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Very efficient learning of structured classes of subsequential functions from positive data
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In: The 12th International Conference on Grammatical Inference ; https://hal.archives-ouvertes.fr/hal-01193057 ; The 12th International Conference on Grammatical Inference, Sep 2014, Kyoto, Japan. pp.94-108 ; http://jmlr.org/proceedings/papers/v34/ (2014)
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Beyond semilinearity: Distributional learning of parallel multiple context-free grammars
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In: http://jmlr.org/proceedings/papers/v21/clark12a/clark12a.pdf (2012)
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Using contextual representations to efficiently learn context-free languages
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In: http://hal.archives-ouvertes.fr/docs/00/60/70/98/PDF/Learning_CBFG.pdf (2010)
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Using Contextual Representations to Efficiently Learn Context-Free Languages
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In: http://www.cs.rhul.ac.uk/home/alexc/papers/clark10a.pdf (2010)
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Computational Learning Theory and Language Acquisition
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In: http://www.cs.rhul.ac.uk/home/alexc/papers/clarklappinphil.pdf (2010)
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A polynomial algorithm for the inference of context free languages
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In: http://www.cs.rhul.ac.uk/home/alexc/papers/clarkBFGIcgi08.pdf (2008)
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Polynomial Identification in the limit of context-free substitutable languages
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In: ISSN: 1532-4435 ; EISSN: 1533-7928 ; Journal of Machine Learning Research ; https://hal.archives-ouvertes.fr/hal-00186889 ; Journal of Machine Learning Research, Microtome Publishing, 2007, 8, pp.1725--1745 (2007)
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Learning Auxiliary Fronting with Grammatical Inference
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In: http://www.cs.rhul.ac.uk/home/alexc/papers/clarkCogsci.pdf (2006)
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Learning Auxiliary Fronting with Grammatical Inference
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In: http://www.cs.rhul.ac.uk/home/alexc/papers/conllClark.pdf (2006)
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Learning Auxiliary Fronting with Grammatical Inference
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In: http://www.cs.rhul.ac.uk/home/alexc/papers/conll2006clarkFinal.pdf (2006)
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Learning Auxiliary Fronting with Grammatical Inference
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In: http://www.lif.univ-mrs.fr/~reyraud/documents/cogsci06_clark_eyraud.pdf (2006)
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Abstract:
We present a simple context-free grammatical inference algorithm, and prove that it is capable of learning an interesting subclass of context-free languages. We also demonstrate that an implementation of this algorithm is capable of learning auxiliary fronting in polar interrogatives (AFIPI) in English. This has been one of the most important test cases in language acquisition over the last few decades. We demonstrate that learning can proceed even in the complete absence of examples of particular constructions, and thus that debates about the frequency of occurrence of such constructions are irrelevant. We discuss the implications of this on the type of innate learning biases that must be hypothesized to explain first language acquisition.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.9945 http://www.lif.univ-mrs.fr/~reyraud/documents/cogsci06_clark_eyraud.pdf
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Planar languages and learnability
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In: http://www.cs.rhul.ac.uk/home/alexc/papers/icgiGiskFinal.pdf (2006)
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Identification in the limit of substitutable contextfree languages
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In: http://jmlr.csail.mit.edu/papers/volume8/clark07a/clark07a.pdf (2005)
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Grammatical Inference and the Argument from the Poverty of the Stimulus
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In: http://www.issco.unige.ch/staff/clark/SS704ClarkA.pdf (2004)
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Grammatical inference and the argument from the poverty of the stimulus. AAAI Spring Symposium on Interdisciplinary Approaches to Language Learning
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In: http://www.aaai.org/Papers/Symposia/Spring/2004/SS-04-05/SS04-05-004.pdf (2004)
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Pre-Processing Very Noisy Text
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In: http://www.BulTreeBank.org/SProLaC/paper02.pdf (2003)
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Unsupervised induction of Stochastic Context-Free Grammars using distributional clustering
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In: http://www.issco.unige.ch/staff/clark/conll01-final.pdf (2001)
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A Comparative Study of Mixture Models for Automatic Topic Segmentation of Multiparty
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In: http://www.aclweb.org/anthology-new/I/I08/I08-2133.pdf
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Rules and Exemplars in Language Acquisition
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In: http://staff.science.uva.nl/%7Erens/cogscisymposium08.pdf
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Unsupervised induction of stochastic context-free grammars using distributional clustering
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In: http://www.cnts.ua.ac.be/conll2001/pdf/10512cla.pdf
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