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Title: Semantic Classification of Hungarian Predicates of Motion for Natural Language Processing
Author: Lidia Varga
Email: click here to access email
Degree Awarded: Université Paris 13 , Sciences du langages
Degree Date: 2007
Linguistic Subfield(s): Computational Linguistics
Subject Language(s): Hungarian
Director(s): Gaston Gross
Abstract:

The aim of this study is to propose a typology of predicates of motion in
Hungarian. The typology reflects a simple objective perception of motion
and space. The analysis uses the theory of object classes, which we applied
to Hungarian. The predicates of motion correspond to verb predicates, noun
predicates and to predicate adjectives. Our classification is based on
semantic properties such as directionality, mood, destination, goal, place
and the aspectual properties. These semantic properties are completed by
morpho-syntactic properties needed for natural language processing.

The contrastive component of our study has made it possible to propose a
better description of the classes of predicates in Hungarian and to bring
out the morpho-syntactic and combinatory differences specific to both
languages in the expression of motion, such as the role of verb prefixes,
locative complements, and to underline the importance of noun predicates.
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Page Updated: 26-Nov-2009

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