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Courses in summer term 2024 / Lecture Natural Language Processing

The objective of this course is to introduce research questions from computational linguistics that can (and need to) be solved with large amounts of language data. Alongside, we introduce relevant basic linguistic phenomena and standard ways of describing them. We then discuss a number of tools and approaches that are based on large amounts of language data. Participants are familiarized with the notions, issues and approaches in the presentation part of the course (08:15 - 10:00) and then can themselves experiment with data and tools, in order to contribute to a common descriptive and analytic task. Examples and data are taken from English (or paraphrased in EN).

Lecturer: Professor Dr.Christian Wartena Trainer: Johannes Schäfer.
 
Lecture:
Time: Thu 8:45-10:15
Location: B026
Begin: 11.04.2024
Assignment: MSc WI & IMIT & DA
 
Seminar:
Time: Thu 10:30-12:00
Location: B026
Begin: 11.04.2024
 
Exam:
Date:
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More:
Moodle:Moodle
LSF:LSF
Modul- Handbuch:MHB
Last Lecture: here