Manchester Language Documentation Technology Heads to Russia

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Thanks to a collaboration between the Multilingual Manchester research unit and the University’s Research IT group, students and citizens in Saint Petersburg will now have access to a Russian version of LinguaSnapp – The University of Manchester’s mobile app for documenting language landscapes.

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Developing New Ways of Comparing Ancient Documents

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Nicolas Gruel, a research software engineer from Research IT has been working with Prof Peter Pormann (School of Arts, Languages and Cultures) to easily compare interpretations and translations of a collection of around 60 early Ancient Greek medical works associated with the physician Hippocrates.

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Research IT Club November Presentations Online

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Thank you to everyone who came along to the latest Research IT Club and especially those who took the opportunity to ask questions! The presentations are now available from the links below.

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Research IT Involved in Major BBC Partnership

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The university has recently announced a 5 year partnership with BBC Research and Development and seven other UK Universities to unlock the potential of data in the media. We are pleased to say that Research IT staff will be using their expertise in several areas of this important project.

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Research IT Breathe New Life into Mary Hamilton Papers

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Researchers in English Linguistics from the School of Arts, Languages and Culture were keen to enhance an existing project website, which allows visitors to view scans and transcriptions of historic documents from the John Rylands collection. A series of enquiries eventually lead them to the Research Software Engineers in Research IT.

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Rapid Analysis of Video Data

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Traditionally the first step in interpreting video is to code it into a form that can be analysed systematically. The coding process is currently performed manually, and it can be slow and difficult, and biased by subjectivity.  David Mawdsley (Research IT) recently presented a poster at the first “Advances in Data Science” conference explaining how we are helping Dr Caroline Jay’s group develop a way to quickly code human behaviours allowing the rapid analysis of hours of video.

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