{"id":25498,"date":"2021-12-15T17:15:50","date_gmt":"2021-12-15T16:15:50","guid":{"rendered":"https:\/\/lium.univ-lemans.fr\/?p=25498"},"modified":"2021-11-30T16:38:12","modified_gmt":"2021-11-30T15:38:12","slug":"summarising-historical-text-in-modern-languages","status":"publish","type":"post","link":"https:\/\/lium.univ-lemans.fr\/en\/summarising-historical-text-in-modern-languages\/","title":{"rendered":"Summarising Historical Text in Modern Languages"},"content":{"rendered":"

Seminar from Chenghua Lin, lecturer at the University of Sheffield<\/h2>\n

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Date:<\/strong> 07\/01\/2022
\nTime:<\/strong> 11h00
\nLocalization:<\/strong> online<\/a>
\nSpeaker:<\/strong> Chenghua Lin<\/p>\n

 <\/p>\n

Summarising Historical Text in Modern Languages <\/strong><\/p>\n

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We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language. This is a fundamentally important routine to historians and digital humanities researchers but has never been automated. We compile a high-quality gold-standard text summarization dataset, which consists of historical German and Chinese news from hundreds of years ago summarised in modern German or Chinese. Based on cross-lingual transfer learning techniques, we propose a summarisation model that can be trained even with no cross-lingual (historical to modern) parallel data, and further benchmark it against state-of-the-art algorithms. We report automatic and human evaluations that distinguish the historic to modern language summarisation task from standard cross-lingual summarisation (i.e., modern to modern language), highlight the distinctness and value of our dataset, and demonstrate that our transfer learning approach outperforms standard cross-lingual benchmarks on this task.<\/p><\/div><\/div><\/div><\/div>

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 <\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

Seminar from Chenghua Lin, lecturer at the University of Sheffield   Date: 07\/01\/2022 Time: 11h00 Localization: online Speaker: Chenghua Lin   Summarising Historical Text in Modern Languages   We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language. This is a fundamentally […]<\/p>\n

READ MORE<\/span><\/i><\/span><\/a><\/p>\n","protected":false},"author":14,"featured_media":13238,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[43],"tags":[49],"acf":[],"_links":{"self":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/25498"}],"collection":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/comments?post=25498"}],"version-history":[{"count":0,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/25498\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media\/13238"}],"wp:attachment":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media?parent=25498"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/categories?post=25498"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/tags?post=25498"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}