[BOOK][B] Linguistic Nativism and the Poverty of the Stimulus
This unique contribution to the ongoing discussion of language acquisition considers the
Argument from the Poverty of the Stimulus in language learning in the context of the wider …
Argument from the Poverty of the Stimulus in language learning in the context of the wider …
A computational model of early argument structure acquisition
A Alishahi, S Stevenson - Cognitive science, 2008 - Wiley Online Library
How children go about learning the general regularities that govern language, as well as
kee** track of the exceptions to them, remains one of the challenging open questions in …
kee** track of the exceptions to them, remains one of the challenging open questions in …
Behavioral and computational aspects of language and its acquisition
S Edelman, H Waterfall - Physics of Life Reviews, 2007 - Elsevier
One of the greatest challenges facing the cognitive sciences is to explain what it means to
know a language, and how the knowledge of language is acquired. The dominant approach …
know a language, and how the knowledge of language is acquired. The dominant approach …
[BOOK][B] Empiricism and language learnability
This interdisciplinary new work explores one of the central theoretical problems in
linguistics: learnability. The authors, from different backgrounds—-linguistics, philosophy …
linguistics: learnability. The authors, from different backgrounds—-linguistics, philosophy …
Distributional learning of context-free and multiple context-free grammars
A Clark, R Yoshinaka - Topics in grammatical inference, 2016 - Springer
This chapter reviews recent progress in distributional learning in grammatical inference as
applied to learning context-free and multiple context-free grammars. We discuss the basic …
applied to learning context-free and multiple context-free grammars. We discuss the basic …
An empirical generative framework for computational modeling of language acquisition
HR Waterfall, B Sandbank, L Onnis… - Journal of child …, 2010 - cambridge.org
This paper reports progress in develo** a computer model of language acquisition in the
form of (1) a generative grammar that is (2) algorithmically learnable from realistic corpus …
form of (1) a generative grammar that is (2) algorithmically learnable from realistic corpus …
Machine learning theory and practice as a source of insightinto universal grammar
S Lappin, SM Shieber - Journal of Linguistics, 2007 - cambridge.org
In this paper, we explore the possibility that machine learning approaches to natural-
language processing being developed in engineering-oriented computational linguistics …
language processing being developed in engineering-oriented computational linguistics …
Unsupervised learning and grammar induction
In this chapter we consider unsupervised learning from two perspectives. First, we briefly
look at its advantages and disadvantages as an engineering technique applied to large …
look at its advantages and disadvantages as an engineering technique applied to large …
[PDF][PDF] Learning trees from strings: A strong learning algorithm for some context-free grammars
A Clark - The Journal of Machine Learning Research, 2013 - jmlr.org
Standard models of language learning are concerned with weak learning: the learner,
receiving as input only information about the strings in the language, must learn to …
receiving as input only information about the strings in the language, must learn to …
Identification in the Limit of k,l-Substitutable Context-Free Languages
R Yoshinaka - … and Applications: 9th International Colloquium, ICGI …, 2008 - Springer
Abstract Recently Clark and Eyraud (2005, 2007) have shown that substitutable context-free
languages are polynomial-time identifiable in the limit from positive data. Substitutability in …
languages are polynomial-time identifiable in the limit from positive data. Substitutability in …