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4.25
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Up and Running with Machine Translation through RIAN

Learn the basics of MT without getting into the math. Leverage all third party tools to increase your productivity.
Instructor:
Inkan Courses
211 students enrolled
English [Auto-generated]
You will learn practical ways to apply machine translation in your day to day work easily and effectively.
This course is designed to benefit both those new to the industry looking to start a career as an independent translator, as well as those who are already self-employed translators wanting to advance their career and success

When the term ‘globalization’ comes to mind, we get the image of leaving one country and reaching another distant one to deliver goods or services. In the last couple of decades the definition of globalization has completely changed. And to add to that digitalization has brought people and business even more global. We have now entered into the world where unprecedented global flow of information is occurring and to be effective you have to be abreast of all the latest happenings.

In efforts to help you stay current with the latest innovations in the language industry we created this course to help you understand the quick overview of machine translation and application of it to help you go global effectively.

As you already know, the machine translation field has come a long way since the times of extremely inaccurate online translation tools in early 2010s, most notably Google Translator. This low quality of MT was primarily because of generic translation tools which were not customized for a specific purpose/domain.

Recent advances in Machine Learning and its application to Machine Translation are proving to be much better at the job of translation and slowly becoming more and more accurate and user friendly. However, similar to human translators, machines need to train (practice/learn) themselves with a huge amount of domain specific data to provide high quality output, thus making customization a requirement.

From business perspective, a MT tool can increase the business productivity due to possibility of faster communication in multiple languages. The MT system can be trained for a certain language pair and specific domain for specific business objective. MT systems are cheaper and have more capacity. As the volume of information grows, it supersedes the human capacity and economical constraints. MT is the possible solution to translate the material that can’t be otherwise translated.

This course covers the basics of Machine Translation and its use in Translation.

THIS COURSE IS FOR YOU IF

  1. You are dealing with more than one language.

  2. You are doing or planing to do global business

  3. You want to interact and learn from other cultures and languages.

Introduction

1
Introduction to the course

Introduction to Machine Translation

1
What exactly is machine translation?
2
How machine translation evolved?
3
What is Rule based Machine Translation(RBMT)?
4
What is Example Based Machine Translation(EBMT)?
5
What is Statistical Machine Translation (SMT)?
6
What is Neural Machine Translation (NMT)?
7
Limitations of Machine Translation?
8
What next?
9
What are the key takeaways from this session?

Practical use of Machine Translation

1
Usecase of applying machine translation
2
Demo of RIAN

Bonus section

1
Free credits for using RIAN.io
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

1 hours on-demand video
2 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion