Programme booklet (pdf)

78
CLIN 21 – CONFERENCE PROGRAMME
A database for lexical orthographic errors in French
Abstract
Manguin, Jean-Luc
GREYC - Univ.de Caen - France
This work describes the construction of a database for lexical orthographic errors in
French. This construction uses different techniques form the field of NLP for a goal in
the field of psycholinguisitics. In psycholinguisitics, it is often difficult and long to
collect enough data from experiments with real people. Here the data are collected online
and come from the requests made to an on-line dictionary. In this huge amount of
data (about 160 millions words, 4 millions distinctive forms), we can find enough errors
to have good statistics for a deep study of errors. The questions developped here are
the link between a "bad" form and its correction, and the classification of errors in a
small number of types. Several programs and techniques are involved to achieve these
tasks : detection of graphic neighbours, phonetization, pattern matching : the
combination of these techniques leads us to 70% of correction with no ambiguity, and
80% if we accept the system give several possible corrections. The classification of
errors is also useful for predicting where errors may appear in the words, and thus for
the knowledge of children's learning of orthography.
Corresponding author: jean-luc.manguin@unicaen.fr