Interactive language learning by robots: the transition from babbling to word forms.

The 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...

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Autores principales: Caroline Lyon, Chrystopher L Nehaniv, Joe Saunders
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Publicado: Public Library of Science (PLoS) 2012
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spelling oai:doaj.org-article:9421e1a4c6854d64a1352692d43627d72021-11-18T07:15:39ZInteractive language learning by robots: the transition from babbling to word forms.1932-620310.1371/journal.pone.0038236https://doaj.org/article/9421e1a4c6854d64a1352692d43627d72012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22719871/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The 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.Caroline LyonChrystopher L NehanivJoe SaundersPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e38236 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Caroline Lyon
Chrystopher L Nehaniv
Joe Saunders
Interactive language learning by robots: the transition from babbling to word forms.
description The 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.
format article
author Caroline Lyon
Chrystopher L Nehaniv
Joe Saunders
author_facet Caroline Lyon
Chrystopher L Nehaniv
Joe Saunders
author_sort Caroline Lyon
title Interactive language learning by robots: the transition from babbling to word forms.
title_short Interactive language learning by robots: the transition from babbling to word forms.
title_full Interactive language learning by robots: the transition from babbling to word forms.
title_fullStr Interactive language learning by robots: the transition from babbling to word forms.
title_full_unstemmed Interactive language learning by robots: the transition from babbling to word forms.
title_sort interactive language learning by robots: the transition from babbling to word forms.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/9421e1a4c6854d64a1352692d43627d7
work_keys_str_mv AT carolinelyon interactivelanguagelearningbyrobotsthetransitionfrombabblingtowordforms
AT chrystopherlnehaniv interactivelanguagelearningbyrobotsthetransitionfrombabblingtowordforms
AT joesaunders interactivelanguagelearningbyrobotsthetransitionfrombabblingtowordforms
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