Conducted in terms: 2022/23L, 2023/24L, 2024/25L

ISCED code: 0232

ECTS credits: 2

Language: English

Organized by: Faculty of Humanities

English linguistics 2510-f2ENG1S-EL

This course introduces students to new methods and tools in English linguistics, focusing on tools for collecting and dealing with multimodal data. Students will work with several programs as well as online software platforms that make it possible to:
- record speech and annotate speech sound and other (e.g. suprasegmental) properties of speech,
- annotate audivisual data as well as further work with the annotations (summarise, combine, exchange, etc.)
- flexibly build different kinds of experimental online studies to acquire particpants' responses and other behavioral data.

List of topics:
- Introduction - 1h
- Praat - 2h
- Elan - 5h
- Labvanced - 7h

Students will also be presented with opportunities to gain experience through assisting in ongoing studies at the CLES NCU lab, which will also be reflected in the class participation score.

Term 2022/23L:

As in A

Term 2023/24L:

As in A

Term 2024/25L:

As in A

Total student workload

Contact hours with teacher: - participation in tutorials - 15 hrs. Self-study hours (35 hrs): -preparation of projects/presentations - 25 hrs. -preparation for classes -10 hrs. Altogether: 50 hrs. (2 ECTS)

Learning outcomes - knowledge

W1 - The student has in-depth knowledge of empirical research on language and interaction and their selected aspects (K_W03, K_W08)

Learning outcomes - skills

U1 - The student is able to search for, analyze, evaluate, select, and apply information using various sources and to formulate critical opinions based on special aspects of linguistic analysis and creative skills in English. (K_U01) U2 - The student is able to gain and deepen their knowledge and develop their research and analytical skills on their own. (K_U11)

Learning outcomes - social competencies

K1 - - The student is able to evaluate their knowledge and skills critically and understands the need for constant learning. (K_K01)

Teaching methods

- brainstorming - classic problem-solving - practical analytical tasks - project work - seminar Mini lectures, discussions, analytical tasks, peer-teaching and team-work, brainstorming sessions

Observation/demonstration teaching methods

- display

Expository teaching methods

- discussion

Exploratory teaching methods

- practical
- project work
- seminar

Online teaching methods

- cooperation-based methods
- methods developing reflexive thinking

Course coordinators

Term 2023/24L:

Agnieszka Sowińska

Term 2024/25L:

Sławomir Wacewicz

Term 2022/23L:

Waldemar Skrzypczak

Assessment criteria

Graded credit on the basis of:
End-of-semester project (W1, U1, U2, K1): 80%
Class participation: (W1, U1, U2, K1): 20%

Very good – 91-100% (5.0)
Good plus – 86-90% (4+)
Good – 76-85% (4.0)
Satisfactory plus – 70-75% (3+)
Satisfactory – 60-69% (3.0)
Fail – 0-59% (2)

Practical placement

N/A

Bibliography

Boersma, Paul (2001). Praat, a system for doing phonetics by computer. Glot International 5:9/10, 341-345

ELAN (Version 6.9) [Computer software]. (2024). Nijmegen: Max Planck Institute for Psycholinguistics, The Language Archive. Retrieved from https://archive.mpi.nl/tla/elan

Finger, H., Goeke, C., Diekamp, D., Standvoß, K., & König, P. (2017). LabVanced: a unified JavaScript framework for online studies. In International Conference on Computational Social Science (Cologne).
https://www.labvanced.com/publication.html

Sloetjes, H., & Wittenburg, P. (2008). Annotation by category - ELAN and ISO DCR. In: Proceedings of the 6th International Conference on Language Resources and Evaluation (LREC 2008).

Term 2022/23L:

As in A

Term 2023/24L:

As in A

Term 2024/25L:

As in A

Notes

Term 2022/23L:

As in A

Term 2023/24L:

As in A

Term 2024/25L:

As in A

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 2510-f2ENG1S-EL in USOSweb