State: A Multimodal Assisted Text-Transcription System for Ancient Documents
Nara（2008）
Abstract
We present a complete assisted transcription system for ancient documents: STATE. The system consists of two applications: a pen-based, interactive application to assist humans in transcribing ancient documents and a recognition engine which offers automatic transcriptions via a web service. The interaction model and the recognition algorithm employed in the current version of STATE are presented. Some preliminary experiments show the productivity gains obtained with the system when transcribing a document and the error rate of the current recognition engine.
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Key words
recognition engine,recognition algorithm,transcription system,ancient document,multimodal assisted text-transcription system,ancient documents,error rate,interactive application,current version,current recognition engine,automatic transcription,interaction model,web services,web service,layout,text analysis,engines,noise,image segmentation
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