@misc{cogprints6177,
          editor = {Alex Clark and Kristina Toutanova},
           title = {A MDL-based Model of Gender Knowledge Acquisition},
          author = {Harmony Marchal and Benoit Lemaire and Maryse Bianco and Philippe Dessus},
       publisher = {Association for Computational Linguistics},
            year = {2008},
        keywords = {gender assignment,computational model,minimum description length},
             url = {http://cogprints.org/6177/},
        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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