2,649 research outputs found
"Derivational" paradigms in morphonology
Traditionally, paradigms were used to deal with inflection in inflectionally rich languages. Only recently (Calder, 1989; Carstairs-McCarthy, 1988, 1992) paradigms have been the object of a far-reaching investigation covering their formal and computational properties. This investigation has highligthed the significance of a paradigm-based treatment of morphonological phenomena and its theoretical implications. In this paper, we show how derivational processes in Morphology can be treated paradigmatically by using a morphonological network. The approach is not only theoretical speculation but has been subjected to the practical test of a computer implementation. This implementation leads, in our opinion, to a conceptually and computationally cleaner treatment of Morphonolog
"You'd Better Say Nothing Than Say Something Wrong": Analogy, Accuracy and Text-To-Speech Applications
On the pronunciation of unknown words by analogy in text-to-speech systems: an evaluation
Resolving syntactic ambiguities with lexico-semantic patterns: an analogy-based approach
A system for the resolution of syntactic ambiguities is illustrated which operates on morpho-syntactically ambiguous subject-object assignments in Italian adn tries to find the most likely analysis on the basis of the evidence contained in a knowledge base of linguistic data automatically extracted from on-line resources. The system works on the basis of a set of straightforward analogy-based principles. Its performance on a substantial corpus of test data extracted from real texts is described
Inferring semantic similarity from distributional evidence: an analogy-based approach to word sense disambiguation
The paper describes an analogy-based measure of word-sense proximity grounded on distributional evidence in typical contexts, and illustrates a computational system which makes use of this measure for purposes of lexical disambiguation. Experimental results show that word sense-analogy based on contexts of use compares favourably with classical word-sense similarity defined in terms of thesaural proximity
Example-based word sense disambiguation: a paradigm-driven approach
The paper describes an example-based approach to word sense disambiguation:
words in a pre-processed text corpus are automatically linked to their corresponding
senses in a machine readable dictionary (MRD) by using information automatically
extracted from the MRD. For each word sense, typical contexts of use were acquired
and structured as "paradigmatic structures" on the basis of distributional criteria.
Word sense disambiguation is modelled as a process of "paradigm extension"
grounded on the acquired paradigmatic structures. The technique, already applied
with success to a number of Natural Language Processing (NLP) applications, is
currently under extensive test for word sense disambiguation: preliminary results
look promising
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