creators_name: Marchal, Harmony
creators_name: Lemaire, Benoit
creators_name: Bianco, Maryse
creators_name: Dessus, Philippe
editors_name: Clark, Alex
editors_name: Toutanova, Kristina
type: confpaper
datestamp: 2008-08-30 23:21:12
lastmod: 2011-03-11 08:57:11
metadata_visibility: show
title: A MDL-based Model of Gender Knowledge Acquisition
ispublished: pub
subjects: appl-cog-psy
subjects: ling-comput
full_text_status: public
keywords: gender assignment,computational model,minimum description length
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.
date: 2008
date_type: published
publisher: Association for Computational Linguistics
refereed: TRUE
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citation:   Marchal, Harmony and Lemaire, Benoit and Bianco, Maryse and Dessus, Philippe  (2008) A MDL-based Model of Gender Knowledge Acquisition.  [Conference Paper]     
document_url: http://cogprints.org/6177/1/coNLL08.pdf