495 Syntax - Morphology - Semantics Semantic Clusters Combined with Kinematics: The Case of English and Modern Greek Motion Verbs Marietta Sionti 1 , Leonardo Claudino 2 , Yiannis Aloimonos 2 , Carolyn P. Rose 3 , Stella Markantonatou 4 1 University of Athens, 2 University of Maryland, 3 Carnegie Mellon University, 4 Institute for Language and Speech Processing/‘R.C.Athena’ msiodi@phil.uoa.gr, claudino@cs.umd.edu, yiannis@cs.umd.edu, cprose@cs.cmu.edu, marks@ilsp.athena-innovation.gr Abstract We combine corpus driven linguistic knowledge with experimentally obtained sensorimotor data in an efort to better specify the minimum conceptual representation of a motion event that distinguishes it from all other events, which still are largely presented in a vague and not objectively calculated quantitative method. We use American English and Modern Greek data as a case study, in order to focus on the clustering of motor actions and its correspondence to previous linguistic classifcations of both languages. 1. Introduction In the present work, we attempt to ground linguistic notions to sensorimotor data, in order to specify both linguistic and psychological terms based on embodied characteristics. Sensorimotor data are collected by measuring the performance of Modern Greek and American English native speakers. Based on these results, we attempt to create monolingual semantic classifcations of verbs drawing on sensorimotor data and classify verbal semantic and syntactic properties. Moreover, the desired outcome of this work is a perceptual grounding of abstract linguistic notions, such as directionality and transitivity, which have traditionally been used in the linguistic studies of motion verbs. Robust classifcation serves both as an efective monolingual and crosslingual study of motion verbs of American English and Modern Greek. In the remainder of the paper, we describe the classifcations of Modern Greek (Antonopoulou, 1987) and American English (Levin, 1993; FrameNet) motion verbs. We then discuss the verb collection criteria, the method for Unauthenticated Download Date | 5/21/19 2:24 PM