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Language, Brains & Interpretability ...
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Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations ...
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3
Artificial Grammar Learning in children, adults, animals and machines
In: ISSN: 1756-8757 ; EISSN: 1756-8765 ; Topics in cognitive science ; https://hal.archives-ouvertes.fr/hal-02877137 ; Topics in cognitive science, Wiley, 2020 (2020)
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4
DoLFIn: Distributions over Latent Features for Interpretability ...
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5
Mode classification and natural units in plainchant ...
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6
Mode classification and natural units in plainchant ...
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7
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains ...
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8
Formal models of structure building in music, language, and animal song
In: The origins of musicality (Cambridge, 2018), p. 253-286
MPI für Psycholinguistik
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9
Five fundamental constraints on theories of the origins of music
In: The origins of musicality (Cambridge, 2018), p. 49-80
MPI für Psycholinguistik
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10
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information ...
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11
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity ...
Abstract: We evaluate 8 different word embedding models on their usefulness for predicting the neural activation patterns associated with concrete nouns. The models we consider include an experiential model, based on crowd-sourced association data, several popular neural and distributional models, and a model that reflects the syntactic context of words (based on dependency parses). Our goal is to assess the cognitive plausibility of these various embedding models, and understand how we can further improve our methods for interpreting brain imaging data. We show that neural word embedding models exhibit superior performance on the tasks we consider, beating experiential word representation model. The syntactically informed model gives the overall best performance when predicting brain activation patterns from word embeddings; whereas the GloVe distributional method gives the overall best performance when predicting in the reverse direction (words vectors from brain images). Interestingly, however, the error patterns ... : accepted at Cognitive Modeling and Computational Linguistics 2018 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1711.09285
https://dx.doi.org/10.48550/arxiv.1711.09285
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12
Analyzing the Structure of Bird Vocalizations and Language: Finding Common Ground
In: Birdsong, speech, and language : exploring the evolution of mind and brain (2016), S. 243-260
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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13
Analyzing the structure of bird vocalizations and language : finding common ground
In: Birdsong, speech and language (Cambridge, 2013), p. 243-260
MPI für Psycholinguistik
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14
Modeling in the language sciences
In: Research methods in linguistics (Cambridge, 2013), p. 422-439
MPI für Psycholinguistik
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15
Analyzing the structure of bird vocalizations and language : finding common ground
In: Birdsong, speech and language (Cambridge, 2013), p. 243-260
MPI für Psycholinguistik
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16
Three design principles of language: the search for parsimony in redundancy
In: Language and speech. - London [u.a.] : Sage Publ. 56 (2013) 3, 265-290
BLLDB
OLC Linguistik
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17
What are the unique design features of language? Formal tools for comparative claims
In: Adaptive behavior. - Thousand Oaks, Calif. : Sage 18 (2010) 1, 48-65
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18
The evolution of combinatorial phonology
In: Journal of phonetics. - Amsterdam : Elsevier 37 (2009) 2, 125-144
BLLDB
OLC Linguistik
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19
Children's grammars grow more abstract with age - evidence from an automatic procedure for identifying the productive units of language
In: Topics in cognitive science. - Hoboken, NJ [u.a.] : Wiley 1 (2009) 1, 175-188
BLLDB
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20
Children's Grammars Grow More Abstract with Age — Evidence from an Automatic Procedure for Identifying the Productive Units of Language
In: Topics in cognitive science. - Hoboken, NJ [u.a.] : Wiley 1 (2009) 1, 175-188
OLC Linguistik
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