Computational Cognitive Morphosemantics: Modeling Morphological Compositionality in Hebrew Verbs with Embodied Construction Grammar
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چکیده
منابع مشابه
Computational Cognitive Morphosemantics: Modeling Morphological Compositionality in Hebrew Verbs with Embodied Construction Grammar
This paper brings together the theoretical framework of construction grammar and studies of verbs in Modern Hebrew to furnish an analysis integrating the form and meaning components of morphological structure. In doing so, this work employs and extends Embodied Construction Grammar (ECG; Bergen and Chang 2005), a computational formalism developed to study grammar from a cognitive linguistic per...
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The objective of this paper is to bring us a little bit closer to a general Neuro -Cognitive Theory of Cognition in Language and Thought that can account for the mechanics of language understanding, studied by the models of AI or connectionism, and the biology, explained by neurology and psychobiology. Embodied Construction Grammar (Bergen et al. 2001) provides a formalism to show conceptual re...
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Construction-based approaches to grammar are driven by the insight that meaning plays a crucial role in answering this question: the meanings of both words and grammatical structures can affect grammaticality, and they should therefore be incorporated into grammatical representations. To wit, the various approaches presented in this volume take this tack in predicting the grammaticality of utte...
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Morphological analysis is a crucial component of several natural language processing tasks, especially for languages with a highly productive morphology, where stipulating a full lexicon of surface forms is not feasible. This paper describes HAMSAH (HAifa Morphological System for Analyzing Hebrew), a morphological processor for Modern Hebrew, based on finite-state linguistically motivated rules...
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This paper offers an Embodied Construction Grammar (Feldman et al. 2010) representation of caused motion, thereby also providing (a sample of) the computational infrastructure for implementing the information that FrameNet has characterized as Caused_motion (Ruppenhofer et al. 2010). This work specifies the semantic structure of caused motion in natural language, using an Embodied Construction ...
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ژورنال
عنوان ژورنال: Annual Meeting of the Berkeley Linguistics Society
سال: 2010
ISSN: 2377-1666,0363-2946
DOI: 10.3765/bls.v36i1.3923