Dissertationen / Habilitationen

Offene Dissertationsthemen

Dissertationsthemen in Rücksprache mit den Professoren

Laufende Dissertationen

Nachname Vorname Projekttitel E-Mail HP
Amsler Michi Towards an automated Media Content Analysis: inductive Framing Analysis based on Methods of computational Linguistics here here
Ellendorff Tilia Using Large Databases in order to Detect Interactions in Biomedical Text here here
Furrer Lenz TBD (Large-scale Automatic Extraction of Actionable Information from the Biomedical Literature) here here
Graën Johannes An Efficient Retrieval System for Multilayer Aligned, Large Parallel Corpora here here
Korchagina Natalia Temporal Entity Extraction from historical Texts here here
Makarov Peter Automated Content Analysis: Mining for Protest Events here here
Läubli Samuel Machine Translation and Human–Computer Interaction here here
Müller Mathias Context in Neural Machine Translation here here
Ströbel Phillip Cross-linguistic Modeling of Historic Topic Relations here here

Achtung: Die Projekttitel sind z. T. noch vorläufig.

Abgeschlossene Dissertationen

  • Magdalena Plamada: TBA.
    Referenten: Prof. Dr. Martin Volk, Prof. Dr. Jörg Tiedemann, 2017
    PDF folgt.
  • Laura Mascarell: Crossing Sentence Boundaries in Machine Translation
    Referenten: Prof. Dr. Martin Volk, Dr. Mark Fishel, 2017
    PDF (PDF, 1567 KB)
  • Don Tuggener: Incremental Coreference Resolution for German
    Referenten: Prof. Dr. Martin Volk, PD Dr. Gerold Schneider, Dr. Manfred Klenner, 2016.
  • Sarah Ebling: Automatic Translation from German to Synthesized Swiss German Sign Language
    Referenten: Prof. Dr. Martin Volk, Prof. Dr. Elvira Glaser, Prof. Dr. Pierrette Bouillon, 2016.
  • Kyoko Sugisaki: Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods. Referenten: Prof. Dr. Martin Volk, PD Dr. Gerold Schneider, Prof. Dr. Sandra Kübler, 2016. PDF (PDF, 21352 KB)
  • Annette Rios: A Basic Language Technology Toolkit for Quechua
    Referenten: Prof. Dr. Martin Volk, Prof. Dr. Balthasar Bickel, 2015.
  • Rico Sennrich: Domain Adaptation for Translation Models in Statistical Machine Translation,
    Referenten: Prof. Dr. Martin Volk, Prof. Dr. Holger Schwenk, Prof. Dr. Michael Hess, 2013.
  • Cerstin Mahlow:Linguistisch unterstütztes Redigieren: Konzept und exemplarische Umsetzung basierend auf interaktiven computerlinguistischen Ressourcen
    Referenten: Prof. Dr. Michael Hess, Dr. Michael Zock, März 2011. Permanenter Link der HBZ
  • Fabio Rinaldi: Knowledge Mining over Scientific Literature and Technical Documentation,
    Referenten: Prof. Dr. Michael Hess, Prof. Margaret King, March 2008. [PDF]
  • Gerold Schneider: A low-complexity, broad-coverage probabilistic Dependency Parser for English,
    Referenten: Prof. Dr. Michael Hess, Dr. Paola Merlo, September 2006.
  • Simon Clematide: Syntaktische Desambiguierung von koordinierten Strukturen,
    Referent: Prof. Dr. Michael Hess, April 2006.
  • Richard Forster: A Flexible Approach to Document Clustering in an Open Search Context,
    Referentenen: Prof. Dr. Michael Hess, Prof. Dr. Abraham Bernstein, April 2006. [PDF]
  • Uta Schwertel: Plural Semantics For Natural Language Understanding; A Computational Proof-Theoretic Approach,
    Referenten: Prof. Dr. Michael Hess, Dr. N.E. Fuchs; Mai 2005.
  • Rolf Schwitter: Kontrolliertes Englisch für Anforderungsspezifikationen,
    Referenten: Prof. Dr. Michael Hess, Prof. Dr. Harald Burger, Dr. N.E. Fuchs; Januar 1998.


  • Gerold Schneider: Applying Computational Linguistics and Language Models: From Descriptive Linguistics to Text Mining and Psycholinguistics. Habilitation thesis. Department of English, Institute of Computational Linguistics, University of Zurich. April 2014.
  • Martin Volk: The Automatic Resolution of Prepositional Phrase - Attachment Ambiguities in German. Habilitation thesis. Faculty of Arts, University of Zurich. September 2001. (PDF, 1035 KB)Abstract