PLIN049 English language for computational linguistics

Faculty of Arts
Spring 2024
Extent and Intensity
0/2/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Richard Holaj, Ph.D. (lecturer)
doc. PhDr. Klára Osolsobě, Dr. (lecturer)
Guaranteed by
doc. PhDr. Klára Osolsobě, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Bc. Silvie Hulewicz, DiS.
Supplier department: Department of Czech Language – Faculty of Arts
Timetable
Mon 12:00–13:40 G12, except Mon 15. 4.
Prerequisites
English at least at level B1.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 5/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
fields of study / plans the course is directly associated with
Course objectives
This 12-week course is designed to improve the English language skills of students in Computational Linguistics with a focus on reading, discussing, and presenting topics relevant to the field. It aims to foster confidence and practical English usage in an academic and professional context.
Learning outcomes
After finishing this course, student will be able to:
- discuss about topics from (computational) linguistics and informatics in english,
- understand less difficult english written publications from the area of (computational) linguistics and informatics,
- present research results in english,
- write and translate less difficult publications in the area of (computational) linguistics and informatics,
- use acquired knowledge and skills in further study and projects.
Syllabus
  • Week 1: Introduction and Icebreakers
  • * Course overview and objectives
  • * Icebreaking activities to build a comfortable class environment Week 2-3: Understanding Academic Language
  • * Introduction to academic language and terminology in Computational Linguistics
  • * Reading and discussing research papers for comprehension and clarity
  • Week 4-5: Informal Writing and Communication
  • * Developing informal writing skills (blog posts, summaries, emails)
  • * Peer feedback and collaborative discussions on course-related topics
  • Week 6-7: Presentation Skills and Confidence Building
  • * Preparing and delivering short, informal presentations on interesting topics in field
  • * Group discussions and constructive peer feedback Week 8-9: Practical English in the Field
  • * Practical English for job interviews, networking, and collaboration in Computational Linguistics
  • * Mock interviews and networking scenarios
  • Week 10-11: Exploring Computational Linguistics Topics
  • * Group projects exploring interesting topics in Computational Linguistics
  • * Brief oral presentations and discussions on chosen topics Week 12: Final Presentation and Reflection
  • * Students present on topics of interest in Computational Linguistics
  • * Reflecting on progress and personal growth throughout the course
Literature
Teaching methods
Lectures, class discussion, group activities, presentations, projects, homework, reading
Assessment methods
* Participation and engagement
* Informal writing assignments
* Short presentations and discussions
* Final presentation and reflection
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
Teacher's information
Recommended Resources: * TED Talks and popular science articles related to Computational Linguistics for discussion and inspiration * Students are encouraged to explore topics of interest within the field and bring in their materials for discussion.
The course is also listed under the following terms Spring 2017, Spring 2018, Spring 2019, Spring 2020, Autumn 2022, Spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/spring2024/PLIN049