With a background in computational linguistics, Maarten has been involved in many corpus projects. Over the course of time he has developed the TEITOK environment, which is intended to allow linguists to build, maintain, and improve their own corpus without the need for extensive computational skills. Maarten is currently employed at the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, at Charles University in Prague.
This blog examines TEITOK, which is a corpus framework used as an alternative to Omeka. TEITOK is centered around texts and is similar to the Omeka interface – both allow you to search through the documents, and display the transcription. The main difference is that Omeka treats the transcription as an object description, whereas TEITOK not only shows that a word appears in a document, but also where it appears and how it is used.
