Paper: Recognition Assistance - Treating Errors In Texts Acquired From Various Recognition Processes

ACL ID C02-2014
Title Recognition Assistance - Treating Errors In Texts Acquired From Various Recognition Processes
Venue International Conference on Computational Linguistics
Session project notes
Year 2002
Authors

Texts acquired from recognition sources—conti- nuous speech/handwriting recognition and OCR—generally have three types of errors re- gardless of the characteristics of the source in particular. The output of the recognition process may be (1) poorly segmented or not segmented at all; (2) containing underspecified symbols (where the recognition process can only indicate that the symbol belongs to a specific group), e.g. shape codes; (3) containing incorrectly identified sym- bols. The project presented in this paper addresses these errors by developing of a unified linguistic framework called the MorphoLogic Recognition Assistant that provides feedback and corrections for various recognition processes. The framework uses customized morpho-syntactic and syntactic analysis where the lexic...