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Creating a Handwriting Recognition Corpus for Bushman Languages

机译:创建布什曼语言的手写识别语料库

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摘要

Handwriting recognition systems rely on the existence of a corpus for training recognition models and evaluating accuracy. Creating a handwriting recognition corpus for the Bushman languages of southern Africa is difficult due to the complexities of the script used to represent them and the fact that this script cannot be represented using Unicode. To solve this problem, a semi-automatic Web-based tool was developed to segment, capture and encode the Bushman text. A case study demonstrated how the tool could be used to create a Bushman handwriting corpus with few errors.
机译:手写识别系统依赖于语料库的存在来训练识别模型和评估准确性。由于用于表示南部非洲人的脚本的复杂性以及该脚本无法使用Unicode表示的事实,因此很难为南部非洲的布什曼语言创建手写识别语料库。为了解决此问题,开发了一种基于Web的半自动工具来分割,捕获和编码Bushman文本。案例研究表明,该工具可用于创建几乎没有错误的Bushman手写语料库。

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