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A Layered Bridge from Sound to Meaning: Investigating Cross-linguistic Phonosemantic Correspondences
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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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.
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Keyword:
cognitive science
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URL: https://escholarship.org/uc/item/30n278w5
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A Layered Bridge from Sound to Meaning: Investigating Cross-linguistic Phonosemantic Correspondences ...
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A Layered Bridge from Sound to Meaning: Investigating Cross-linguistic Phonosemantic Correspondences ...
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Echoes of Persuasion: The Effect of Euphony in Persuasive Communication ...
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Enriching the "Senso Comune" Platform with Automatically Acquired Data
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In: Proceedings of The International Conference of Language Resources and Evaluation Conference ; Language Resources and Evaluation Conference - LREC 2014 ; https://hal.archives-ouvertes.fr/hal-01138072 ; Language Resources and Evaluation Conference - LREC 2014, May 2014, Reykjavik, Iceland. pp. 2130-2137 (2014)
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Aligning an Italian WordNet with a lexicographic dictionary: Coping with limited data
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In: Proceedings of The Seventh Global WordNet Conference ; Global WordNet Conference - GWC 2014 ; https://hal.archives-ouvertes.fr/hal-01140354 ; Global WordNet Conference - GWC 2014, Jan 2014, Tartu, Estonia. pp. 290-298 (2014)
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Annotating and Identifying Emotions in Text
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In: Intelligent Information Access, 2010. Berlin: Springer-Verlag, v. 301/2010, pp. 21-38. (2010)
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The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
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In: Forty-Seventh Annual Meeting of the Association for Computational Linguistics (ACL), 2009, Singapore (2009)
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Corpus-based and Knowledge-based Measures of Text Semantic Similarity
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In: American Association for Artificial Intelligence (AAAI) Conference, 2006, Boston, Massachusetts, United States (2006)
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Learning to Laugh (Automatically): Computational Models for Humor Recognition
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In: Journal of Computational Intelligence, 2006. p. 126-142. (2006)
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Technologies That Make You Smile: Adding Humor to Text-Based Applications
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In: IEEE Intelligent Systems, 2006. Washington D.C.: Institute of Electrical and Electronics Engineers (IEEE) Computer Society, pp. 34-41 (2006)
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