文本识别流的自动校对成为了亟需解决的问题。
So the automatic proofreading has being an urgent problem to solve.
介绍了为自动校对系统检测出的错误字串提供有效纠错建议的算法。
This paper introduces an algorithm to offer the effective correct candidates for the detected error strings by automatic proofreading system.
校对比对模型是最基本的一种校对模型，比较适合利用计算机进行自动校对。
Matching model is the basic proofreading model and it is suitable to apply in computer automatic proofreading system.
本文研究了视频字幕的OCR识别结果的自动校对技术，分析了视频字幕识别结果的特点。
In this thesis, we studied the automatic correction technology of OCR results of video captions, and analyzed the properties of them.
其他的比如机器翻译（MT）、语音合成、自动分类、自动摘要、自动校对等等，都需要用到分词。
Others such as machine translation ( MT ), speech synthesis, automatic classification, automatic summarization, automatic proofreading etc. , require the use of word segmentation.
本文简要介绍了中文自动校对的主要原理和基本算法，讨论了校对软件系统现有工作方式及校对流程。
This paper gives an overview of the main idea and algorithms of Chinese text proofreading, the system structure and applications are discussed too.
而OCR识别导致的主要错误就是形近或者形似错误，因此，如何对该类错误进行文本自动校对是一个必须解决的问题。
Since the main errors made by an OCR system are shape-similar errors, we should find a way to proofread these errors in the recognized documents.
该方法通过对机器分词语料和人工校对语料的学习，自动获取中文文本的分词校对规则，并应用规则对机器分词结果进行自动校对。
It discusses and analyzes the actuality of Chinese word segmentation, and describes an approach to correcting the Chinese word segmentation automatically based on rules.
这套翻译系统包含有从校对中学习的功能，因此随着时间推移，自动化翻译的品质将会逐渐改善。
The translation system is designed to learn from corrections, so the quality of automated translations is expected to improve over time.
本发 明能自动交替捕捉相应目标视频，无需测量或校对摄像头位置，对环境有很好的适应性；
The method can alternatively capture corresponding target videos automatically, needs not to measure or collate the position of the camera, and has excellent adaptability to the environment;
测量方法简便，不需校对零点，有利于自动化，提高了测量精度。
Said method is simple, no need for correcting zero point, easy automatization and improves measuring precision.
测量方法简便，不需校对零点，有利于自动化，提高了测量精度。
Said method is simple, no need for correcting zero point, easy automatization and improves measuring precision.
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