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Unsupervised Language Acquisition ...
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Abstract:
This thesis presents a computational theory of unsupervised language acquisition, precisely defining procedures for learning language from ordinary spoken or written utterances, with no explicit help from a teacher. The theory is based heavily on concepts borrowed from machine learning and statistical estimation. In particular, learning takes place by fitting a stochastic, generative model of language to the evidence. Much of the thesis is devoted to explaining conditions that must hold for this general learning strategy to arrive at linguistically desirable grammars. The thesis introduces a variety of technical innovations, among them a common representation for evidence and grammars, and a learning strategy that separates the ``content'' of linguistic parameters from their representation. Algorithms based on it suffer from few of the search problems that have plagued other computational approaches to language acquisition. The theory has been tested on problems of learning vocabularies and grammars from ... : PhD thesis, 133 pages ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.cmp-lg/9611002 https://arxiv.org/abs/cmp-lg/9611002
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The Unsupervised Acquisition of a Lexicon from Continuous Speech.
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In: DTIC AND NTIS (1995)
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The Unsupervised Acquisition of a Lexicon from Continuous Speech ...
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The Acquisition of a Lexicon from Paired Phoneme Sequences and Semantic Representations ...
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Methods for Parallelizing Search Paths in Phrasing
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In: DTIC AND NTIS (1993)
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