Digital Teaching
The syllabus, further information on course organisation and exams as well as materials and e-learning elements for this course are delivered via moodle.
Lehrinhalte
This course serves as a practical introduction to corpus and computational linguistic data processing. The aim of the course is to provide you with practical skills in compiling, annotating and querying digital data, esp. linguistic corpora, and the application of selected computational text analysis tools. The course starts with an overview of methods and technologies before moving to the use of the programming language Python and the Stanford NLP Tools in processing natural language data.
Course materials (texts, videos etc.) will be delivered via moodle. Students are exected to work through tutorial videos to gain practical experience using different methods and tools.
Students will be notified when the moodle course goes online at the beginning of April.
The syllabus, further information on course organisation and exams as well as materials and e-learning elements for this course are delivered via moodle.
Lehrinhalte
This course serves as a practical introduction to corpus and computational linguistic data processing. The aim of the course is to provide you with practical skills in compiling, annotating and querying digital data, esp. linguistic corpora, and the application of selected computational text analysis tools. The course starts with an overview of methods and technologies before moving to the use of the programming language Python and the Stanford NLP Tools in processing natural language data.
Course materials (texts, videos etc.) will be delivered via moodle. Students are exected to work through tutorial videos to gain practical experience using different methods and tools.
Students will be notified when the moodle course goes online at the beginning of April.
- Lehrende: Sabine Bartsch
Semester: ST 2022