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dc.contributor.authorLyon, Caroline
dc.contributor.authorNehaniv, C.L.
dc.contributor.authorSaunders, Joe
dc.date.accessioned2012-08-02T15:00:45Z
dc.date.available2012-08-02T15:00:45Z
dc.date.issued2012-06-13
dc.identifier.citationLyon , C , Nehaniv , C L & Saunders , J 2012 , ' Interactive language learning by robots : The transition from babbling to word forms ' , PLoS ONE , vol. 7 , no. 6 , e38236 . https://doi.org/10.1371/journal.pone.0038236
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/2299/8775
dc.descriptionThis work is supported by the European Commission under project grant FP7-214668 for ITALK: Integration and Transfer of Action and Language Knowledge in Robots. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.description.abstractThe advent of humanoid robots has enabled a new approach to investigating the acquisition of language, and we report on the development of robots able to acquire rudimentary linguistic skills. Our work focuses on early stages analogous to some characteristics of a human child of about 6 to 14 months, the transition from babbling to first word forms. We investigate one mechanism among many that may contribute to this process, a key factor being the sensitivity of learners to the statistical distribution of linguistic elements. As well as being necessary for learning word meanings, the acquisition of anchor word forms facilitates the segmentation of an acoustic stream through other mechanisms. In our experiments some salient one-syllable word forms are learnt by a humanoid robot in real-time interactions with naive participants. Words emerge from random syllabic babble through a learning process based on a dialogue between the robot and the human participant, whose speech is perceived by the robot as a stream of phonemes. Numerous ways of representing the speech as syllabic segments are possible. Furthermore, the pronunciation of many words in spontaneous speech is variable. However, in line with research elsewhere, we observe that salient content words are more likely than function words to have consistent canonical representations; thus their relative frequency increases, as does their influence on the learner. Variable pronunciation may contribute to early word form acquisition. The importance of contingent interaction in real-time between teacher and learner is reflected by a reinforcement process, with variable success. The examination of individual cases may be more informative than group results. Nevertheless, word forms are usually produced by the robot after a few minutes of dialogue, employing a simple, real-time, frequency dependent mechanism. This work shows the potential of human-robot interaction systems in studies of the dynamics of early language acquisition.en
dc.format.extent16
dc.format.extent407649
dc.language.isoeng
dc.relation.ispartofPLoS ONE
dc.subjectITALK
dc.titleInteractive language learning by robots : The transition from babbling to word formsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1371/journal.pone.0038236
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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