使用图像和语言组合模型的中世纪抄写员的大规模连续年代测定

Fredrik Wahlberg, Lasse Mårtensson, Anders Brun
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引用次数: 12

摘要

在历史研究中,找到一份前现代手稿的制作日期通常是一个漫长的过程,需要高度专业化的专家花费数天的时间。在本文中,我们提出了一种基于语言和图像数据建模的自动测年方法。通过创建一个记录笔触变化和抄写文本中的短字符序列的统计模型,多个估计器的组合给出了每个手稿在时间线上的分布。我们对中世纪宪章收集“Svenskt Diplomatariums huvudkartotek”(SDHK)进行了评估,其中包括1135年至1509年期间的5300多份抄写的宪章。我们的系统能够实现12年的绝对误差中值,其中唯一的人工输入是宪章文本的抄本。由于阅读和抄写文本是许多研究人员和学生所拥有的技能,与基于古地学专业知识确定中世纪手稿年代的更专业技能相比,我们发现我们的新方法适合帮助个人研究人员确定手稿页面的年代。对于较大的集合,也可以使用众包来收集转录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large Scale Continuous Dating of Medieval Scribes Using a Combined Image and Language Model
Finding the production date of a pre-modern manuscript is commonly a long process in historical research, requiring days of work from highly specialised experts. In this paper, we present an automatic dating method based on modelling both the language and the image data. By creating a statistical model over the changes in the pen strokes and short character sequences in the transcribed text, a combination of multiple estimators give a distribution over the time line for each manuscript. We have evaluated our estimation scheme on the medieval charter collection "Svenskt Diplomatariums huvudkartotek" (SDHK), including more than 5300 transcribed charters from the period 1135 - 1509. Our system is capable of achieving a median absolute error of 12 years, where the only human input is a transcription of the charter text. Since reading and transcribing the text is a skill that many researchers and students have, compared to the more specialized skill of dating medieval manuscripts based on palaeographical expertise, we find our novel approach suitable for helping individual researchers to date collections of manuscript pages. For larger collections, transcriptions could also be collected using crowd sourcing.
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