English linguistics

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)

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

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)

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

- brainstorming

- classic problem-solving

- practical analytical

- project work

- seminar

Mini lectures, discussions, analytical tasks, peer-teaching and team-work, brainstorming sessions

- pokaz

- pogadanka

- ćwiczeniowa
- projektu
- seminaryjna

- metody oparte na współpracy
- metody rozwijające refleksyjne myślenie

This course introduces students to new methods and tools in English linguistics, focusing on tools for collecting and dealing with multimodal data.

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.

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).

Graded credit based on:

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)

N/A