Phonetic based sentence level rewriting of questions typed by dyslexic spellers in an information retrieval context
Résumé
This paper introduces a method combining spell checking and phonetic interpretation in order to automatically rewrite questions typed by dyslexic spellers. The method uses a finite state automata framework. Dysorthographics refers to incorrect word segmentation which usually causes classical spelling correc-tors fail. The specificities of the information retrieval context are that flexion errors have no impact since the sentences are lemmatised and filtered and that several hypothesis can be processed for one query. Our system is evaluated on questions collected with the help of an orthophonist. The word error rate on lemmatised sentences falls from 60% to 22% (falls to 0% on 43% of sentences).