Paper: Use Of Lexical And Syntactic Techniques In Recognizing Handwritten Text

ACL ID H94-1085
Title Use Of Lexical And Syntactic Techniques In Recognizing Handwritten Text
Venue Human Language Technologies
Session Main Conference
Year 1994
Authors

The output of handwritten word recognizers (Wit) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the WR must be ini- tially considered. In the case of handwritten sentence/phrase recognition, linguistic constraints may be applied in order to improve the results of the Wit. This paper discusses two statistical methods of applying linguistic constraints to the output of an Wit on input consisting of sentences/phrases. The first is based on collocations and can be used to prOmote lower ranked word choices or to propose new words. The second is a Markov model of syntax and is based on syn- tactic categories (tags) associated with words. In each case, we show the improvement in the word recognition rate as a result of applying these c...