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首页> 外文会议>9th International conference on language resources and evaluation >Corpus and Evaluation of Handwriting Recognition of Historical Genealogical Records
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Corpus and Evaluation of Handwriting Recognition of Historical Genealogical Records

机译：历史家谱记录的笔迹识别与语料库评估

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Over the last few decades, significant strides have been made in handwriting recognition (HR), which is the automatic transcription of handwritten documents. HR often focuses on modern handwritten material, but in the electronic age, the volume of handwritten material is rapidly declining. However, we believe HR is on the verge of having major application to historical record collections. In recent years, archives and genealogical organizations have conducted huge campaigns to transcribe valuable historical record content with such transcription being largely done through human-intensive labor. HR has the potential of revolutionizing these transcription endeavors. To test the hypothesis that this technology is close to applicability, and to provide a testbed for reducing any accuracy gaps, we have developed an evaluation paradigm for historical record handwriting recognition. We created a huge test corpus consisting of four historical data collections of four differing genres and three languages. In this paper, we provide the details of these extensive resources which we intend to release to the research community for further study. Since several research organizations have already participated in this evaluation, we also show initial results and comparisons to human levels of performance.
机译：在过去的几十年中，手写识别（HR）取得了长足的进步，这是手写文档的自动转录。人力资源部通常侧重于现代手写材料，但是在电子时代，手写材料的数量正在迅速下降。但是，我们认为，HR即将在历史记录收集中得到广泛应用。近年来，档案馆和家谱组织开展了大规模的活动，以抄录宝贵的历史记录内容，而这种抄写工作主要是通过人工劳动完成的。 HR具有革新这些转录工作的潜力。为了检验该技术接近适用性的假设，并提供一个减少任何准确性差距的测试平台，我们开发了一种用于历史记录笔迹识别的评估范例。我们创建了一个庞大的测试语料库，其中包括四种不同体裁和三种语言的四个历史数据集。在本文中，我们提供了这些广泛资源的详细信息，我们打算将这些资源发布给研究社区以进行进一步研究。由于一些研究组织已经参与了此评估，因此我们还显示了初步结果以及与人类绩效水平的比较。

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