference Jezikovne tehnologije. Ljubljana: Institut Jožef Stefan, 2012, 42–47. [pdf]
  • Kilgarriff, A., S. Reddy, J. Pomikalek, P. V. S. Avinesh. 2010. A Corpus Factory for Many Languages. Zbornik konference LREC’10. [pdf]
  • Krek, S., A. Kilgarriff. 2006. Slovene word sketches. Zbornik konference Jezikovne tehnologije. [pdf]
  • Ljubešić, N., T. Erjavec. 2011. hrWaC and slWaC: Compiling web corpora for Croatian and Slovene. Zbornik konference Text, Speech and Dialogue. [pdf]
  • Ljubešić, N., M. Stupar, T. Jurić, Ž. Agić. 2013. Combining available datasets for building named entity recognition models of Croatian and Slovene. Jezikovne tehnologije, Slovenščina 2.0, 1/2. Ljubljana: Trojina, 35–57. [pdf]
  • Logar, N., M. Grčar, M. Brakus, T. Erjavec, Š. Arhar Holdt, S. Krek. 2012. Korpusi slovenskega jezika Gigafida, KRES, ccGigafida in ccKRES : gradnja, vsebina, uporaba. Ljubljana: Trojina.
  • Logar, N. 2003. Kratice in tvorjenke iz njih – aktualna poimenovalna možnost. Współczesna polska i słoweńska sytuacja językowa. Opole: Uniwersytet Opolski, Instytut Filologii Polskiej; Ljubljana: Univerza v Ljubljani, Filozofska fakulteta, 131–149.
  • Pinnis, M., N. Ljubešić, D. Ştefanescu, I. Skadina, M. Tadić, T. Gornostay. 2012. Term extraction, tagging, and mapping tools for under-resourced languages. Zbornik konference Terminology and Knowledge Engineering, 193–208. [pdf]
  • Rayson, P., R. Garside. 2000. Comparing corpora using frequency profiling. Zbornik konference Comparing Corpora, 1–6. [pdf]
  • Štajner, T., T. Erjavec, S. Krek. 2013. Razpoznavanje imenskih entitet v slovenskem besedilu. T. Erjavec, (ur.), J. Žganec Gros (ur.). Jezikovne tehnologije, Slovenščina 2.0, 1/2, Ljubljana: Trojina, 58–81. [pdf]
  • Verdonik, D., A. Zwitter. 2011. Slovenski govorni korpus Gos. Ljubljana: Trojina.
  • Vintar, Š. 2010. Bilingual term recognition revisited: The bag-of-equivalents term alignment approach and its evaluation. Terminology 16 (2).

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