Ngoc Duyen Tanja Tu


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Making Non-Normalized Content Retrievable – A Tagging Pipeline for a Corpus of Expert–Layperson Texts
Christian Lang | Ngoc Duyen Tanja Tu | Laura Zeidler
Proceedings of the 4th Conference on Language, Data and Knowledge


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Annelen Brunner | Stefan Engelberg | Fotis Jannidis | Ngoc Duyen Tanja Tu | Lukas Weimer
Proceedings of the Twelfth Language Resources and Evaluation Conference

This article presents corpus REDEWIEDERGABE, a German-language historical corpus with detailed annotations for speech, thought and writing representation (ST&WR). With approximately 490,000 tokens, it is the largest resource of its kind. It can be used to answer literary and linguistic research questions and serve as training material for machine learning. This paper describes the composition of the corpus and the annotation structure, discusses some methodological decisions and gives basic statistics about the forms of ST&WR found in this corpus.