DocumentCode :
586562
Title :
A model of the headturn preference procedure: Linking cognitive processes to overt behaviour
Author :
Bergmann, C. ; Boves, L. ; ten Bosch, Louis
Author_Institution :
Centre for Language & Speech Technol., Radboud Univ., Nijmegen, Netherlands
fYear :
2012
fDate :
7-9 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
The study of first language acquisition still strongly relies on behavioural methods to measure underlying linguistic abilities. In the present paper, we closely examine and model one such method, the headturn preference procedure (HPP), which is widely used to measure infant speech segmentation and word recognition abilities Our model takes real speech as input, and only uses basic sensory processing and cognitive capabilities to simulate observable behaviour.We show that the familiarity effect found in many HPP experiments can be simulated without using the phonetic and phonological skills necessary for segmenting test sentences into words. The explicit modelling of the process that converts the result of the cognitive processing of the test sentences into observable behaviour uncovered two issues that can lead to null-results in HPP studies. Our simulations show that caution is needed in making inferences about underlying language skills from behaviour in HPP experiments. The simulations also generated questions that must be addressed in future HPP studies.
Keywords :
behavioural sciences; cognition; inference mechanisms; natural language processing; speech processing; word processing; HPP experiments; behavioural methods; cognitive processes; headturn preference procedure; infant speech segmentation; inference making; language acquisition; linguistic abilities; overt behaviour; phonetic skills; phonological skills; sensory processing; test sentence segmentation; word recognition abilities; Acoustics; Computational modeling; Magnetic heads; Speech; Speech processing; Speech recognition; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4964-2
Electronic_ISBN :
978-1-4673-4963-5
Type :
conf
DOI :
10.1109/DevLrn.2012.6400836
Filename :
6400836
Link To Document :
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