12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Modelling Novelty Preference in Word Learning

Maarten Versteegh (1), Louis ten Bosch (2), Lou Boves (2)

(1) IMPRS for Language Sciences, The Netherlands
(2) Radboud Universiteit Nijmegen, The Netherlands

This paper investigates the effects of novel words on a cognitively plausible computational model of word learning. The model is first familiarized with a set of words, achieving high recognition scores and subsequently offered novel words for training. We show that the model is able to recognize the novel words as different from the previously seen words, based on a measure of novelty that we introduce. We then propose a procedure analogous to novelty preference in infants. Results from simulations of word learning show that adding this procedure to our model speeds up training and helps the model attain higher recognition rates.

Full Paper

Bibliographic reference.  Versteegh, Maarten / Bosch, Louis ten / Boves, Lou (2011): "Modelling novelty preference in word learning", In INTERSPEECH-2011, 761-764.