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Elective Courses

Elective courses offered by the programme on the next third semester.

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).

LT2306 Machine Learning

7.5 hecr, 3rd semester, 1st study period

The purpose of the course is to give a broad introduction to machine learning topics, with special focus on their application in natural language processing. Possible topics include:

  • Supervised learning, e.g. perceptrons, support vector machines, logistic regression.
  • Automatic rule induction, e.g. transformation-based learning, inductive logic programming, decision trees.
  • Lightly supervised approaches, e.g. EM, k-means, domain adaptation.
  • Learning theory, e.g. the PAC and VC frameworks.
  • Learning with structure, e.g. conditional random fields, structured perceptron, tree kernels.
  • Feature design for NLP 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:

LT2309 Dialogue Systems 2

7.5 hecr, 3rd semester, 1st study period

The course gives in-depth knowledge about theories and methods for the design, implementation and evaluation of dialogue systems, focusing especially on:

  • Semantics and pragmatics for dialogue systems
  • Data collection and analysis
  • Advanced dialogue management
  • Multimodality
  • Evaluation of dialogue systems
  • Advanced implementation techniques

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:

LT2310 Language Technology Project

7.5 hecr, 3rd semester, 1st study period

This course is done individually at a company or in an ongoing research project. The goal is to carry out a small research language technology research project within a larger framework. This involves formulating a research problem relevant to the company or project, planning the work, carrying out the research task, evaluation, writing a report, and presenting the results verbally.

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:

LT2304 Language Technology Resources

7.5 hecr, 3rd semester, 2nd study period

The purpose of this course is to give a further introduction to language technology resources, with the main focus on data resources (such as corpora, lexicons, grammars for morphology, syntax and text, and language models). Algorithmic resources (or language technology tools) will be briefly discussed in connection with the corresponding data resources. The course is thematically organized into the following components:

  • Resource types.
  • Construction/acquisition of resources.
  • Use of resources in language technology research and development.

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:

LT2308 Embodied and Situated Language Processing

7.5 hecr, 3rd semester, 2nd study period

The course gives a survey of theory and practical computational implementations of how natural language interacts with the physical world. We will look at topics such as semantic theories of human language, action and perception, situated dialogue, situated language acquisition, grounding of language in action and perception, spatial cognition, generation and interpretation of scene descriptions from images and videos, integrated robotic dialogue systems and others.

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:

Contact Information

MLT study adviser, programme coordinator and education coordinator

mlt-info@flov.gu.se

Visiting Address:
Olof Wijksgatan 6

Page Manager: Robert Adesam|Last update: 4/23/2016
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