A Character Recognizer for Turkish Language

This paper presents particularly a contextual post processing subsystem for a Turkish machine printed character recognition system. The contextual post processing subsystem is based on positional binary 3gram statistics for Turkish language, an error corrector parser and a lexicon, which contains root words and the inflected forms of the root words. Error corrector parser is used for correcting CR alternatives using Turkish Morphology.

• Type: Conference
• Year: 2003
• Where: ICDAR
• Authors: Sait Ulas Korkmaz, G. Kirçiçegi, Y. Akinci, Volkan Atalay
• Keywords: Contextual Post Processing, Document Analysis, Error Corrector Parser, ICDAR 2003, Post Processing Subsystem