MARKUS - is a reading and text analysis platform with a wide range of functionality

Markus was selected as a runner up in the category Best Tool of Suite of TOOLS in the DH2016 awards

Try MARKUS

including


Automated tagging

Automated tagging and identification of Chinese personal and place names, time references, bureaucratic offices, and Buddhist terms.

Manual tagging

Manual and batch tagging with custom tags.

Keyword tagging

Keyword tagging with user-supplied keyword lists, keyword in context (KWIC), or regular expressions in all languages.

Keyword clipper

Generation of keywords for tagging based on text analysis (keyword clipper developed by Tu Hsieh-Chang at National Taiwan University).

Content filtering

Flexible filtering of tagged content.

Online reference tools

Links to a range of online reference tools including geographical and biographical databases and language and domain-specific dictionaries for online reading.

Text export

Export to several formats including html and TEI to ensure interoperability.

Online storage

Free file storage and management of MARKUS files in personal accounts.

Text import

Text import from textual databases such as Donald Sturgeon's ctext.org (by chapter or, at universities backing ctext by book).

Data export

Export of tagged content and linked data from China Biographical Database to visualization platforms for exploration and analysis of tagged content in the associated VISUS visualization interface (maps, network graphs, tables, timelines, pie charts, tagclouds).

Docusky

Export of MARKUS files for aggregation, combination with metadata or other files, and aggregate or comparative tag and text analysis in Docusky, a platform for the creation of textual databases developed by Tu Hsieh-Chang et al. at National Taiwan University.

Geoport

Export of MARKUS files with identified place names to Geoport, a platform developed by Tu Hsieh-Chang et al. at National Taiwan University for basic spatial analysis and conversion of all MARKUS spatial data for use in more advanced GIS software.

Comments in text

Creation and export of comments (e.g. translations, metadata, to do’s).

Machine learning

Machine learning to improve accuracy and recall for large corpora.

MARKUS Introductory Video

Learn more about us, Only 2 hours :)

Short instruction videos
here

Related Projects


Bol, Peter K., Michael Fuller, et al. China Biographical Database Project (CBDB) (2004–). http://isites.harvard.edu/icb/icb.do?keyword=k16229&pageid=icb.page12970
Bol, Peter K.,Lex Berman, et al. China Historical GIS (2001–). http://www.fas.harvard.edu/~chgis/
Bol, Peter K.,Center for Historical Geography at Fudan University, ACASIAN at Griffith University, et al. Hartwell China History Project GIS (1992–2001). http://www.fas.harvard.edu/~chgis/
Humanities + Design Research Lab at Stanford University. Palladio (2014-). palladio.designhumanities.org
Max-Planck-Institute for the History of Science. PLATIN. http://skruse.github.io/PLATIN/
Donald Sturgeon. Chinese Text Project. 2006- ctext.org.
Tu Hsieh-Chang, Hsiang Jieh et al. Docusky. http://docusky.digital.ntu.edu.tw/
Huimin Bhikṣu, Aming Tu, Marcus Bingenheimer, Jen-Jou Hung, et al. Buddhist Studies Authority Database Project http://authority.dila.edu.tw/ 2008-

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Research Blogs


about research blogs....

Mapping the Chinese Novel with MARKUS

on Oct 11, 2016

MARKUS is the reason I am pursuing my current research project. Inspired by Franco Moretti’s work, I had an idea about mapping the Chinese novel, but it seemed that it would be incredibly difficult to do it on a large scale using traditional methods. Then I learned about MARKUS, and its ability to identify place names in a digitized Chinese text. I tried it on my material, and found that with some manual correction, MARKUS gives me a good overview of all the places mentioned in a particular novel...

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Identifying Joint Activities of the "Ten Friends of the North City Wall"

on Oct 25, 2016

am currently writing an MA Thesis on the "Ten Friends of the North City Wall" (Beiguo Shi You 北郭十友). The image that we have of this group is mainly based on later sources and a few contemporary sources that describe a group of more or less ten young poets who were active during the late Yuan and early Ming in a district near the north walls of Suzhou. We know little of the inner dynamics of this network and how they as a group fit within a larger local network of Suzhou elites during the fourteenth century....

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Studying Intellectual Historical Texts with MARKUS

on Oct 25, 2016

In my study on the recorders of the Zhuzi yulei 朱子語類 (Conversations of Master Chu, Arranged Topically), I use MARKUS to identify personal names, place names, and official titles in the text...

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