Language Data Resources - NPFL070
Title: Zdroje jazykových dat
Guaranteed by: Institute of Formal and Applied Linguistics (32-UFAL)
Faculty: Faculty of Mathematics and Physics
Actual: from 2020
Semester: winter
E-Credits: 4
Hours per week, examination: winter s.:1/2, MC [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Additional information: https://ufal.mff.cuni.cz/courses/npfl070
Guarantor: prof. Ing. Zdeněk Žabokrtský, Ph.D.
Mgr. Martin Popel, Ph.D.
Teacher(s): Mgr. Martin Popel, Ph.D.
prof. Ing. Zdeněk Žabokrtský, Ph.D.
Class: Informatika Mgr. - Matematická lingvistika
Classification: Informatics > Computer and Formal Linguistics
Is co-requisite for: NPFL076
Is incompatible with: NPFX070
Is interchangeable with: NPFX070
Opinion survey results   Examination dates   WS schedule   Noticeboard   
Annotation -
The goal of the course is to provide students with the survey of the field of Language Data Resources. Selected types of linguistic annotations will be described, with emphasis on annotating corpus data and lexical data. Students will gain practice in using software tools for processing such data, especially in the programming language Python. Leading projects for English, Czech, and some other languages will be used for illustration.
Last update: Vidová Hladká Barbora, doc. Mgr., Ph.D. (25.01.2019)
Course completion requirements -

To pass the course, you need to get at least 50% of the total points from the written test and submit all homework assignments.

Your grade is based on the average of your performance; the test and the homework assignments are weighted 1:1. The final grade is assigned according to the following table:

1: ≥ 90%

2: ≥ 70%

3: ≥ 50%

4: < 50%

For example, if you get 600 out of 1000 points for homework assignments (60%) and 36 out of 40 points for the test (90%), your total performance is 75% and you get a 2.

For details, see https://ufal.mff.cuni.cz/courses/npfl070#grading

Last update: Popel Martin, Mgr., Ph.D. (12.06.2019)
Literature -
  • Selected papers from related conferences (e.g. LREC, ACL) and journals (e.g. LRE)

Last update: Vidová Hladká Barbora, doc. Mgr., Ph.D. (25.01.2019)
Syllabus -

1. Introduction

  • motivation for building language data resources
  • typology of language data, usage
  • principles of annotation
  • using annotated data for evaluation in Natural Language Processing tasks

2. Corpora

  • corpus typology, tag sets
  • example corpora, Czech National Corpus
  • parallel corpora
  • searching in corpora

3. Treebanks

  • constituency and dependency syntactic structures, convertibility
  • deep syntactic trees
  • treebank examples

4. Computer lexicography

  • types of lexical information
  • examples of lexical data (inflectional and derivational lexicons, wordnets, valency lexicons, translation lexicons etc.)

5. Other types of language data resources

  • named entity corpora, sentiment corpora, dialog corpora, etc.

6. Authors’ rights perspective on building language data resources; licenses

Last update: Vidová Hladká Barbora, doc. Mgr., Ph.D. (25.01.2019)