20-00-0546-iv Foundations of Language Technology

Lehrende: Dr. rer. pol. Steffen Eger

Veranstaltungsart: Integrierte Veranstaltung

Orga-Einheit: FB20 Informatik

Anzeige im Stundenplan: FoLT

Fach:

Anrechenbar für:

Semesterwochenstunden: 4

Unterrichtssprache: Deutsch

Min. | Max. Teilnehmerzahl: - | -

Lehrinhalte:
The lecture will be held in English.

This lecture provides an introduction into the fundamental perspectives, problems, methods, and techniques of text technology and natural language processing using the example of the Python programming language.

Key topics:

    Natural language processing (NLP)
        Tokenization and Segmentation
        Part-of-speech tagging
        Creating and using corpora
        Statistical analysis
        Syntactic analysis
    Machine Learning
        Categorization and classification
        Information extraction
    Introduction to Python
        Structured programming
        Data structures and IO
        NLTK library for NLP
        Usage of further libraries such as scikit-learn

The course is based on the Python programming language together with an open-source library called the Natural Language Toolkit (NLTK). NLTK allows explorative and problem-solving learning of theoretical concepts without the requirement of extensive programming knowledge.

Literatur:
Steven Bird, Ewan Klein, Edward Loper: Natural Language Processing with Python, O'Reilly, 2009. ISBN: 978-0596516499. http://www.nltk.org/book/

Voraussetzungen:
If you like to work with your own notebook, we kindly ask you to follow the installation instructions given athttp://www.nltk.org/book/.

Weitere Informationen:
After attending this course, students are in a position to
•    define the fundamental terminology of the language technology field,
•    specify and explain the central questions and challenges of this field,
•    explicate and implement simple Python programs,
•    transfer the learned techniques and methods to practical application scenarios of text understanding, as well as
•    critically assess their merits and limitations.