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A MDL-based Model of Gender Knowledge Acquisition

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Document pages: 8 pages

Abstract: This paper presents an iterative model ofknowledge acquisition of gender informationassociated with word endings inFrench. Gender knowledge is representedas a set of rules containing exceptions.Our model takes noun-gender pairs as inputand constantly maintains a list ofrules and exceptions which is both coherentwith the input data and minimal withrespect to a minimum description lengthcriterion. This model was compared tohuman data at various ages and showed agood fit. We also compared the kind ofrules discovered by the model with rulesusually extracted by linguists and foundinteresting discrepancies.

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