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The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning
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Interaction and Experience in Enactive Intelligence and Humanoid Robotics
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Interactive language learning by robots : The transition from babbling to word forms
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Abstract:
This 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. ; 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. ; Peer reviewed ; Final Published version
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Keyword:
ITALK
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URL: http://hdl.handle.net/2299/8775
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Robot Acquisition of Lexical Meaning : Moving Towards the Two-word Stage
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From babbling towards first words : The emergence of speech in a robot in real-time interaction
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Integration of Action and Language Knowledge: A Roadmap for Developmental Robotics
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Preparing to talk : Interaction between a linguistically enabled agent and a human teacher
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A Constructivist Approach to Robot Language Learning via Simulated Babbling and Holophrase Extraction
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Entropy Indicators for Investigating Early Language Processes
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Open Problems in the Emergence and Evolution of Linguistic Communication: A Road-Map for Research
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Nehaniv, C.L.. - : The Society for the Study of Artificial Intelligence and Simulation of Behaviour, 2005
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The Segmentation of Speech and its Implications for the Emergence of Language Structure
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