LI1407 Språkteknologi - Language Technology, 7.5 credits, part of Linguistics at grudnnivå (First cycle studies)

Information about Corona – please read every day! Information is updated continuously

 

Register via Ladok

see here how you register yourself for the course until January 17th!

 

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Lectures

Thursdays - 13:15 - 15:00 

 

Next lecture: 24th March (only zoom, please, sign up for the experiment)

zoom link: 

https://gu-se.zoom.us/j/67292876518

 

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Summary

In this course, we present a smörgåsbord of topics in language technology or computational linguistics at an introductory level to give you an idea of what language technology is and also to introduce you to the Master in Language Technology (MLT) that you can study with us at an advanced level (Second Cycle) and further on at a doctoral level (PhD, Third Cycle) within CLASP and Språkbanken. 

All lectures will be at an introductory, near popular science, level. The course will discuss how to build on your knowledge of linguistics that you have already acquired to address (i) issues in modelling language with computers; (ii) language technology applications; and (iii) how various components of language technology fit together.

At the beginning of the course, you might hear that it is about Language Technology, Natural Language Processing or Computational Linguistics. At that point, you might start wondering what the difference is. Although some researchers might want to draw a line of difference between these terms, they generally seem to be interchangeable and this is also how we will use them in this course. Succinct descriptions of the field can be found here or here.

 

You need at least 60 credits of courses at grundnivå to start this course. Also, note that most lectures and assignments will be given in English as in the MLT.

The official course syllabus can be found here.

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Lecturers

• Eleni Gregoromichelaki (EG): course organizer, e-post: eleni.gregoromichelaki@gu.se
• Dana Dannélls (DD)
• Simon Dobnik (SD) 
• Julian Grove (JG)
• Nikolai Ilinykh (NI)
• Torbjörn Lager (TL)
• Aarne Ranta (AR)
• Asad Sayeed (AS)
• Chris Howes (CH)

You can contact lecturers by following the information on their webpages or you can send them a message through Canvas.

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Course administration

Hektor Löfgren (hektor.lofgren@gu.se)

Study Counselling

Andreas Ott (andreas.ott@gu.se)

Service Center

https://studentportal.gu.se/english/help-and-guidance/service-centers/?languageId=100001

 

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Examination

Details about course prerequisites and requirements to pass this course can be found here.

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Course resources

• A general reading list for the course. Individual readings will be suggested from this list and more further reading for each meeting.
• Slides and local copies of papers can be found in Files and by expanding each calendar entry.

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Students practical links 

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Schedule

https://cloud.timeedit.net/gu/web/schema/riqQo2QqX50Z5QQ097575ZZZ67071Y6Q6Y2vY6wQ5yo.html

Note that the schedule is preliminary until two weeks before the course starts!

 

 

Schedule

Date	Topic	Lecturer	Location	Notes
Thurs 20 Jan 2022 -  13:15 - 15:00	Introduction	EG	C256  hybrid meeting: https://gu-se.zoom.us/j/67292876518
Thurs 27 Jan 2022 -  13:15 - 15:00	Formal representations for Computational Semantics	JG	C256  hybrid
Thurs 3 Feb 2022 -  13:15 - 15:00	Python for Linguistics	NI	J335 hybrid
Thurs 10 Feb 2022 -  13:15 - 15:00	Prolog for NLP	TL	C256 online only
Thurs 17 Feb 2022 -  13:15 - 15:00	Computational Syntax	AR	J336: hybrid, see above
Thurs 24 Feb 2022 -  13:15 - 15:00	Language Technology Resources	DD	G212 - hybrid, see usual zoom link above	Slides
Thurs 3 Mar 2022 -  13:15 - 15:00	Machine Learning	AS	G212 - hybrid, see usual zoom link above
Thurs 10 Mar 2022 -  13:15 - 15:00	Interactive Machines	SD	G212 - hybrid
Thurs 17 Mar 2022 -  13:15 - 15:00	Dialogue	CH	G212 - hybrid	Slides
Thurs 24 Mar 2022	Mock dialogue experiment	EG	J406 - zoom only