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  1. Kurse
  2. Institut für Linguistik
  3. Computerlinguistik
  4. SoSe 2023

SoSe 2023

Einführung in die Computerlinguistik

  • Trainer*in: Rafael Ehren
  • Trainer*in: Rafael Ehren
  • Trainer*in: Regina Stodden

Computational Morphology (SoSe 2023)

  • Trainer*in: Yulia Zinova

CL Research Colloquium SoSe 2023

CL Research Colloquium SoSe 2023

Master and advanced Bachelor Seminar (Laura Kallmeyer)


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Linguistic Resources 2023

  • Trainer*in: Valeria Generalova

Advanced Python for NLP

  • Trainer*in: Kilian Evang
  • Trainer*in: Rainer Osswald
  • Trainer*in: Yulia Zinova

Advanced Python for NLP

This class covers advanced programming concepts and their implementation in Python. The class is mostly focused on practical issues and is aimed at the following groups:

a) Students who have successfully completed the introduction to programming in computational linguistics with Python and are looking to deepen their programming skills.

b) Students who are in the process of preparing for a bachelor's thesis that includes practical programming tasks or an internship. 

c) Students who are interested in pursuing a master's degree in computational linguistics or a related field. 

d) Students who want to refresh their Python skills or fill existing gaps in their knowledge. This class builds upon the topics of the introductory class. You can find all materials from an earlier installment of that class here:

https://user.phil.hhu.de/~seyffarth/classes/python2020/ (in German).

We will be meeting on site for synchronous lectures. To earn a Beteiligungsnachweis (passing grade), you will be completing practical assignments throughout the semester. The optional Abschlussprüfung (graded exam) will take the shape of a practical project with a class presentation and a written report. We will be using Moodle as a learning platform.

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