Max M. Louwerse

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Advances in computational linguistics and discourse processing have made it possible to automate many language- and text-processing mechanisms. We have developed a computer tool called Coh-Metrix, which analyzes texts on over 200 measures of cohesion, language, and readability. Its modules use lexicons, part-of-speech classifiers, syntactic parsers,(More)
AutoTutor is a learning environment that tutors students by holding a conversation in natural language. AutoTutor has been developed for Newtonian qualitative physics and computer literacy. Its design was inspired by explanation-based constructivist theories of learning, intelligent tutoring systems that adaptively respond to student knowledge, and(More)
Studies of embodied cognition have shown that comprehenders process iconic word pairs (attic-basement) more quickly than reverse-iconic pairs (basement-attic) when the pairs are presented to them in a vertical spatial arrangement. This effect disappears in a horizontal spatial arrangement. This has been claimed to show that comprehenders perceptually(More)
Previous studies have shown that object properties are processed faster when they follow properties from the same perceptual modality than properties from different modalities. These findings suggest that language activates sensorimotor processes, which, according to those studies, can only be explained by a modal account of cognition. The current paper(More)
Comprehension and production of text and discourse do not solely depend on linguistic expressions, but also on the physical context. The questions addressed in this study are 1) whether deictic gestures are substitutable for deictic expressions, and 2) whether deictic gestures establish joint attention. An eye tracking experiment investigated the effect of(More)
Speech act classification remains one of the challenges in natural language processing. This paper evaluates a classification system that assigns one of twelve dialog acts to an utterance from the Map Task Corpus. The dialog act classification system chooses a dialog act based on n-grams from a training set. The system’s performance is comparable to other(More)
A variety of theoretical frameworks predict the resemblance of behaviors between two people engaged in communication, in the form of coordination, mimicry, or alignment. However, little is known about the time course of the behavior matching, even though there is evidence that dyads synchronize oscillatory motions (e.g., postural sway). This study examined(More)
Whether computational algorithms such as latent semantic analysis (LSA) can both extract meaning from language and advance theories of human cognition has become a topic of debate in cognitive science, whereby accounts of symbolic cognition and embodied cognition are often contrasted. Albeit for different reasons, in both accounts the importance of(More)
Population counts and longitude and latitude coordinates were estimated for the 50 largest cities in the United States by computational linguistic techniques and by human participants. The mathematical technique Latent Semantic Analysis applied to newspaper texts produced similarity ratings between the 50 cities that allowed for a multidimensional scaling(More)