{"id":61,"date":"2015-10-07T20:23:05","date_gmt":"2015-10-07T20:23:05","guid":{"rendered":"http:\/\/research.unl.edu\/annualreport\/2015\/?p=61"},"modified":"2015-12-10T22:16:10","modified_gmt":"2015-12-10T22:16:10","slug":"finding-poetry-amid-historic-news-pages","status":"publish","type":"post","link":"https:\/\/research.unl.edu\/annualreport\/2015\/finding-poetry-amid-historic-news-pages\/","title":{"rendered":"Finding Poetry Amid Historic News Pages"},"content":{"rendered":"
\"Soh_Lorang_OR15_009-b_1\"<\/a>
Elizabeth Lorang and Leen-Kiat Soh<\/figcaption><\/figure>\n

Today, exposure to poetry often ends with graduation. But in the 19th century, poetry was broadly popular, appearing prominently in newspapers and influencing American society.<\/p>\n

The difficulty of culling millions of poems from historic newspapers has left a gap in this important aspect of historical research.<\/p>\n

To recover the poetry, a collaboration between UNL Libraries and computer science is developing a unique indexing and retrieval method based on visual cues rather than text. The technique may open new possibilities in searching for interesting patterns in other large datasets.<\/p>\n

\u201cWith the current methods of searching these historic newspapers, there\u2019s no good way to get at the poetic content,\u201d said Elizabeth Lorang, research assistant professor with the Center for Digital Research in the Humanities<\/a>. \u201cBy narrowing down the millions of poems that were published to those by just a handful of authors, we skew our understanding of how poetry functioned for everyday people.\u201d<\/p>\n

In browsing historic newspapers, Lorang realized she was finding poems by cueing on visual distinctions on the page, such as white space and formatting. She teamed with computer scientist Leen-Kiat Soh to see if a computer could be trained to find poems within the millions of newspaper pages digitized for Chronicling America, a Library of Congress and National Endowment for the Humanities project.<\/p>\n

The pair, working with undergraduate students, developed a program that does just that, proving that image-based analysis works well. The method addresses challenges of using text-based approaches on historic documents, such as illegible text.<\/p>\n

\u201cWe\u2019re modeling how human vision finds things,\u201d Soh said. \u201cEven if you don\u2019t understand the language or can\u2019t read the text, you can still find the poem visually, which should help us archive and search texts more efficiently.\u201d<\/p>\n

The technique could be used for other newspaper items, such as sports scores and advertising, as well as on modern digital archives.<\/p>\n

Lorang and Soh plan to create a database of poems linked to Chronicling America.<\/p>\n

The NEH funds their research.<\/p>\n","protected":false},"excerpt":{"rendered":"

Spotting poetry amid millions of historic newspaper pages is dauntingly difficult. A UNL computer scientist and a digital humanities librarian teamed up to solve the problem by developing a computer program that uses visual clues to find poetry. <\/p>\n","protected":false},"author":1,"featured_media":62,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,2],"tags":[92,87,85,91,88,89,93,90,86],"class_list":["post-61","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ored-home","category-stories","tag-center-for-digital-research-in-the-humanities","tag-chronicling-america","tag-computer-science","tag-elizabeth-lorang","tag-image-based-analysis","tag-leen-kiat-soh","tag-national-endowment-for-the-humanities","tag-poetry","tag-unl-libraries"],"_links":{"self":[{"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/posts\/61","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/comments?post=61"}],"version-history":[{"count":10,"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/posts\/61\/revisions"}],"predecessor-version":[{"id":449,"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/posts\/61\/revisions\/449"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/media\/62"}],"wp:attachment":[{"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/media?parent=61"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/categories?post=61"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.unl.edu\/annualreport\/2015\/wp-json\/wp\/v2\/tags?post=61"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}