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TAPoR (Text Analysis Portal for Research) is a gateway that highlights tools and code snippets usable for textual criticism of all types. The project is housed at the University of Alberta , and is currently led by Geoffrey Rockwell, Stéfan Sinclair, Kirsten C. Uszkalo, and Milena Radzikowska.
A useful step is to archive the sample content in order to prevent changes from being made. Online content is also non-linear. Printed text has clearly delineated boundaries that can be used to identify context units (e.g., a newspaper article). The bounds of online content to be used in a sample are less easily defined.
The simplest and most objective form of content analysis considers unambiguous characteristics of the text such as word frequencies, the page area taken by a newspaper column, or the duration of a radio or television program. Analysis of simple word frequencies is limited because the meaning of a word depends on surrounding text.
Wikipedia:Citation templates for templates used to format article references and citations; Wikipedia:Requested templates, to request creation of a template. Category:Wikipedia templates; Special:ExpandTemplates, expands all templates recursively; Use this form to search in the Template: or Template_talk: namespaces. See Help:Searching for more ...
A co-occurrence network created with KH Coder. Co-occurrence network, sometimes referred to as a semantic network, [1] is a method to analyze text that includes a graphic visualization of potential relationships between people, organizations, concepts, biological organisms like bacteria [2] or other entities represented within written material.
Historical criticism (also known as the historical-critical method (HCM) or higher criticism, [1] in contrast to lower criticism or textual criticism [2]) is a branch of criticism that investigates the origins of ancient texts to understand "the world behind the text" [3] and emphasizes a process that "delays any assessment of scripture's truth and relevance until after the act of ...
This page was last edited on 22 October 2024, at 13:07 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
To exploit a parallel text, some kind of text alignment identifying equivalent text segments (phrases or sentences) is a prerequisite for analysis. Machine translation algorithms for translating between two languages are often trained using parallel fragments comprising a first-language corpus and a second-language corpus, which is an element ...