Literaturnachweis - Detailanzeige
| Autor/inn/en | de Varda, Andrea Gregor; Strapparava, Carlo |
|---|---|
| Titel | A Cross-Modal and Cross-Lingual Study of Iconicity in Language: Insights from Deep Learning |
| Quelle | In: Cognitive Science, 46 (2022) 6, (26 Seiten)
PDF als Volltext |
| Zusatzinformation | ORCID (de Varda, Andrea Gregor) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1551-6709 |
| DOI | 10.1111/cogs.13147 |
| Schlagwörter | Learning Processes; Phonology; Language Patterns; Language Classification; Language Processing; Brain Hemisphere Functions; Phonetics; Comparative Analysis; Semantics; Sensory Integration; Correlation; Contrastive Linguistics; Transfer of Training; Cues; Language Variation; Syntax; Language Research |
| Abstract | The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set of languages to associate the phonetic vectorization of a set of words to their sensory (Experiment 1), semantic (Experiment 2), and word-class representations (Experiment 3). The models are then tested, without further training, in a set of novel instances in a language belonging to a different language family, and their performance is compared with a randomized baseline. We show that the three cross-domain mappings can be successfully transferred across languages and language families, suggesting that the phonological structure of the lexicon is pervaded with language-invariant cues about the words' meaning and their syntactic classes. (As Provided). |
| Anmerkungen | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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