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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 ...
Abstract: Many musics across the world are structured around multiple modes, which hold a middle ground between scales and melodies. We study whether we can classify mode in a corpus of 20,865 medieval plainchant melodies from the Cantus database. We revisit the traditional 'textbook' classification approach (using the final, the range and initial note) as well as the only prior computational study we are aware of, which uses pitch profiles. Both approaches work well, but largely reduce modes to scales and ignore their melodic character. Our main contribution is a model that reaches 93–95% F1 score on mode classification, compared to 86–90% using traditional pitch-based musicological methods. Importantly, it reaches 81–83% even when we discard all absolute pitch information and reduce a melody to its contour. The model uses tf–idf vectors and strongly depends on the choice of units: i.e., how the melody is segmented. If we borrow the syllable or word structure from the lyrics, the model outperforms all of our ...
URL: https://dx.doi.org/10.5281/zenodo.4245572
https://zenodo.org/record/4245572
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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 ...
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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
BLLDB
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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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