Kaisa_2012_3_photo by Veikko Somerpuro

Ilmoittaudu
13.8.2019 klo 09:00 - 11.9.2019 klo 23:59

Aikataulu

Tästä osiosta löydät kurssin opetusaikataulun. Tarkista mahdolliset muut aikataulut kuvauksesta.

PäivämääräAikaOpetuspaikka
Pe 6.9.2019
14:15 - 15:45
Pe 11.10.2019
14:15 - 15:45

Muu opetus

09.09. - 30.09.2019 Ma 12.15-13.45
14.10.2019 Ma 12.15-13.45
Opetuskieli: englanti
12.09. - 17.10.2019 To 14.15-15.45
Emily Öhman
Opetuskieli: suomi

Kuvaus

  • Bachelor of languages, elective course in the common course block
  • available to students from other degree programmes

No specific pre-requisites.

Introduction to linguistics and phonetics.

After completing the course, you will be able to

  • name techniques for encoding language
  • manipulate text and other linguistic data sets
  • summarise the main principles of applications that involve language technology such as tools for spelling correction, grammar checking, language learning, information retrieval, text classification, dialog systems and machine translation
  • use basic command-line tools in a Unix environment
  • carry-out a small empirical study on real-world data.
  • first year
  • autumn term, period I or II

The course provides an introduction to practical language technology including

  • Technology for encoding languages
  • Basic text processing tools
  • Spelling correction and grammar checking
  • Computer-aided language learning
  • Information retrieval and text classification
  • Dialog systems and automatic question answering
  • Machine translation

The course also provides information of tools and interfaces that support linguistic research and practical applications including a brief introduction to Unix environments and command-line tools.

  • Markus Dickinson, Chris Brew and Detmar Meurers. Language and computers. Wiley-Blackwell, 2013
  • additional reading and online material.
  • lectures featuring guest speakers
  • online reading material, videos, quizzes
  • optional lab sessions and tutorials supporting the practical assignments
  • individual project work
  • peer support (discussion forum, F.A.Q.)
  • documentation of activities via Moodle
  • regular course feedback
  • online exercises including weekly quizzes and practical assignments
  • final individual project
  • standard grading scale (0–5).
  • online course
  • individual reading and online exercises
  • possible contact teaching in the form of lectures, lab sessions and tutorials
  • may include online exams, peer-reviewed tests, quizzes and writing of a term paper.