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Description

This course is a journey into the Machine Translation (MT) world, that is rapidly affecting the translation market. During this journey, the learner will delve into how MT works and the history of MT engines. The learner will be equipped with all the necessary skills, along with tips and tricks, to know how to evaluate and post-edit MT output. It consists of four modules. Each module contains one or more than one quiz along with helpful downloadable resources to get started.
In this course, we follow ADDIE's model. Thus, we
A
nalysed market needs for post-editors, in addition to the available MTPE courses. It complies with ISO Standard 18587 for MTPE.
D
esigned the course using the ROPES model to ensure maximum benefit for our learners and help them to encode MTPE skills into their long-term memory. Thus, they can make use of these skills even after a long period of training.
D
eveloped the course using a variety of illustrative methods and quizzes.
I
mplemented the course to be self-paced, to ensure that our learners are freed from time and place limitations.
E
valuated the course and its impact on learners' skills before publishing it.
Who this course is for:
Linguists
Translators
Reviewers
Proofreaders
Post Editors
Revisers

What you'll learn

How does machine translation work?

What are the popular machine translation engines?

What are the common machine translation flaws?

How to pre-edit for machine translation?

How to evaluate raw machine translation output?

How to post-edit raw machine translation output?

What are the post editor's qualifications?

What is the future of MT and linguists?

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
1
1.1-Course Introduction
2-What is Machine Translation?
8
2.1-What is Machine Translation?
2.2-What is the logic behind MT and how does rule based MT work?
2.3-How do Statistical MT and Hybrid MT work?
2.4-How does Neural MT work?
2.5-Quiz 1
2.6-What are the emerging task types and what is a controlled natural language?
2.7-What is pre-editing?
2.8-Quiz 2
3-How to Evaluate MT Output?
6
3.1-What are the common MT flaws?
3.2-What is automatic evaluation?
3.3-Quiz 3
3.4-What is human evaluation?
3.5-MT evaluation sample scale
3.6-Quiz 4
4-What is Machine Translation Post Editing?
8
4.1-What is machine translation post-editing?
4.2-What is light MTPE?
4.3-What is full MTPE?
4.4-Quiz 5
4.5-Are you worried?
4.6-What is the difference between over-editing and under-editing?
4.7-What are the post editors qualifications?
4.8-Quiz 6
5-What's Next for Linguists and MT?
1
5.1-What's next?