State: A Multimodal Assisted Text-Transcription System for Ancient Documents

Albert Gordo, D. Llorens, A. Marzal, F. Prat, J. M. Vilar
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引用次数: 11

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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状态:古代文献的多模式辅助文本转录系统
我们提出了一个完整的古代文献辅助转录系统:State。该系统由两个应用程序组成:一个基于笔的交互式应用程序,帮助人们转录古代文献;一个识别引擎,通过网络服务提供自动转录。介绍了当前版本State所采用的交互模型和识别算法。一些初步的实验表明,该系统在转录文档时获得了生产力的提高,并且当前识别引擎的错误率也有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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