Machine Translation - Lecture 1: Introduction

Introduction lecture of the Johns Hopkins University class on "Machine Translation".

Course web site with slides and additional material:

Textbooks:

[deepwavv]

Thank you so much for making this high-quality course available for everyone! This is like a treasure for those who want to learn more about MT :)

[andrasaponyi]

Thank you for making this publicly available!

[jenniferkychu]

Thank you for sharing the course on YouTube.

[akbarghurbal]

Looking forward for the rest of the series. Thanks.

[Liiiiiiina_]

Thank you so much i was looking for explanation about this topic glad i found whole series about it

[pss_crs]

In my thoughts outbof this lectur beside the technical issues face TM is language based on the research (English), there's no fixed mathematical rules the languages so we need a language helps us the challenge.
I'm not linguist but after my mom language Somali English and Arabic are secondary and my thoughts are around it.

English is more flexible language and well documented on the other hand not good when it comes Grammarly and using cases also it lacking on vocabulary, speakers put alot of effort on portability to other languages and it worked but still near full percent at last whiting is too poor we all know pronunciation is base of learning the language.
where as Arabic have rigid language structuring and grammar understanding, vocabulary is rich enough as far My understanding portability to other language is to easy if you can speak, and write Arabic every language is be easy to learn other languages what language family it is, if learn how to read Arabic you can't miss pronounce.

Somali is where between them,