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A MDL-based Model of Gender Knowledge Acquisition

Marchal, Harmony and Lemaire, Benoit and Bianco, Maryse and Dessus, Philippe (2008) A MDL-based Model of Gender Knowledge Acquisition. [Conference Paper]

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Abstract

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.

Item Type:Conference Paper
Keywords:gender assignment,computational model,minimum description length
Subjects:Psychology > Applied Cognitive Psychology
Linguistics > Computational Linguistics
ID Code:6177
Deposited By: Lemaire, Benoit
Deposited On:30 Aug 2008 23:21
Last Modified:11 Mar 2011 08:57

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