Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Multimodal language acquisition based on motor learning and interaction
Institute for System and Robotics (ISR), Instituto Superior Técnico, Lisbon, Portugal. (VISLAB)
Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik.ORCID-id: 0000-0003-3981-2551
Institute for System and Robotics (ISR), Instituto Superior Técnico, Lisbon, Portugal. (VISLAB)
Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik, Avdelningen för fonetik. (Language development)ORCID-id: 0000-0002-7980-3601
2010 (engelsk)Inngår i: From Motor Learning to Interaction Learning in Robots / [ed] Olivier Sigaud & jan Peters, Springer Berlin/Heidelberg, 2010, s. 467-489Kapittel i bok, del av antologi (Annet vitenskapelig)
Abstract [en]

In this work we propose a methodology for language acquisition in humanoid robots that mimics that in children. Language acquisition is a complex process that involves mastering several different tasks, such as producing speech sounds, learning how to group different sounds into a consistent and manageable number of classes or speech units, grounding speech, and recognizing the speech sounds when uttered by other persons. While it is not known to which extent those abilities are learned or written in our genetic code, this work aims at two intertwined goals: (i) to investigate how much of linguistic structure that can be derived directly from the speech signal directed to infants by (ii) designing, building and testing biological plausible models for language acquisition in a humanoid robot. We have therefore chosen to avoid implementing any pre-programmed linguistic knowledge, such as phonemes, into these models. Instead we rely on general methods such as pattern matching and hierarchical clustering techniques, and show that it is possible to acquire important linguistic structures directly from the speech signal through the interaction with a caregiver. We also show that this process can be facilitated through the use of motor learning.

sted, utgiver, år, opplag, sider
Springer Berlin/Heidelberg, 2010. s. 467-489
Serie
Studies in Computational Intelligence, ISSN 1860-949X ; 264
HSV kategori
Identifikatorer
URN: urn:nbn:se:su:diva-32985DOI: 10.1007/978-3-642-05181-4_20ISBN: 978-3-642-05180-7 (tryckt)OAI: oai:DiVA.org:su-32985DiVA, id: diva2:282107
Tilgjengelig fra: 2010-01-15 Laget: 2009-12-18 Sist oppdatert: 2018-01-12bibliografisk kontrollert

Open Access i DiVA

fulltekst(382 kB)525 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 382 kBChecksum SHA-512
e2aa65bdc3d887b8c3298280323a0480e180b6be82e695b451335783834311bdb7255d4fe7753ad133bb82fc8c1de881fc94365d2cd9a0b3ad41e68b3b2d8cda
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekst

Søk i DiVA

Av forfatter/redaktør
Gustavsson, LisaLacerda, Francisco
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 525 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 238 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf