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PDF is a standard for encoding documents in an "as printed" form that is portable between systems. However, the suitability of a PDF file for archival preservation depends on options chosen when the PDF is created: most notably, whether to embed the necessary fonts for rendering the document; whether to use encryption; and whether to preserve additional information from the original document ...
The Text Encoding Initiative: a further report in Corpus-based Computational Linguistics ed C. Souter and E. Atwell (Amsterdam, Rodopi, 1990) Burnard, Lou; Information Management in The Humanities Computing Yearbook 1989–90, ed I. Lancashire (OUP, 1991) What is SGML and how does it help? and An introduction to the Text Encoding Initiative ...
Text in PDF is represented by text elements in page content streams. A text element specifies that characters should be drawn at certain positions. The characters are specified using the encoding of a selected font resource. A font object in PDF is a description of a digital typeface.
The encoding of text files is affected by locale setting, which depends on the user's language and brand of operating system, among other conditions. Therefore, the assumed encoding is systematically wrong for files that come from a computer with a different setting, or even from a differently localized piece of
The plain text format doesn't support DRM or formatting options (such as different fonts, graphics or colors). It has excellent portability as it is the simplest e-book encoding possible; a plain text file contains only ASCII or Unicode text (text files with UTF-8 or UTF-16 encoding are also popular for languages other than English). Almost all ...
A binary-to-text encoding is encoding of data in plain text. More precisely, it is an encoding of binary data in a sequence of printable characters . These encodings are necessary for transmission of data when the communication channel does not allow binary data (such as email or NNTP ) or is not 8-bit clean .
Huffman tree generated from the exact frequencies of the text "this is an example of a huffman tree". Encoding the sentence with this code requires 135 (or 147) bits, as opposed to 288 (or 180) bits if 36 characters of 8 (or 5) bits were used (This assumes that the code tree structure is known to the decoder and thus does not need to be counted as part of the transmitted information).
The Text Encoding Initiative (TEI) is a text-centric community of practice in the academic field of digital humanities, operating continuously since the 1980s.The community currently runs a mailing list, meetings and conference series, and maintains the TEI technical standard, a journal, [1] a wiki, a GitHub repository and a toolchain.