TSI Internships
Metadata for individual data endpoints is automatically generated and therefore incomplete and sometimes false. The task is to pick any data endpoints that shows metadata issues and fix them.
You get access to the TEI/XML files and the corresponding TSI database. The result should be reproducible via script and the TEI/XML files may not be edited.
The current setup to set up a TSI endpoint is a collection of server side scripts. In order to make this process more accessible, a Graphical User Interface is required. The task is to design and implement a PHP based Admin Tool that can be used to set up a new endpoint, load data, delete data & endpoint and edit the metadata.
TSI is always looking for new text corpora that can be included into the infrastructre. The task is to research not-yet available data sets and prepare them as structred TEI/XML. The data endpoints shall then be included into the infrastructre. A succesful internship should include at least 4 new data sets.
There are several text mining algorithms already implemented as part of the tm module but there exist a large number of techniques that are not. The task is to implement new text mining techniques as standalone-PHP scripts that shall be included into the tm module and therefore become available for all data endpoints.
Non-commercial academic research and data service. Impressum and Data Protection