Graphical object recognition using statistical language models

Abstract

This paper describes a proposed system for the recognition and labeling of graphical objects within architectural and engineering documents that integrates statistical language models (SLMs) with traditional classifiers. SLMs are techniques used with success in natural language processing (NLP) for use in such tasks as speech recognition and information… (More)
DOI: 10.1109/ICDAR.2005.120

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