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Hvordan lærer menneskebørn og humanoide robotter sprog? Nye Forskningshorisonter i studiet af sprogtilegnelse og kognitiv udvikling

  • We taught a humanoid robot a number of different actions involving a number of different objects (e.g., touching a green object, moving a red object etc.) alongside a number of simplified linguistic labels for these behaviours (e.g., ‘touch-green’, ‘move-red’ etc.). The robot managed to learn the associations between the behaviours and their linguistic labels, and it succeeded in recognising the compositional structure of the behaviours and their associated linguistic descriptions (ACTION/VERB+OBJECT/NOUN). Moreover, it was able to generalise the learned instructions to novel, previously untrained action+object-combinations (e.g., touch-red). This corresponds to the task of learning and decomposing so-called ‘holophrases’ in early child language acquisition.

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Metadaten
Author:Arne Zeschel
URN:urn:nbn:de:bsz:mh39-65095
ISSN:2245-0378
Parent Title (Danish):Forskning for enhver. Årbog – Videnskabelige artikler fra Campus Sønderborg
Publisher:Syddansk Universitet
Place of publication:Sønderborg
Editor:Hans Martens, Thomas J. Ottersen
Document Type:Part of a Book
Language:Danish
Year of first Publication:2012
Date of Publication (online):2017/10/05
Creating Corporation:Institut for Grænseregionsforskning, Mads Clausen Instituttet, Institut for Fagsprog, Kommunikation og Informationsvidenskab
GND Keyword:Kindersprache; Künstliche Intelligenz; Lernprozess; Sprachentwicklung
First Page:90
Last Page:97
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
BDSL-Classification:Grammatik
Linguistics-Classification:Psycholinguistik / Kognitive Linguistik
Linguistics-Classification:Spracherwerb
Licence (German):License LogoUrheberrechtlich geschützt