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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 The Chinese Route Argument: Predicting the Longitude and Latitude of Cities in China and the Middle East Using Statistical Linguistic Frequencies Max M. Louwerse; Zhiqiang Cai In: http://mindmodeling.org/cogsci2012/papers/0130/paper0130.pdf (2012) BASE Show details 2 Representing Spatial Structure Through Maps and Language: Lord of the Rings Encodes the Spatial Structure of Middle Earth Max M. Louwerse; Nick Benesh In: http://www.madresearchlab.org/Selected_Publications_files/TolkienCogSci.pdf (2012) BASE Show details 3 Effects of ambiguous gestures and language on the time course of reference resolution Max M. Louwerse; A Adrian Bangerter B In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseBangerterDoc.pdf (2010) BASE Show details 4 Symbol interdependency in symbolic and embodied cognition Max M. Louwerse In: http://www.madresearchlab.org/Selected_Publications_files/topics.pdf (2010) BASE Show details 5 Language encodes geographical information Max M. Louwerse; A Rolf A. Zwaan B In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseZwaan2009.pdf (2009) BASE Show details 6 Multi-dimensional register classification using bigrams Scott A. Crossley; Max M. Louwerse In: http://www.madresearchlab.org/Selected_Publications_files/CrossleyLouwerse2006.pdf (2007) BASE Show details 7 Symbolic or . . . : A Case for Symbol Interdependency Max M. Louwerse In: http://www.madresearchlab.org/Selected_Publications_files/Louwerse2007.pdf (2007) BASE Show details 8 Focusing attention with deictic gestures and linguistic expressions Max M. Louwerse In: http://www.psych.unito.it/csc/cogsci05/frame/talk/f727-louwerse.pdf (2005) BASE Show details 9 Focusing attention with deictic gestures and linguistic expressions Max M. Louwerse In: http://csjarchive.cogsci.rpi.edu/Proceedings/2005/docs/p1331.pdf (2005) BASE Show details 10 Focusing attention with deictic gestures and linguistic expressions Max M. Louwerse In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseBangerter2005.pdf (2005) BASE Show details 11 Coh-Metrix: Analysis of text on cohesion and language Arthur C. Graesser; Danielle S. Mcnamara; Max M. Louwerse... In: http://www.madresearchlab.org/Selected_Publications_files/GraesserMcNamaraLouwerseCai2007.pdf (2004) BASE Show details 12 Semantic variation in idiolect and sociolect: Corpus linguistic evidence from literary texts Max Louwerse; Max M. Louwerse In: http://www.madresearchlab.org/Selected_Publications_files/Louwerse2004.pdf (2004) Abstract: Abstract. Idiolects are person-dependent similarities in language use. They imply that texts by one author show more similarities in language use than texts between authors. Sociolects, on the other hand, are group-dependent similarities in language use. They imply that texts by a group of authors, for instance in terms of gender or time period, share more similarities within a group than between groups. Although idiolects and sociolects are commonly used terms in the humanities, they have not been investigated a great deal from corpus and computational linguistic points of view. To test several idiolect and sociolect hypotheses a factorial combination was used of time period (Modernism, Realism), gender of author (male, female) and author (Eliot, Dickens, Woolf, Joyce) totaling 16 corresponding literary texts. In a series of corpus linguistic studies using Boolean and vector models, no conclusive evidence was found for the selected idiolect and sociolect hypotheses. In final analyses testing the semantics within each literary text, this lack of evidence was explained by the low homogeneity within a literary text. Keyword: analysis URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.2440 http://www.madresearchlab.org/Selected_Publications_files/Louwerse2004.pdf BASE Hide details 13 Variation in language and cohesion across written and spoken registers Max M. Louwerse; Philip M. Mccarthy; Danielle S. Mcnamara... In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseMCarthyCogSci2004.pdf (2004) BASE Show details 14 Variation in language and cohesion across written and spoken registers Max M. Louwerse In: http://www.autotutor.org/publications/addpaper/louwersemccarthymcnamaragraesser2004.pdf (2004) BASE Show details 15 Towards a taxonomy of a set of discourse markers in dialog: a theoretical and computational linguistic account Max M. Louwerse; Heather Hite Mitchell In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseMitchell2003.pdf (2003) BASE Show details 16 Robust Recognition of Emotion from Speech Mohammed E. Hoque; Mohammed Yeasin; Max M. Louwerse In: http://mehoque.com/Publications/IVA-Hoque-Yeasin-Louwerse.pdf BASE Show details 17 How Fundamental is Embodiment to Language Comprehension? Constraints on Embodied Cognition Max M. Louwerse; Patrick Jeuniaux In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1313.pdf BASE Show details 18 Verifying properties from different emotions produces switching costs: Evidence for coarse-grained language statistics and fine-grained perceptual simulation Richard Tillman; Max M. Louwerse In: http://mindmodeling.org/cogsci2013/papers/0630/paper0630.pdf BASE Show details 19 doi:10.3758/PBR.15.4.838 Embodied relations are encoded in language Max M. Louwerse In: http://www.madresearchlab.org/Selected_Publications_files/LouwersePBR2008.pdf BASE Show details 20 The Interaction between Information and Intonation Structure: Prosodic Marking of Theme and Rheme Max M. Louwerse; Patrick Jeuniaux; Bin Zhang... In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1984.pdf BASE Show details Page: 1 2

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