A MDL-based Model of Gender Knowledge Acquisition

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.
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https://hal.archives-ouvertes.fr/hal-00311720
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Submitted on : Wednesday, August 20, 2008 - 2:45:30 PM
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Harmony Marchal, Benoît Lemaire, Maryse Bianco, Philippe Dessus. A MDL-based Model of Gender Knowledge Acquisition. 12th Conference on Natural Language Learning (CoNLL-2008), Aug 2008, Manchester, United Kingdom. pp.73-80. ⟨hal-00311720⟩

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