Cognitive Science–1028 Copyright © 2005 Cognitive Science Society, Inc. All rights reserved. Uncovering the Richness of the Stimulus: Structure Dependence and Indirect Statistical Evidence Florencia Rea

First Page		Document Content
Date: 2006-01-31 17:20:54 Linguistics Cognitive science Cognition Grammar Generative linguistics Syntax Natural language processing Poverty of the stimulus N-gram Language model Bigram Linguistic competence		Cognitive Science–1028 Copyright © 2005 Cognitive Science Society, Inc. All rights reserved. Uncovering the Richness of the Stimulus: Structure Dependence and Indirect Statistical Evidence Florencia Rea Add to Reading List Source URL: cnl.psych.cornell.edu Download Document from Source Website File Size: 251,92 KB Share Document on Facebook

	Increasing Usability of Spin-based C Code Verification Using a Harness Definition Language Leveraging Model-driven Code Checking to Practitioners Daniel Ratiu Andreas Ulrich DocID: 1xVPm - View Document
	Unbounded Model-Checking with Interpolation for Regular Language Constraints Graeme Gange, Jorge A. Navas, Peter J. Stuckey, Harald Søndergaard, and Peter Schachte The University of Melbourne {ggange,jnavas,pjs,harald,s DocID: 1xVMq - View Document
	Universal Language Model Fine-tuning for Text Classification Jeremy Howard∗ fast.ai University of San Francisco DocID: 1xVLw - View Document
	Language-level Symmetry Reduction for Probabilistic Model Checking Alastair F. Donaldson Alice Miller David Parker Computing Laboratory Department of Computing Science DocID: 1xVun - View Document
	Indian Education for All Model Teaching Units Language Arts - Elementary Level Volume One DocID: 1vpGj - View Document