University of Helsinki

These learning materials consist of a two-course module that seeks to provide humanities majors with a basic understanding of language technology and the practical skills needed to apply language technology using Python. The module is intended to empower the students by showing that language technology is both accessible and applicable to research in the humanities.

Taken from: Teaching with CLARIN 

https://www.clarin.eu/content/applied-language-technology 

The course demonstrates how HFST tools can be used for generating finite-state morphologies. Through practical exercises, students will learn how to use finite-state methods to develop a morphology for a language. This online course is suitable as a complement to a more theory or linguistics-oriented course on morphology.

After successfully completing the course:

- you can explain the basic theory on finite-state automata and transducers,

- you can design morphological lexica using finite-state technology,

- you know how to write morpho-phonological rules in a finite-state framework,

- you understand the diversity of morphological structure in different languages

 and you know how to take these differences into account when designing computational models of morphology.

Taken from Teaching with CLARIN: https://www.clarin.eu/content/computational-morphology-hfst 

This course offers a general picture of managing speech corpora and of the methods that are available for the acoustic-phonetic study of speech. During the course, students use a speech analysis program called Praat and learn to apply the main features of the program in their own work with speech recordings. In addition, students will learn the basics of another program called ELAN that can be used for transcribing and annotating audio as well as video material.

Taken from: Teaching with CLARIN: https://www.clarin.eu/content/introduction-speech-analysis