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AGL

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Jager 2012 Formal Lang Theory refining the Chomsky hierarch.pdf
Jager 2012 Formal Lang Theory refining the Chomsky hierarch.pdf
Joshi 1985 TAGs how much context-sensitivity is required.pdf
Joshi 1985 TAGs how much context-sensitivity is required.pdf
Kamiyama_2014 Synchronized tapping facilitates learning sound seq P300.pdf
Kamiyama_2014 Synchronized tapping facilitates learning sound seq P300.pdf
Kikuchi 2018 Evolutionarily conserved neural signatures involved in sequencing predictions and their relevance for language.html
Kikuchi 2018 Evolutionarily conserved neural signatures involved in sequencing predictions and their relevance for language.html
Knowlton 1990 The info acquired during artificial grammar learnign.pdf
Knowlton 1990 The info acquired during artificial grammar learnign.pdf
Levelt-2019-Topics_in_Cognitive_Science.pdf
Levelt-2019-Topics_in_Cognitive_Science.pdf
Lieberman 2004 An Event-related fMRI Study of Artificial Grammar .pdf
Lieberman 2004 An Event-related fMRI Study of Artificial Grammar .pdf
Longley 2011 CSL EXAMPLES inf2a L28 slides.pdf
Longley 2011 CSL EXAMPLES inf2a L28 slides.pdf
Longley 2011 CSL LBA TURING inf2a L29 slides.pdf
Longley 2011 CSL LBA TURING inf2a L29 slides.pdf
Longley 2014 NATURAL LANGUAGE inf2a L25 slides.pdf
Longley 2014 NATURAL LANGUAGE inf2a L25 slides.pdf
Lupp 2016 context-sensitive.pdf
Lupp 2016 context-sensitive.pdf
Marcus 1999 Rule Learning by Seven month old infants.pdf
Marcus 1999 Rule Learning by Seven month old infants.pdf
Mark J. Steedman 1984 A Generative Grammar for Jazz Chord Sequences.pdf
Mark J. Steedman 1984 A Generative Grammar for Jazz Chord Sequences.pdf
Newport Aslin 2004 Learning at a distance Statistical learning of.pdf
Newport Aslin 2004 Learning at a distance Statistical learning of.pdf
Nowak 2002 Computational and evolutionary aspects.pdf
Nowak 2002 Computational and evolutionary aspects.pdf
Opitz 2007 Neural Basis of Processing Sequential and Hierarchical Syntactic Structures.pdf
Opitz 2007 Neural Basis of Processing Sequential and Hierarchical Syntactic Structures.pdf
Perruchet and Pacteau 1990 Synthetic_Grammar_Learning_Implicit_Rule_Abstracti.pdf
Perruchet and Pacteau 1990 Synthetic_Grammar_Learning_Implicit_Rule_Abstracti.pdf
Petersson et al 2004 Artificial syntactic violations activate Broca’s region.pdf
Petersson et al 2004 Artificial syntactic violations activate Broca’s region.pdf
Petersson et al 2012 What artificial grammar learning reveals about the neurobiology of syntax.pdf
Petersson et al 2012 What artificial grammar learning reveals about the neurobiology of syntax.pdf
Petterson 2012 The neurobiology of syntax beyond string sets.pdf
Petterson 2012 The neurobiology of syntax beyond string sets.pdf
Poletiek 2018 AGL Under What Conditions Can Recursion Be Learned.pdf
Poletiek 2018 AGL Under What Conditions Can Recursion Be Learned.pdf
Pothos 2007 Theories of AGL.pdf
Pothos 2007 Theories of AGL.pdf
Pothos EM 2010 An entropy model for artificial grammar learning.pdf
Pothos EM 2010 An entropy model for artificial grammar learning.pdf
Pullum et Scholz 2001 More than words.pdf
Pullum et Scholz 2001 More than words.pdf
Pullum Footloose and context-free.pdf
Pullum Footloose and context-free.pdf
Pullum Rogers 2006 Animal Pattern-Learning Experiments Some Mathematical Background.pdf
Pullum Rogers 2006 Animal Pattern-Learning Experiments Some Mathematical Background.pdf
Pullum Scholz 2007 Systematicity and Natural.pdf
Pullum Scholz 2007 Systematicity and Natural.pdf
Pullum Scholz 2011 Recursion and the infinitude claim.pdf
Pullum Scholz 2011 Recursion and the infinitude claim.pdf
Pullum ZOO BBS The myth of language universals.pdf
Pullum ZOO BBS The myth of language universals.pdf
Pullum-Gazdar1982_Article_NaturalLanguagesAndContext-fre.pdf
Pullum-Gazdar1982_Article_NaturalLanguagesAndContext-fre.pdf

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