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Translating Networks · Exploring literary translation communities through graph theory

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Attempts to explore the communities, connections, and influences in contemporary literary translation through graph theory. The project also serves as a sandbox to learn about network analysis and other computational methods, as well as to better understand their application in book and publishing history research. Data Collection, Tales from the Front Lines.

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Translating Networks · Exploring literary translation communities through graph theory | translatingnetworks.github.io Reviews

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Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Attempts to explore the communities, connections, and influences in contemporary literary translation through graph theory. The project also serves as a sandbox to learn about network analysis and other computational methods, as well as to better understand their application in book and publishing history research. Data Collection, Tales from the Front Lines.

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Translating Networks · Exploring literary translation communities through graph theory | translatingnetworks.github.io Reviews

https://translatingnetworks.github.io

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Attempts to explore the communities, connections, and influences in contemporary literary translation through graph theory. The project also serves as a sandbox to learn about network analysis and other computational methods, as well as to better understand their application in book and publishing history research. Data Collection, Tales from the Front Lines.

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translatingnetworks.github.io

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Network Analysis of Literary Translation in the U.S. · Translating Networks

https://translatingnetworks.github.io/2014/10/01/lasts2014

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Network Analysis of Literary Translation in the U.S. By Dawn Childress 01 Oct 2014. Tom and I both attended HILT. A few weeks ago, taking the week-long Introduction to Network Analysis. Course with Elijah Meeks. We wanted some quick data to work with, so I pulled the spreadsheets from Three Percent’s Translation Database. Might we detect any gender biases? The slides below outlin...

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Project Team · Translating Networks

https://translatingnetworks.github.io/team

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Thomas O. Beebee. Is Edwin Erle Sparks Professor of Comparative Literature and German at Penn State University. Translation and translation studies have anchored Tom’s scholarly life, as other topics and interests grew arabesquely around these pillars. His most recent contribution to critical translation studies has been the 2012 monograph. Is a PhD candidate in English at Pennsy...

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The best of all possible (DH) worlds · Translating Networks

https://translatingnetworks.github.io/2016/08/15/bestofallpossibleworlds

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. The best of all possible (DH) worlds. By Sean Weidman 15 Aug 2016. Are no doubt at a disadvantage to those who emulate more traditional, business model-esque routes. It’s true that many DH scholars have long championed the benefits of failure in the progression of the Digital Humanities (see, for example, Bethany Nowviskie’s keynote on the history of UVA’s Scholar’s Lab. But it’s...

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Data Collection, Tales from the Front Lines · Translating Networks

https://translatingnetworks.github.io/2016/11/07/datacollection

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Data Collection, Tales from the Front Lines. By Sean Weidman 07 Nov 2016. Our own project goals required an expansion of much of their data, which in turn required many hours of arduous data-filling. A number of weeks ago I addressed some of the theoretical concerns. For example, identifying the genders of the translators began with some well-meaning (but nevertheless problematic...

5

Translating Networks at SHARP 2016, Paris · Translating Networks

https://translatingnetworks.github.io/2016/08/26/sharp2016

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Translating Networks at SHARP 2016, Paris. By Sean Weidman 26 Aug 2016. To read the paper and view the slides, visit: http:/ dawnchildress.com/2016/08/13/sharp16/. Development suite called Neo4j. To create a graph database. For those not familiar with the concept. As I wasn’t when I joined the project), the graph database basically reorganizes/reorients the information of the rel...

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Projects & more · Dawn Childress

http://dawnchildress.com/projects

The website of Dawn Childress, UCLA Digital Library Program. Licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Digital scholarship : book history : textual studies. The work below includes digital scholarship and pedagogy projects; papers and conference presentations; and tutorials and workshop materials. Exploring literary translation communities through network analysis. A web application for publishing TEI-encoded text with geographic data to the web.

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Translating Networks · Exploring literary translation communities through graph theory

Exploring literary translation communities through graph theory. 2016 Licensed under a. CC BY-NC-SA 4.0 International License. Attempts to explore the communities, connections, and influences in contemporary literary translation through graph theory. The project also serves as a sandbox to learn about network analysis and other computational methods, as well as to better understand their application in book and publishing history research. Data Collection, Tales from the Front Lines.

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