September 19, 2019 Presentation Open Access

Holmes, Martin; Fralick, Kaitlyn; Fukushima, Kailey; Karlson, Sarah

DCAT Export

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    <dct:title>How we tripled our encoding speed in the Digital Victorian Periodical Poetry project</dct:title>
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    <dct:description>&lt;p&gt;The Digital Victorian Periodical Poetry (DVPP) project is a SSHRC-funded digital humanities&lt;br&gt; project based at the University of Victoria. With the guidance of principal investigator Dr. Alison&lt;br&gt; Chapman, the DVPP team is creating a digital index of British periodical poetry from the long&lt;br&gt; nineteenth century. In addition to uncovering periodical poems, writing descriptive metadata, and&lt;br&gt; compiling prosopographical research, we are currently using TEI and CSS to encode a statistically-&lt;br&gt; representative sample of indexed poems, looking for quantitative evidence of literary change over&lt;br&gt; time. Such an endeavour requires a large, robust dataset covering a range of periodicals throughout&lt;br&gt; the period.&lt;br&gt; At the time of writing, there are more than 13,000 poems in the database, and we expect that total&lt;br&gt; to reach 20,000. Of these, around 2,000 will be encoded, focusing on the decade years (1820, 1830,&lt;br&gt; 1840, and so on).&lt;br&gt; Journal of the Text Encoding Initiative,&lt;br&gt; 1How we tripled our encoding speed in the Digital Victorian Periodical Project&lt;br&gt; In this presentation, we will showcase the various strategies and tools we have used to speed up&lt;br&gt; our encoding process. We combine simple tricks like keyboard shortcuts with more sophisticated&lt;br&gt; processes to minimize drudgery and increase accuracy. Among the more interesting techniques&lt;br&gt; are:&lt;br&gt; &amp;bull; Auto-tagging of a complete poem in lines and linegroups using a Schematron QuickFix;&lt;br&gt; &amp;bull; Use of advanced CSS selectors in the rendition/@selector attribute to reduce encoding&lt;br&gt; clutter in the poem itself;&lt;br&gt; &amp;bull;&lt;br&gt; A keyboard shortcut to tag rhymes which detects whether the tagged text is a masculine&lt;br&gt; or feminine rhyme and provides the appropriate attribute value;&lt;br&gt; &amp;bull;&lt;br&gt; Auto-detection of cases where a new line-end rhymes with a previously-encoded rhyme,&lt;br&gt; and should, therefore, be labelled to match it, leveraging our growing dataset of nearly&lt;br&gt; 30,000 rhymes;&lt;br&gt; &amp;bull;&lt;br&gt; Instant access to to a rendering of the poem which provides a visualization of the rhyme&lt;br&gt; structure, auto-detection of anaphora, epistrophe and other refrain-like forms, and other&lt;br&gt; diagnostic feedback.&lt;/p&gt;</dct:description>
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