Course Details

Course Name
Corpus Linguistics and Statistical Methods
Course Type
Course
Institution
University of Helsinki
Department
Department of Digital Humanities (FIN-CLARIN)
Information
https://courses.helsinki.fi/en/kik-404/120960460
Curriculum
-
Status
record actively maintained
Course Language
English
Start Date
2018-01-15
recurring
ECTS
5
Lecturer
Mietta Lennes
PID
Disciplines: Human Language Technologies, Linguistics and Language Studies
Techniques: Browsing, Collocation Analysis, Concordancing, Searching
Objects: DigitalHumanities, Data, Infrastructure, Language, Link, Literature, Map, Metadata, Research, ResearchProcess, Text, Tools, Visualization, Speech
Access Requirements
Students from outside the University of Helsinki and from outside Finland are welcome to participate. However, please note that the number of accepted participants will be limited. In case you are not a student at the University of Helsinki, you may register by filling in the registration form that will be available via the course website during the registration period.
Description
This course is intended for students in languages or other fields who wish to learn the basics of corpus use. It is possible to take this course either in Finnish or in English. Please note that you will need to select your working language at the beginning of the course. After passing this course, you will understand what a corpus is and how corpora can be used for solving small questions concerning language use. You will be familiar with the fundamental terminology in corpus linguistics as well as with some of the most important statistical concepts regarding corpus analysis. You will have at least initial skills in using some corpus tools. You will also know, at least in principle, how you could start collecting a corpus of your own for research purposes.
Keywords
Disciplines: Human Language Technologies, Linguistics and Language Studies
Techniques: Browsing, Collocation Analysis, Concordancing, Searching
Objects: DigitalHumanities, Data, Infrastructure, Language, Link, Literature, Map, Metadata, Research, ResearchProcess, Text, Tools, Visualization, Speech