David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Cognitive Science 35 (1):119-155 (2011)
This paper reconsiders the diphone-based word segmentation model of Cairns, Shillcock, Chater, and Levy (1997) and Hockema (2006), previously thought to be unlearnable. A statistically principled learning model is developed using Bayes’ theorem and reasonable assumptions about infants’ implicit knowledge. The ability to recover phrase-medial word boundaries is tested using phonetic corpora derived from spontaneous interactions with children and adults. The (unsupervised and semi-supervised) learning models are shown to exhibit several crucial properties. First, only a small amount of language exposure is required to achieve the model’s ceiling performance, equivalent to between 1 day and 1 month of caregiver input. Second, the models are robust to variation, both in the free parameter and the input representation. Finally, both the learning and baseline models exhibit undersegmentation, argued to have significant ramifications for speech processing as a whole
|Keywords||Word segmentation Language acquisition Computational model Bayesian Unsupervised learning|
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References found in this work BETA
Jeffrey L. Elman (1990). Finding Structure in Time. Cognitive Science 14 (2):179-211.
Sharon Goldwater, Thomas L. Griffiths & Mark Johnson (2009). A Bayesian Framework for Word Segmentation: Exploring the Effects of Context. Cognition 112 (1):21-54.
Toben H. Mintz (2003). Frequent Frames as a Cue for Grammatical Categories in Child Directed Speech. Cognition 90 (1):91-117.
Michael R. Brent & Timothy A. Cartwright (1996). Distributional Regularity and Phonotactic Constraints Are Useful for Segmentation. Cognition 61 (1-2):93-125.
Michael R. Brent & Jeffrey Mark Siskind (2001). The Role of Exposure to Isolated Words in Early Vocabulary Development. Cognition 81 (2):B33-B44.
Citations of this work BETA
Andrew Martin, Sharon Peperkamp & Emmanuel Dupoux (2013). Learning Phonemes With a Proto-Lexicon. Cognitive Science 37 (1):103-124.
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