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Revista Brasileira de Linguística Aplicada

On-line version ISSN 1984-6398

Abstract

BAAYEN, R. Harald. Corpus linguistics and naive discriminative learning. Rev. bras. linguist. apl. [online]. 2011, vol.11, n.2, pp.295-328. ISSN 1984-6398.  http://dx.doi.org/10.1590/S1984-63982011000200003.

Three classifiers from machine learning (the generalized linear mixed model, memory based learning, and support vector machines) are compared with a naive discriminative learning classifier, derived from basic principles of error-driven learning characterizing animal and human learning. Tested on the dative alternation in English, using the Switchboard data from (BRESNAN; CUENI; NIKITINA; BAAYEN, 2007), naive discriminative learning emerges with stateof-the-art predictive accuracy. Naive discriminative learning offers a united framework for understanding the learning of probabilistic distributional patterns, for classification, and for a cognitive grounding of distinctive collexeme analysis.

Keywords : machine learning; dative alternation; Switchboard; probabilistic distributional patterns; collexeme analysis.

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