Currently there is a win-win relationship between human translation and machine translation. At the one hand Computer Aided Translation is one of the best ways to utilize machine translation and help humans do the translation. At the other hand the result of human translation can contribute to machine translation. In this presentation we will deeply explore this relationship. Besides, where else can we use machine translation? E-commerce is one of the most popular answer and tourism is one of the most helpful answer. Machine translation can somehow help you to know the world that you never know.

1. How to make translation easier with machines

2. HELLO!
Zong Hao (Peter)
Natural Language Processing Director from
Global Tone Communication Technology Co., Ltd.
zonghao@gtcom.com.cn

3. 1. About GTC( 中 通译语 )
• Established in 1973, the first and largest LSP in China
• 100+ languages for human translation
• 32 languages for machine translation
• Billions of professional corpus
• Machine Translation
• Natural Language Processing
• ASR & TTS
• Semantic Search
• Deep Learning
Our History
Our Resources
Core Technologies

4. 2. Our Platforms
Cross-Language
Big Data Analytical Platform
Global Language
Service Platform
Open Translation Toolkit

5. 2.1. YeeCloud
YeeCloud™ is an integrated service
ecosystem based on cloud computing and
language big data.
Provide smart language services for
Internet users, commercial clients,
professional translators and LSPs.

6. 2.2. YeeKit
YeeKit
Multi-Language Machine Translation
-32 Languages
-High Quality and No Latency
-Incremental Learning
Computer-Assisted Translation
-Free Cloud-Based Platform
-Cooperative Work and Process Management
-Online Translation Memory
YeeCaption Video Translation
-Real-tme Subtitle Translation
-Automatic Search and Match
-Automatic Speech Recognition
Webpage Localization
-Browser Plug-in
-11 Browsers Supported
-Viewing Foreign Webpages in
Native Languages
Open Language Assets
-Billions of Corpora
-Cloud Synchronization
-Big Data Sharing
Developers Platform
-Open API
-Support User Integration &
Customized Development

7. 2.3. YeeSight
Cross-Language Big Data Analytical Platform
1. Integrate, secure and analyze cross-language
data at a massive scale
2. Enable users to interact smoothly with data and
make better decisions
3. An intelligent engine combining machine
translation and semantic search
• Analysis of the trends in social network data
• Intelligent analysis and forecast of market
trends
• Analysis of economic and financial statistics

8. What is translation?

9. Social Science: from language A to language B.
Neural Science: expressing the same thing with different interpretation.

10. Origin
Two men who recently spent
five days on a coral island
wished they had stayed
there longer. They were
taking a badly damaged boat
from the Virgin Islands to
Miami to have it repaired.
Translation
Translation
最近有两个人，在珊瑚
岛上度过了 5 天时间，
而且想再呆得时间长一
点。他们驾着一艘严重
损坏的小船从维尔京群
岛出发去迈阿密港修理
。

11. Translation Market
• Top 100 firms ranging from $427M down to $4M according to studies by
Common Sense Advisory.
• $33.5 billion in 2012, and $37 billion in 2018.
− The United States represents the largest single market for translation services.
− Europe is a close second and Asia is the largest growth area.
• The translation industry is expected to grow by 42% between 2010 – 2020.

12. Big Growth
Globalization
Machine Translation
Computer Assisted Translation

13. Translate with machines
Bad Semantic
Just like the combination of the results of looking up the dictionary.
Poor Grammar
The grammar of machine translation is not stable, and seems to be
good when the translation text meet its trained data.
Not Smooth
Not readable, and hard to understand.

14. So basically the machine translation is a crap?

15. Applications using machine translation

16. Origin
Two men who recently spent
five days on a coral island
wished they had stayed there
longer. They were taking a
badly damaged boat from the
Virgin Islands to Miami to
have it repaired.
Translation
Translation
最近有两个人，在珊瑚岛
上度过了 5 天时间，而且
想再呆得时间长一点。他
们驾着一艘严重损坏的小
船从维尔京群岛出发去迈
阿密港修理。

17. Machine Translation is Not Reliable
Long &
Complicate
d
Middle
Short &
Easy

18. Are Translators Reliable?
• Translation Memory
• Terminology Memory

19. Translation Network
our office

20. 1,000,000,000

21. 1,000,000,000
Translation memory
50%~100%Perferably matching rate
0.20 second

22. With Computer Assisted Translation System
Anyone Anywhere Anytime

23. Let’s review what CAT can do
Translation memory
Match the translation text with
appropriate translation memory.
Terminology memory
Gives the translation of some
pre-defined terminology.
Machine translation
Integrated with machine translation
Dcitionary
Get explanation of some rare words
Crowdsourcing
Spilt a large project into small
pieces.
Others
Smart input method.
Auto progress reminder.
Teamwork.

24. Use your Android phone to do translation
Android Project

25. iPhone Project
Use your iPhone to do translation

26. Tablet Project
Use your tablet to do translation

27. Desktop Project
Use your desktop to do translation

28. Not enough!

29. Voice Translation
• Convert the Voice to text
• Translate the text to target language.

30. Image Translation
• Recognize the text
• Translate the text to target language
• Reconstruct the image with corresponding
translation

31. Subtitle Translation
• Convert the voice to text with timeline.
• Translate the voice’s text to target language.
• Add the translation to the original subtitle.

32. Subtitle Translation

33. Web Translation

34. www.yeecloud.com
www.yeekit.com

35. Thanks!
www.yeecloud.com
www.yeekit.com