Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
4ETI 212Translation Technologies II3+0+03603.08.2024
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program English Translation and Interpretation
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course This course aims to provide students with a comprehensive understanding of Machine Translation and CAT tools, with a specific focus on Smartcat and Phrase. Students will gain practical skills in using these tools for translation, including translation memory, terminology management, alignment, quality assurance, post-editing, and project management.
Course Content The course will cover theoretical concepts as well as hands-on exercises and projects, allowing students to apply their knowledge in real-world translation scenarios. By the end of the course, students will be able to use Smartcat and Phrase effectively to produce high-quality translations.
Course Methods and Techniques Attendance is a must. There is an absence limit of 30 % of the total course hours (which is 12 hours) in a term. Medical reports are included in these 12 hours. The students who exceed the limit will automatically fail. Partial absence or lateness of 15 minutes or more will be counted as a full class absence. The students should participate in all the activities done in the class and do the assigned homework. Assignments should be submitted on time. No late submissions will be accepted.
Prerequisites and co-requisities ( ETI 205 )
Course Coordinator None
Name of Lecturers Asist Prof.Dr. AYŞE SAKİ DEMİREL
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources
Course Notes For Smartcat:
•Smartcat Help Center (https://help.smartcat.com/)
For Phrase:
• Memsource Help Center (https://support.phrase.com/hc/en-us/)
These resources offer detailed information on how to use the tools, including step-by-step guides, FAQs, and video tutorials.
This schedule is tentative and may be modified during the semester

Course Category
Social Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Assignment 1 % 10
Attendance 15 % 0
Final examination 1 % 50
Total
18
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 2 10 20
Assignments 6 10 60
Presentation 6 10 60
Mid-terms 1 1 1
Final examination 1 1 1
Total Work Load   Number of ECTS Credits 6,13333333333333 184

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to the Course • Review of the previous course (Translation Technologies I) • What we will do in this course
2 Introduction to Cat Tools • Understanding basic/common features & concepts of Cat tools (Machine Translation, CAT, Translation Memory, Term Bases, Terminology Management, Alignment, Pre-editing, Post-editing, Segmentation, Fuzzy, Full Match, Exact Match Quality Assurance, Project Management, Blind Faith, Error Propagation, Trados Discount, Simshipment etc.) Getting Started with Smartcat • Creating an account and setting up a project • Understanding the user interface • Creating a translation memory • How to use translation memory effectively • Creating and managing termbases • Understanding fuzzy matches • How to use translation memory effectively • Creating and managing termbases • Understanding fuzzy matches • Working with segmentation • Using machine translation (post-editing process) • Applying quality assurance checks • Setting up a sample translation project
3 Translation Practice on Smartcat (Individual work)
4 Translation Practice on Smartcat (Individual work)
5 Translation Practice on Smartcat (Individual work)
6 Getting Started with Phrase • Creating an account (for the academic Edition) and setting up a project • Understanding the user interface • Creating a translation memory • How to use translation memory effectively • Creating and managing termbases • Understanding fuzzy matches • How to use translation memory effectively • Creating and managing termbases • Understanding fuzzy matches • Working with segmentation • Using machine translation (post-editing process) • Applying quality assurance checks • Setting up a sample translation project
7 Translation Practice on Phrase (Individual work)
8 Midterm Exam
9 Translation Practice on Phrase (Individual work)
10 Translation Practice on Phrase (Individual work)
11 Translation Practice on Phrase (Individual work)
12 Translation Practice on Phrase (Individual work)
13 Translation Practice on Phrase (Individual work)
14 • AI-supported translation • AI-supported translation and ethics • Post-Editing
15 Localization Course Review (Review of the project management process and basic functions of n Smartcat and Memsource Phrase)

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 4 3 5 5 5 5 4 5 5 3 5 5

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant