Collocations, multiword expressions and corpus-based discourse analysis

Lehrstuhl für Korpus- und Computerlinguistik


Cooccurrence patterns – such as collocations, multiword expression, valency and distributional semantics – play a central role not only in corpus linguistics but also for studying public discourses and political propaganda. We improve and refine the underlying analytical techniques and develop new interactive methods for multi-modal corpus-based discourse analysis.

Related Project(s)

EFE: Exploring the “Fukushima Effect”: Attitudes and opinions towards nuclear power and renewable energy and the emergence of a transnational algorithmic public sphere
Prof. Dr. Stefan Evert
(01/01/2017 - 31/12/2018)

Assigned publications

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.
Lapesa, G., & Evert, S. (2014). A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection. Transactions of the Association for Computational Linguistics, 2, 531–545.
Bartsch, S., & Evert, S. (2014). Towards a Firthian Notion of Collocation. In Abel A, Lemnitzer L (Eds.), Vernetzungsstrategien, Zugriffsstrukturen und automatisch ermittelte Angaben in Internetwörterbüchern (pp. 48–61). Mannheim: Institut für Deutsche Sprache.
Evert, S. (2013). Tools for the acquisition of lexical combinatorics. In Gouws RH, Heid U, Schweickard W, Wiegand HE (Eds.), Dictionaries. An International Encyclopedia of Lexicography. Supplementary volume: Recent Developments with Focus on Electronic and Computational Lexicography (HSK 5.4) (pp. 1415–1432). Berlin, New York: Mouton de Gruyter.
Proisl, T. (2012). Automatically exploring lexical tendencies in English. In Mukherjee Joybrato, Huber Magnus (Eds.), Corpus Linguistics and Variation in English: Theory and Description. (pp. 143–154). Amsterdam: Rodopi.
Uhrig, P., & Proisl, T. (2012). Less hay, more needles – using dependency-annotated corpora to provide lexicographers with more accurate lists of collocation candidates. Lexicographica, 28, 141–179.
Michelbacher, L., Evert, S., & Schütze, H. (2011). Asymmetry in Corpus-Derived and Human Word Associations. Corpus linguistics and linguistic theory, 7(2), 245–276.
Evert, S. (2008). Corpora and collocations. In Lüdeling A, Kytö M (Eds.), Corpus Linguistics. An International Handbook (pp. 1212-1248). Berlin, New York: Mouton de Gruyter.

Last updated on 2018-24-10 at 15:42