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Programme Courses

Courses on the 1st, 2nd, and 4th semester. For courses offered by the programme on the 3rd semester, please see the web page on elective courses.

Admissons also open for other students not on the programme, as long as the course entrance requirements are met (see course syllabus for each respective course).

LT2001 Introduction to Programming

7.5 hecr, 1st semester, 1st study period

This course will give an introduction to programming suitable for students who have not programmed before. Includes an introduction to computer science aspects like algorithms, data structures, and programming paradigms. This course also introduces the programming environment and basic concepts, theories, and technologies used in the master's programme. It will also give an overview of important language technology research areas and applications.

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

 

LT2002 Introduction to Formal Linguistics

7.5 hecr, 1st semester, 1st study period

This course will provide an intensive introduction to formal linguistics, including relevant aspects of the main subfields of linguistics such as phonetics, phonology, morphology, syntax, semantics, and pragmatics. It also introduces lab exercises with practical applications of linguistic theory within language technology.

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

LT2003 Natural Language Processing

15 hecr, 1st semester, 2nd study period

This course gives a theoretical view of problems encountered within natural language processing, and some standard solutions. Students will gain practical experience in programming while solving these problems. The programming language used in Introduction to programming will also be used in this course together with standard NLP libraries. The course is divided into four main topics, one covering basic concepts and three covering subfields of natural language processing:

  1. Basic concepts:
    • Basic concepts in NLP.
    • Automata theory and mathematical linguistics.
    • Probability theory and machine learning.
    • Evaluation measurement, correctness, precision, and recall.
  2. Words:
    • Corpora and corpus annotation.
    • Finite-state methods for segmentation and morphological analysis.
    • Statistical language modeling with n-gram markov models.
  3. Syntax:
    • Part-of-speech tagging and chunking/partial parsing, making use of methods within machine learning or/and finite-state technology.
    • Common formal grammars, such as feature based and probabilistic context-free grammars.
    • Syntactic parsing.
  4. Semantics and Pragmatics:
    • Lexical semantics, lexica, Wordnet and Framenet.
    • Word sense disambiguation with machine learning.
    • Text classification with machine learning.

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

 

LT2212 Statistical Methods

7.5 hecr, 2nd semester, 1st study period

The purpose of this course is to give an introduction to probabilistic modeling, statistical methods and their use within the field of language technology. The following topics will be covered in the course:

  • Probability theory
  • Information theory
  • Statistical theory (sampling, estimation, hypothesis testing)
  • Language modeling
  • Part-of-speech tagging
  • Syntactic parsing
  • Word sense disambiguation
  • Machine translation
  • Evaluation

Elective course offered by the programme for students taking the one-year degree: Degree of Master of Arts (60 credits) in Language Technology (Filosofie magisterexamen i språkteknologi).

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

LT2216 Dialogue Systems

7.5 hecr, 2nd semester, 1st study period

A dialogue system (or a conversational agent) is a computer system that can have a dialogue with a human user. The dialogue is often speech-based and can sometimes use text, graphics, gestures, or other modalities to enhance the communication so it will be as efficient as possible. The latter case is said to be multi-modal dialogue systems. A (pure) speech-based dialogue system can be said to consist of (at least) three modules: a module for the production of synthetic speech, a module for recognition of human speech, and a module for dialogue management. The lectures will treat the speech technology components as "black boxes" and spendmost of the time on theories behind dialogue management and how to combine components to usable systems. To some extent, these theories will also be connected to theories of human-human dialogue and to concepts such as dialogue structure, turn-taking and feedback.

The course lectures will also discuss important standards in the field, such as the W3C recommendations "Speech Recognition Grammar Specification" (SRGS), "Semantic Interpretation for Speech Recognition" (SISR), "Speech Synthesis Markup Language" (SSML) and "VoiceXML", and "State Chart XML" (SCXML). Time will also be spent on introducing good and proven methodology for design of dialogue systems.

But the course is primarily a laboratory course and participants are expected to spend much of the time experimenting (with teacher support) with speech synthesis and speech recognition and to actually design, implement and evaluate simple dialogue systems.

Elective course offered by the programme for students taking the one-year degree: Degree of Master of Arts (60 credits) in Language Technology (Filosofie magisterexamen i språkteknologi).

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

LT2213 Computational Semantics

7.5 hecr, 2nd semester, 2nd study period

The course gives a basic introduction to model theoretical semantics for natural language (as developed for example in Montague semantics and Discourse Representation Theory) and its implementation using suitable programming techniques. It also introduces theorem proving and its application to reasoning in natural language applications.

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English 

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

LT2214 Computational Syntax

7.5 hecr, 2nd semester, 2nd study period

The course deals with central methods and techniques in the development of formal grammatical approaches to natural language, such as:

  • phrase-structure grammar
  • categorial grammar
  • feature-based grammar formalisms

It also provides an overview of syntactic constructions and how they are to be described and implemented in a formal grammar.

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

LT2205 Master's Project (one year)

15 hecr, 2nd semester, 2nd study period

Project course for students taking the one-year degree: Degree of Master of Arts (60 credits) in Language Technology (Filosofie magisterexamen i språkteknologi).

Students will be associated with a research or development team with a place either in industry or in one of the laboratories engaged in language technology research at the University of Gothenburg. The project will normally include both a written report and an implementation.

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Application

The course can be offered as a freestanding single subject course for students not on the MLT programme. Information on application deadlines and admissions in the university course catalogue:

LT2402 Master's Project (two years)

30 hecr, 4th semester

Project course for students taking the two-years degree: Degree of Master of Arts (120 credits) in Language Technology (Filosofie masterexamen i språkteknologi).

Students will be associated with a research or development team with a place either in industry or in one of the laboratories engaged in language technology research at the University of Gothenburg. The project will normally include both a written report and an implementation.

Course Syllabus

The course syllabus in full as adopted by the head of department can be downloaded in pdf.

Course syllabus in English

Course syllabus in Swedish

Contact Information

MLT study adviser, programme coordinator and education coordinator

mlt-info@flov.gu.se

Visiting Address:
Olof Wijksgatan 6

Page Manager: Monica Havström|Last update: 4/24/2016
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