Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Arkistoitu opetussuunnitelma 2016–2018
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
Opinto-oppaat » Matemaattis-luonnontieteellinen tiedekunta » Tulevaisuuden teknologioiden laitos
TKO_2101 Natural Language Processing 5 op
Organised by
Computer Science
Preceding studies

Learning outcomes

The course focuses on the fundamental methods of natural language processing. The students learn how to apply machine learning methods to deal with the ambiguity present in human language at all levels. Working their way from elementary n-gram models to methods of natural language understanding, the students will learn the relevant methods and how to apply them to real-world data, using existing software packages and libraries. The course also lays the methodological foundations for Information Retrieval (TKO_2098) and Text Mining (TKO_2099).


Language models, morphological and syntactic analysis, computational semantics, deep learning and vector space representations, large-scale data resources, evaluation.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
  • In English
Project / practical work
  • In English
Written exam
  • In English

Lectures, hands-on programming exercises, project, exam


Numeric 0-5.

Study materials

Lecture material, online documentation, selected chapters from Jurafsky & Martin - Speech and Language Processing.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Biokemian laitos
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)