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.

Education

IT and Cognition

Learning outcome

Academic objectives

See the curriculum:

MA-level 
2019 curriculum

See all the curriculums.

 

 

Continuous feedback during the course of the semester
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   (6-77686e6e7076476f7c7435727c356b72)
  • Manex Aguirrezabal Zabaleta   (18-5569766d8036496f7d717a7a6d82696a697448707d7536737d366c73)
Saved on the 25-09-2024

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