A computational pipeline for crowdsourced transcriptions of Ancient Greek papyrus fragments

A computational pipeline for crowdsourced transcriptions of Ancient Greek papyrus fragments
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古希腊纸莎草碎片众包转录的计算管道

DOI:
10.1109/bigdata.2014.7004460
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发表时间:
2014
期刊:
2014 IEEE International Conference on Big Data (Big Data)
影响因子:
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通讯作者:
James H. Brusuelas
James H. Brusuelas
中科院分区:
--
文献类型:
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作者:
Alex C. Williams;John F. Wallin;Haoyu Yu;M. Perale;Hyrum D. Carroll;A. Lamblin;L. Fortson;D. Obbink;C. Lintott;James H. Brusuelas

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世纪末,牛津大学的两名挖掘者在奥克西林库斯城发现了大量自然退化的纸莎草纸,数量超过50万块。随着不同程度和形式的恶化,鉴定纸莎草纸碎片可能成为一个重复的,漫长的,疲惫的过程,为专业的纸莎草学家。牛津大学的“古代生活”项目旨在通过公民科学(或众包)加速身份识别过程。在Ancient Lives界面中,志愿者用户通过点击图像中的位置来指定字母的存在来识别字母。到目前为止,来自世界各地的用户的700多万个字母标识已被记录在Ancient Lives数据库中。在本文中,我们提出了一个计算管道,用于将通过Ancient Lives接口进行的众包信件识别转换为纸莎草纸碎片的数字共识传输。最后,我们解释了管道输出的有用性,在额外的计算项目的背景下,旨在进一步加快识别过程。
In the late nineteenth century, two excavators from the University of Oxford uncovered a vast trove of naturally deteriorated papyri, numbering over 500,000 fragments, from the city of Oxyrhynchus. With varying levels and forms of deterioration, the identification of a papyrus fragment can become a repetitive, long, and exhausting process for a professional papyrologist. The University of Oxford's Ancient Lives project aims to accelerate the identification process through citizen science (or crowdsourcing). In the Ancient Lives interface, volunteer users identify letters by clicking on a location in the image to designate the presence of a letter. To date, over 7 million letter identifications from users across the world have been recorded in the Ancient Lives database. In this paper, we present a computational pipeline for converting crowdsourced letter identifications made through the Ancient Lives interface into digital consensus transcriptions of papyrus fragments. We conclude by explaining the usefulness of the pipeline output in the context of additional computational projects that aim to further accelerate the identification process.