25.2611, Books: Understanding bit by bit: Manika

Wed Jun 18 00:12:23 UTC 2014

LINGUIST List: Vol-25-2611. Tue Jun 17 2014. ISSN: 1069 - 4875.

Subject: 25.2611, Books: Understanding bit by bit: Manika

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Date: Tue, 17 Jun 2014 20:12:04
From: Martine Paulissen [lot at uu.nl]
Subject: Understanding bit by bit: Manika

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Title: Understanding bit by bit 
Subtitle: Information theory and the role of inflections in sentence processing 
Series Title: LOT Dissertation Series  

Publication Year: 2014 
Publisher: Netherlands Graduate School of Linguistics / Landelijke (LOT)
	   http://www.lotpublications.nl/

Book URL: http://www.lotpublications.nl/index3.html 

Author: Sophia Manika

Electronic: ISBN: 9789460931  Pages:  Price: ----  

Abstract:

What makes a sentence hard to process? Apart from the meanings of the words it
contains, their number, and the way these words combine into constituents,
words also contribute to processing difficulty on the basis of their
accessibility in lexical retrieval. Apart from their frequency of use or their
complexity in form, accessibility is also influenced by the number and roles
of the related forms in the paradigms in which they are stored. This is a
factor that so far has not been sufficiently taken into account. As is
experimentally shown in this dissertation, a measure for this is the
inflectional entropy, an information-theoretic measure that quantifies the
support that a word receives from its inflectional paradigm, during
activation. This study investigates how the speed of sentence processing is
modulated by the interaction of the linguistic-imposed constraints and the
processing resources, as quantified by the inflectional entropy, within- and
between-sentences and within- and between-languages. The experimental data
indicate that the processing speed of a reflexive object, like the Dutch
zichzelf, unlike a definite NP like Maria, depends on how the main verb is
processed, providing evidence that the reflexive’s interpretation requires an
operation on the verb. Moreover, it is demonstrated that processing speed
benefits from rich morphology. In fact, morphologically rich languages, like
Greek, despite having longer words and more complicated paradigms, also have
verbs with higher inflectional entropy than morphologically poor languages,
like Dutch. As such, they require fewer processing resources during first
activation, boosting computations that are costly.

Linguistic Field(s): Computational Linguistics
                     Morphology
                     Psycholinguistics
                     Syntax

Subject Language(s): Dutch (nld)
                     Greek, Modern (ell)

Written In: English  (eng)

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