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https://doi.org/10.3115/170547...
Article . 2009 . Peer-reviewed
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On bootstrapping of linguistic features for bootstrapping grammars

Authors: Damir Ćavar;

On bootstrapping of linguistic features for bootstrapping grammars

Abstract

We discuss a cue-based grammar induction approach based on a parallel theory of grammar. Our model is based on the hypotheses of interdependency between linguistic levels (of representation) and inductability of specific structural properties at a particular level, with consequences for the induction of structural properties at other linguistic levels. We present the results of three different cue-learning experiments and settings, covering the induction of phonological, morphological, and syntactic properties, and discuss potential consequences for our general grammar induction model.

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Keywords

machine learning; language acquisition; statistical models, language acquisition, machine learning, statistical models

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze