Transcribing Latin Manuscripts in Respect to Linguistics

Manqing Feng, Guoxin Huang, Chuyuan Zhang, Yang Liu, Yajun Fang, B. Horn
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Abstract

Current text detection software, although can transcribe modern languages with high accuracy, has flaws detecting texts and transcribing original Latin manuscripts sufficiently. This paper proposes a general approach for transcribing Latin manuscripts in respect to linguistics and develops a system to transcribe Latin manuscripts containing intricate abbreviations, which combines basic object detection algorithms with linguistics. We used methods from image processing and made changes based on the characteristics of Latin.
从语言学角度抄写拉丁文手稿
目前的文本检测软件虽然能够以较高的准确率转录现代语言,但在检测文本和转录拉丁原始手稿方面存在缺陷。本文从语言学的角度提出了一种拉丁文手稿转录的一般方法,并将基本目标检测算法与语言学相结合,开发了一个包含复杂缩写的拉丁文手稿转录系统。我们使用了图像处理的方法,并根据拉丁语的特点进行了修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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