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1
Can distributional semantics explain performance on the false belief task? ...
Trott, Sean. - : Open Science Framework, 2022
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2
The glyph project: The distinctiveness of written characters — online crowdsourcing for a typology of letter shapes ...
Morin, Olivier. - : Open Science Framework, 2022
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3
Causal and Semantic Relations in L2 Text Processing: An Eye-Tracking Study
Nahatame, Shingo. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022
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4
Masked language models directly encode linguistic uncertainty
In: Proceedings of the Society for Computation in Linguistics (2022)
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5
How Well Do LSTM Language Models Learn Filler-gap Dependencies?
In: Proceedings of the Society for Computation in Linguistics (2022)
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6
Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech
In: Proceedings of the Society for Computation in Linguistics (2022)
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7
Evaluating Structural Economy Claims in Relative Clause Attachment
In: Proceedings of the Society for Computation in Linguistics (2022)
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8
Functional pressures and linguistic typology
Meinhardt, Eric. - : eScholarship, University of California, 2021
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9
Data for: Effects of phonological neighbourhood density and frequency in picture naming. ...
Hameau, Solene. - : Mendeley, 2021
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10
Data for: Effects of phonological neighbourhood density and frequency in picture naming. ...
Hameau, Solene. - : Mendeley, 2021
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11
Exploring the Neural Correlates of Language Processing in the Psychedelic State ...
beykoylu, huseyin. - : Open Science Framework, 2021
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12
The interplay between linguistic and embodied systems in conceptual processing ...
Bernabeu, Pablo. - : Open Science Framework, 2021
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13
Linguistic Synesthesia in Turkish ...
Kumcu, Alper. - : Open Science Framework, 2021
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14
Taboo: Analysis of referring expressions in an interactive communication game ...
Trott, Sean. - : Open Science Framework, 2021
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15
Proceedings of ULAB 2021 ...
Wiernik, Lydia. - : Zenodo, 2021
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16
Proceedings of ULAB 2021 ...
Wiernik, Lydia. - : Zenodo, 2021
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17
Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data ...
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18
Vertical directionality ratings as lexical norms for English verbs ...
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19
A Layered Bridge from Sound to Meaning: Investigating Cross-linguistic Phonosemantic Correspondences ...
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20
A Layered Bridge from Sound to Meaning: Investigating Cross-linguistic Phonosemantic Correspondences ...
Abstract: The present paper addresses the study of cross-linguistic phonosemantic correspondences within a deep learning framework. An LSTM-based Recurrent Neural Network is trained to associate the phonetic representation of a word, encoded as a sequence of feature vectors, to its corresponding semantic representation in a multilingual and cross-family vector space. The processing network is then tested, without further training, in a language that does not appear in the training set and belongs to a different language family. The performance of the model is evaluated through a comparison with a monolingual and mono-family upper bound and a randomized baseline. After the assessment of the network's performance, the distribution of phonosemantic properties in the lexicon is inspected in relation to different (psycho)linguistic variables, showing a link between lexical non-arbitrariness and semantic, syntactic, pragmatic, and developmental factors. ...
Keyword: Cognitive Linguistics; Cognitive Science; Computational Intelligence; Deep Learning; Epidemiology; Neural Network; Phonetics; Phonology; Psycholinguistics; Semiotics
URL: https://dx.doi.org/10.48448/nmx9-4170
https://underline.io/lecture/26858-a-layered-bridge-from-sound-to-meaning-investigating-cross-linguistic-phonosemantic-correspondences
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