Marc Schulder

Marc Schulder

Research Associate in Computational Linguistics

Institute for German Sign Language, Hamburg University

I am a researcher in computational linguistics. After submitting my dissertation on the bootstrapped creation of lexica for sentiment polarity shifters in early 2019, I have now moved into the field of sign language research. As part of the DGS-Korpus project I develop computational methods for the analysis, automatic classification and assisted annotation of German Sign Language (DGS).

Previously I have worked on sentiment analysis, metaphor recognition, and context integration in speech recognition.

I am also the developer of BibTexNanny, a tool that helps you keep your BibTeX bibliography clean and consistent, as well as create streamlined versions of it for individual documents.

Interests
  • Sign Language Linguistics
  • Sentiment Analysis
  • Applied Machine Learning
Education
  • PhD in Computational Linguistics, 2019

  • MSc in Language Science and Technology, 2013

  • BSc in Computational Linguistics, 2011