The syntactic prediction with token automata: application to HandiAS system
This paper presents a finite-state machine to compute the probability of a word appearance when one knows the left syntactic context. We memorize the token number of words in a dictionary and the token number of syntactic categories on finite-state automata. We compute a word probability with these numbers. If we have not predicted the awaited word, we take into account the first letter for a new prediction, and so on. This system has been implemented on a prototype software for disabled communication aid, called HandiAS and it is a part of the Research project CNHL of the L1, the Computer Laboratory of the Tours University. (C) 2001 Elsevier Science B.V. All rights reserved.
finite-state automata disabled aid nlp electronic dictionaries syntax