Language Processing 2
Course content
Have you ever wondered how to build a system that can process
text automatically, for example translate between languages, reveal
syntactic structure, or extract semantic information?
In this class we will explore fundamental algorithms and models for
natural language processing, and describe the application of these
algorithms and models to key problems in natural language
processing, such as POS tagging, syntactic, semantic and discourse
analysis, and machine translation.
The main focus will be on the practical implementation of methods
for syntactic parsing. The format of the class consists of lectures
(including guest lectures), student presentations, and project
work.
IT and Cognition
Lectures
- ECTS
- 7,5 ECTS
- Type of assessment
-
Written assignment
- Type of assessment details
- Take-home assignment, set subject
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
- Re-exam
-
Take-home assignment, set subject
Single subject courses (day)
- Category
- Hours
- Class Instruction
- 28
- Preparation
- 105
- Exam Preparation
- 73
- English
- 206
Kursusinformation
- Language
- English
- Course number
- HIOK0005FU
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 semester
- Placement
- Spring
- Price
-
More information about registration and price on this side.
- Schedulegroup
-
C1
- Studyboard
- Study Board of Nordic Studies and Linguistics
Contracting department
- Department of Nordic Studies and Linguistics
Contracting faculty
- Faculty of Humanities
Course Coordinators
- Patrizia Paggio (6-76676d6d6f75466e7b7334717b346a71)
- Manex Aguirrezabal Zabaleta (18-5367746b7e34476d7b6f78786b8067686772466e7b7334717b346a71)
Er du BA- eller KA-studerende?
Kursusinformation for indskrevne studerende