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Title:
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A Computational Model of Derivational Morphology
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Author:
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Bruce Mayo
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Email:
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click here to access email
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Degree Awarded:
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Universität Hamburg
, Department of Computer Science
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Degree Date:
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1999
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Linguistic Subfield(s):
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Computational Linguistics
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Subject Language(s):
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French
Plautdietsch
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Director(s):
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Christopher Habel
Christoph Schwarze
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Abstract:
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This dissertation addresses a dilemma in the representation of morphologically derived words. Linguistic evidence commonly cited in support of Lexical Integrity prohibits the analysis of transparently understandable derivations in syntax; other, contradicting evidence appears to require syntax for morphological derivation, thus blurring the distinction between syntax and morphology.
The proposed solution is a computational model, drawing on corpus-statistical, psychological, and linguistic evidence, that allows for dual representations of complex words in the framework of a unification grammar formalism (LFG). Operating somewhat differently from syntax, the model's morphological component can, in principle, carry out conceptually complex derivations to produce new syntactic and semantic representations. While the model accounts for many phenomena elsewhere explained by theories of syntactic incorporation, this component operates outside the syntactic system, thus preserving Lexical Integrity. The model also proposes a component for segmentation prior to morphological analysis.
In the final chapter a computational implementation that can construct the semantics of a sentence containing the Italian nonce word "disiscrivere" 'ex-matriculate' is described. A summary in German and the English text are available for download at:
http://www.sub.uni-hamburg.de/opus/volltexte/1999/386/
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