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Integrated High-Performance and Web-Oriented System of The Kazakh Language Text Recognition

机译:哈萨克语文本识别的集成高性能和面向Web导向系统

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We presented in the paper the integrated highperformance and Web-oriented computer recognition system for the Kazakh language text. The design and integration methodology of the system are based on service-oriented architecture that allows provide an easy, flexible, and extensible integration of any language service into any desktop or mobile client. We have designed and built 4-tier SOA on the basis of W3C Web service standard. Use the high-performance cluster shows significant advantages in the Kazakh text processing, especially for large arrays of texts. The main objective of the developing system is to provide any person easy access to text and documentation in Kazakh language with the following possibility of editing and manipulation different docs through respective Web services OCR and morphological analysis/correction. Developed web services cover the Kazakh language text OCR and morphological analysis for subsequent correction of errors after OCR, and show an acceptable quality of the Kazakh texts recognition which is better than existing tools of text recognition.
机译:我们介绍了哈萨克语文本的综合高性能和Web导向的计算机识别系统。系统的设计和集成方法基于面向服务的架构,允许提供任何语言服务的简单,灵活,可扩展集成到任何桌面或移动客户端。我们在W3C Web服务标准的基础上设计并建立了4层SOA。使用高性能集群在哈萨克文本处理中显示出显着的优势,尤其是对于大型文本阵列。发展系统的主要目标是提供任何人通过各自的Web服务OCR和形态分析/校正来提供哈萨克语中的文本和文档。开发的Web服务涵盖了哈萨克语文本OCR和形态学分析,随后纠正了OCR后的错误,并显示了哈萨克文本识别的可接受质量,这比现有的文本识别工具更好。

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