Workshops of Winter School 20/21

As part of the Winter School 20/21 Learn about Linguistic Data Science we offer two workshops for interested students independently of the classes during the winter semester. Participating in those courses will give you the necessary background knowledge to participate successfully in these workshops though. Students who have not taken the online courses will be required to hand in a small programming task to qualify for participation.

Registration is now closed. We are looking forward to the workshops!

Workshop: NN in Python

This workshop will deal with neural network applications in Linguistic Data Science.

In this workshop we will understand how to apply a neural network to an NLP task using Python. We will focus on a concrete example but also discuss general technology and the thought processes necessary to solve a problem with NN.

We will see that recent technology achieves robust results and discuss the generalization problem across data sets.

Time & Place

More details will follow.

The course will probably be online February 22nd-26th, 2021.
(It was originally planned to take place at Ruhr-Universität Bochum).

Going in, you should already know

  • how to write small programs in Python
  • how to use classes and packages in Python
  • what some common linguistic problems and models are
  • basics about linguistics (e.g. the full material required for one of the online classes or about what you would learn by reading any introductory book on the topic).

Registration and CP

Registration is now closed.

Successful participation yields 5 CP for you. If and how you can use this class for your degree depends on your courses regulations. Please feel free to contact us if you or your study advisors have further questions.

Workshop: From Data to Explanation

Annotated corpus data and data from linguistic experimentation form the two major resources to develop data-based explanations in linguistics.
This workshop addresses how corpus and experimental data can be structured and analyzed with generalized linear mixed models in R (using libraries such as lme4, tidyverse, emmeans, and ordinal).

Our data will be based on (open) grammatical problems such as the conditions for omitting a determiner (Kiss 2019), or word order variations.

Time & Place

More details will follow.

The course will probably be online February 22nd-26th, 2021 (it was originally planned to take place at Ruhr-Universität Bochum)

Going in you should already know ...

  • basic programming in R
  • about some Linguistic models
  • about Linguistic Data
  • basics about linguistics (e.g. the full material required for one of the online classes or about what you would learn by reading any introductory book on the topic).

Registration and CP

Registration is now closed.

Successful participation yields 5 CP for you. If and how you can use this class for your degree depends on your courses regulations. Please feel free to contact us if you or your study advisors have further questions.