@book{BaayenKresseKirschneretal.2012, author = {Baayen, Rolf Harald and Kresse, Lara and Kirschner, Stefan and Dipper, Stefanie and Belke, Eva and Keuleers, Emmanuel and Brysbaert, Marc and New, Boris and Heister, Julian and Kliegl, Reinhold and Zinsmeister, Heike and Smolka, Eva and Briesemeister, Benny B. and Hofmann, Markus J. and Kuchinke, Lars and Jacobs, Arthur M.}, title = {Lexical resources in psycholinguistic research}, editor = {W{\"u}rzner, Kay-Michael and Pohl, Edmund}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, isbn = {978-3-86956-178-3}, issn = {2190-4545}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-59100}, publisher = {Universit{\"a}t Potsdam}, pages = {i, 66}, year = {2012}, abstract = {Experimental and quantitative research in the field of human language processing and production strongly depends on the quality of the underlying language material: beside its size, representativeness, variety and balance have been discussed as important factors which influence design, analysis and interpretation of experiments and their results. This volume brings together creators and users of both general purpose and specialized lexical resources which are used in psychology, psycholinguistics, neurolinguistics and cognitive research. It aims to be a forum to report experiences and results, review problems and discuss perspectives of any linguistic data used in the field.}, language = {en} } @phdthesis{Gerth2015, author = {Gerth, Sabrina}, title = {Memory limitations in sentence comprehension}, isbn = {978-3-86956-321-3}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-71554}, school = {Universit{\"a}t Potsdam}, pages = {xviii, 157}, year = {2015}, abstract = {This dissertation addresses the question of how linguistic structures can be represented in working memory. We propose a memory-based computational model that derives offline and online complexity profiles in terms of a top-down parser for minimalist grammars (Stabler, 2011). The complexity metric reflects the amount of time an item is stored in memory. The presented architecture links grammatical representations stored in memory directly to the cognitive behavior by deriving predictions about sentence processing difficulty. Results from five different sentence comprehension experiments were used to evaluate the model's assumptions about memory limitations. The predictions of the complexity metric were compared to the locality (integration and storage) cost metric of Dependency Locality Theory (Gibson, 2000). Both metrics make comparable offline and online predictions for four of the five phenomena. The key difference between the two metrics is that the proposed complexity metric accounts for the structural complexity of intervening material. In contrast, DLT's integration cost metric considers the number of discourse referents, not the syntactic structural complexity. We conclude that the syntactic analysis plays a significant role in memory requirements of parsing. An incremental top-down parser based on a grammar formalism easily computes offline and online complexity profiles, which can be used to derive predictions about sentence processing difficulty.}, language = {en} }