数字人文学科的搜索和挖掘系统剖析

Martyn Harris, M. Levene, Dell Zhang, D. Levene
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引用次数: 4

摘要

Samtla(带有语言分析的搜索和挖掘工具)是一个在线综合研究环境,与历史学家和语言学家合作设计,以促进以任何语言编写的数字化文本的研究。它目前支持两个语库的研究:剑桥大学Taylor-Schechter Genizah研究单位的Genizah收藏,以及古代晚期阿拉姆语咒语文本的收藏。与依赖于文本的词袋表示的标准搜索引擎和文本挖掘系统相比,Samtla提供了模糊文本模式/主题(历史学家称之为“公式”)的检索和发现,这是通过应用基于字符的n-gram统计语言模型实现的,该模型建立在强大的泛化后缀树数据结构之上。本文简要介绍了Samtla的主要组件及其底层技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The anatomy of a search and mining system for digital humanities
Samtla (Search And Mining Tools with Linguistic Analysis) is an online integrated research environment designed in collaboration with historians and linguists to facilitate the study of digitised texts written in any language. It currently supports the research of two corpora: the Genizah collection held by the Taylor-Schechter Genizah Research Unit in Cambridge University, and a collection of Aramaic incantation texts from late antiquity. In contrast to standard search engines and text mining systems that rely on the bag-of-words representation of text, Samtla provides the retrieval and discovery of fuzzy text patterns/motifs (aka “formulae” to historians), which is achieved through applying a character-based n-gram statistical language model built on top of a powerful generalised suffix tree data structure. This paper brie y describes the major components of Samtla and their underlying techniques.
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