Professur für Korpuslinguistik

Umwidmung / Auflösung: 03.05.2018

Beschreibung:


Die Professur für Korpuslinguistik betreibt methodologische Grundlagenforschung zur quantitativen Auswertung großer Textkorpora. Die entwickelten Algorithmen und Softwarewerkzeuge werden für Untersuchungen im Bereich der digitalen Geistes- und Sozialwissenschaftlichen wie auch für sprachtechnologische Anwendungen genutzt. Ein inhaltlicher Schwerpunkt liegt dabei auf Kookkurrenzphänomenen und der korpusbasierten Diskursanalyse.


Adresse:
Bismarckstraße 6
91054 Erlangen


Forschungsbereiche

Kookkurrenzphänomene und korpusbasierte Diskursanalyse
Korpuswerkzeuge und sprachtechnologische Anwendungen
Methodologie der Korpuslinguistik und Digital Humanities
Weitere Forschungsaktivitäten


Forschungsprojekt(e)

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EFE: Exploring the “Fukushima Effect”: Meinungsnetze und politische Willensbildung in der transnationalen algorithmischen Öffentlichkeit
Prof. Dr. Stefan Evert
(01.01.2017 - 31.12.2018)


E-SPar: Effiziente Simulationsexperimente zur Parameteroptimierung speicherintensiver computerlinguistischer Lernverfahren
Prof. Dr. Stefan Evert
(01.10.2016 - 30.09.2017)


Englisches Konstruktikon
Prof. Dr. Stefan Evert; Prof. Dr. Thomas Herbst
(01.01.2016)


Mehrsprachigkeit und Migration
Prof. Dr. Eva Breindl; Prof. Dr. Lutz Edzard; Prof. Dr. Stefan Evert; Cordula Glass; Prof. Dr. Thomas Herbst; Prof. Dr. Silke Jansen; Prof. Dr. Magdalena Michalak; Prof. Dr. Thorsten Piske; Katrin Schwanke; Dr. Anja Steinlen
(01.01.2016)


(KALLIMACHOS – Zentrum für digitale Edition und quantitative Analyse an der Universität Würzburg):
KALLIMACHOS: Korpuslinguistische Methoden und statistische Auswertungen im Digital Humanities-Zentrum KALLIMACHOS
Prof. Dr. Stefan Evert
(01.10.2014 - 30.09.2017)



Publikationen

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Büttner, A., Dimpel, F., Evert, S., Jannidis, F., Pielström, S., Proisl, T.,... Vitt, T. (2017). »Delta« in der stilometrischen Autorschaftsattribution. Zeitschrift für digitale Geisteswissenschaften. https://dx.doi.org/10.17175/2017_006
Evert, S., Heinrich, P., Henselmann, K., Rabenstein, U., Scherr, E., & Schröder, L. (2017). Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures. In Loukanova R, Liefke K (Eds.), Proceedings of the Workshop on Logic and Algorithms in Computational Linguistics 2017 (LACompLing2017) (pp. 47 - 62). Stockholm, SE: Stockholm: Stockholm University.
Proisl, T., Heinrich, P., Evert, S., & Kabashi, B. (2017). Translation Inference across Dictionaries via a Combination of Graph-based Methods and Co-occurrence Statistics. In McCrae J, Bond F, Buitelaar P, Cimiano P, Declerck T, Gracia J, Kernerman I, Ponsoda E, Ordan N, Piasecki M (Eds.), Proceedings of the LDK 2017 Workshops: 1st Workshop on the OntoLex Model (OntoLex-2017), Shared Task on Translation Inference Across Dictionaries & Challenges for Wordnets (pp. 94–102). Galway, IE: CEUR.
Evert, S., Proisl, T., Jannidis, F., Reger, I., Pielström, S., Schöch, C., & Vitt, T. (2017). Understanding and explaining Delta measures for authorship attribution. Digital Scholarship in the Humanities, 32(suppl_2), ii4–ii16. https://dx.doi.org/10.1093/llc/fqx023
Lapesa, G., & Evert, S. (2017). Large-scale evaluation of dependency-based DSMs: Are they worth the effort? In Proceedings of the 15th Annual Meeting of the European Association for Computational Linguistics (EACL 2017): Volume 2, Short Papers (pp. 394-400). Valencia, Spain.
Evert, S., & Neumann, S. (2017). The impact of translation direction on characteristics of translated texts. A multivariate analysis for English and German. In De Sutter G, Lefer M, Delaere I (Eds.), Empirical Translation Studies. New Theoretical and Methodological Traditions (pp. 47-80). Berlin: Mouton de Gruyter.
Evert, S., Uhrig, P., Bartsch, S., & Proisl, T. (2017). E-VIEW-Alation – a Large-Scale Evaluation Study of Association Measures for Collocation Identification. In Iztok K, Carole T, Miloš J, Jelena K, Simon K, and Vít B (Eds.), Electronic Lexicography in the 21st Century. Proceedings of the eLex 2017 Conference (pp. 531–549). Leiden, NL: Brno: Lexical Computing.
Evert, S., Wankerl, S., & Nöth, E. (2017). Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch. Paper presentation, Birmingham, GB.
Schäfer, F., Evert, S., & Heinrich, P. (2017). Japan’s 2014 General Election: Political Bots, Right-Wing Internet Activism and PM Abe Shinzō’s Hidden Nationalist Agenda. Big Data, 5(4), 1 - 16.
Evert, S., Greiner, P., Baigger, F., & Lang, B. (2016). A Distributional Approach to Open Questions in Market Research. Computers in Industry, 78, 16-28.
Kabashi, B., & Proisl, T. (2016). A Proposal for a Part-of-Speech Tagset for the Albanian Language. In Calzolari Nicoletta, Choukri Khalid, Declerck Thierry, Grobelnik Marko, Maegaard Bente, Mariani Joseph, Moreno Asuncion, Odijk Jan, Piperidis Stelios (Eds.), Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (pp. 4305–4310). Portorož, SI: Paris: European Language Resources Association (ELRA).
Wankerl, S., Nöth, E., & Evert, S. (2016). An Analysis of Perplexity to Reveal the Effects of Alzheimer's Disease on Language. In ITG-Fachbericht 267: Speech Communication (pp. 254-259). Paderborn, Germany.
Evert, S., Beißwenger, M., Bartsch, S., & Würzner, K.-M. (2016). EmpiriST 2015: A Shared Task on the Automatic Linguistic Annotation of Computer-Mediated Communication and Web Corpora. In Proceedings of the 10th Web as Corpus Workshop (WAC-X) and the EmpiriST Shared Task (pp. 44-56). Berlin, DE: Berlin, Germany.
Evert, S. (2016). CogALex-V Shared Task: Mach5 – A traditional DSM approach to semantic relatedness. In Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V) (pp. 92-97). Osaka, Japan.
Evert, S., Jannidis, F., Dimpel, F., Schöch, C., Pielström, S., Vitt, T.,... Proisl, T. (2016). „Delta“ in der stilometrischen Autorschaftsattribution. Paper presentation at DHd 2016, Leipzig, DE.
Santus, E., Gladkova, A., Evert, S., & Lenci, A. (2016). The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations. In Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V) (pp. 69-79). Osaka, Japan.
Proisl, T., & Uhrig, P. (2016). SoMaJo: State-of-the-art tokenization for German web and social media texts. In Cook P, Evert S, Schäfer R, Stemle E (Eds.), Proceedings of the 10th Web as Corpus Workshop (WAC-X) and the EmpiriST Shared Task (pp. 57-62). Berlin, DE: Berlin: Association for Computational Linguistics (ACL).
Plotnikova, N., Kohl, M., Volkert, K., Lerner, A., Dykes, N., Ermer, H., & Evert, S. (2015). KLUEless: Polarity Classification and Association. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) (pp. 619--625). Denver, Colorado.
Evert, S., & Arppe, A. (2015). Some theoretical and experimental observations on naïve discriminative learning. In Proceedings of the 6th Conference on Quantitative Investigations in Theoretical Linguistics (QITL-6). Tübingen, Germany.
Evert, S., Proisl, T., Jannidis, F., Pielström, S., Schöch, C., & Vitt, T. (2015). Towards a better understanding of Burrows's Delta in literary authorship attribution. In Proceedings of the Fourth Workshop on Computational Linguistics for Literature (pp. 79--88). Denver, CO.

Zuletzt aktualisiert 2018-09-05 um 04:30