Support and IT Maintenance

Z2 was a central service project supporting the research projects in the SFB 833 in applying experimental methods and in information technology issues. As regards experimentation, the SFB researchers benefitted from advice and support when testing hypotheses on human language processing, comprehension or production. Z2 accompanied colleagues in planning, designing, implementing and carrying out experiments, as well as in statistical data analysis and in the reporting of findings. IT maintenance covered system administration and laboratory management.


  • Gauza, H., Störzer, M. & Hörnig, R. (under revision). The role of competition: An evaluation of Sentence Fragment Arrangement as a method for determining linearization preferences.
  • Gattnar, A., Heininger, J. & Hörnig, R. (accepted). The Russian perfective present in performative utterances. In D. Lenertová, R. Meyer, R. Šimík & L. Szucsich (Eds.), Advances in Formal Slavic Linguistics 2016
  • Günther, F., Dudschig, C. & Kaup, B. (2017). Symbol grounding without direct experience: Do words inherit sensorimotor activation from purely linguistic context? Cognitive Science. Advance online publication. doi: 10.1111/cogs.12549.
  • Lukassek, J., Prysłopska, A., Hörnig, R. & Maienborn, C. (2017). The semantic processing of motion verbs: Coercion or underspecification? Journal of Psycholinguistic Research 46, 805-825.
  • Günther, F., Dudschig, C. & Kaup, B. (2016). Predicting lexical priming effects from distributional semantic similarities: A replication with extension. Frontiers in Psychology 7, art.nr. 1646.
  • Günther, F., Dudschig, C. & Kaup, B. (2016). Latent Semantic Analysis cosines as a cognitive similarity measure: Evidence from priming studies. Quarterly Journal of Experimental Psychology 69, 626-653.
  • Günther, F., & Marelli, M. (2016). Understanding karma police: The perceived plausibility of noun compounds as predicted by distributional models of semantic representation. PLoS ONE 11(10), art.nr. e0163200.
  • Günther, F., Dudschig, C. & Kaup, B. (2015). LSAfun – An R package for computations based on Latent Semantic Analysis. Behavior Research Methods 47, 930-944


Introduction to OnExp: Slides

Project Z2 provides semantic spaces, created via Latent Semantic Analysis (LSA), for computations with R: