title: A MDL-based Model of Gender Knowledge Acquisition
creator: Marchal, Harmony
creator: Lemaire, Benoit
creator: Bianco, Maryse
creator: Dessus, Philippe
subject: Applied Cognitive Psychology
subject: Computational Linguistics
description: This paper presents an iterative model of  knowledge acquisition of gender information  associated with word endings in  French. Gender knowledge is represented  as a set of rules containing exceptions.  Our model takes noun-gender pairs as input  and constantly maintains a list of  rules and exceptions which is both coherent  with the input data and minimal with  respect to a minimum description length  criterion. This model was compared to  human data at various ages and showed a  good fit. We also compared the kind of  rules discovered by the model with rules  usually extracted by linguists and found  interesting discrepancies.
publisher: Association for Computational Linguistics
contributor: Clark, Alex
contributor: Toutanova, Kristina
date: 2008
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/6177/1/coNLL08.pdf
identifier:   Marchal, Harmony and Lemaire, Benoit and Bianco, Maryse and Dessus, Philippe  (2008) A MDL-based Model of Gender Knowledge Acquisition.  [Conference Paper]     
relation: http://cogprints.org/6177/