1. Say It For Me!

2. Team Members Name: Huiqi Wang (Angel) Name: Yiqing Wang
Major: CSE and ECON
Interest: Travel, outdoor sports
Name: Yiqing Wang
Major: CSE and ART
Interest: Cooking, Swimming

3. Team Members Name: David Mah Major: CSE Anime, Tennis,
Longboarding, Linux
Name: Aswin Pranam
Major: Informatics
Interests: Basketball, Reading

4. Concept Mapping Don't actually read these.
Forms of communication
Picture
Video
audio
Situations one might need another language
Tourism
Language Study
Business
Language Concepts
Reading
Speaking
Listening
Writing
Translation Tools
(Social Community where people correct each others’ writing)
Crowd sourced AI (community/user translate?)
Translate engine (google translate)
Grammar correction
Translation:
Difficulties in automated translation
different languages
need translations quickly
multiple translations -> choose(how do you know what is correct)
translate checking -> correctness (the same as i just wrote above)
People
ethnicity
Pronunciation (British/American)
Target users
communication
How technology can fit in
download
recognition
Don't actually read these.
Just say that it came from Translation

5. Concept Mapping Diagram

6. Prioritization Matrix
Interest
Substantial
Feasibility
What makes a 'correct' translation?
Yes
Yes (Translation isn’t one to one -- there are many ways to translate)
?? (Hard to deal with but not impossible)
more interactive methods to communicate in other languages
Yes (The task of bringing mobile technology to this space)
Yes (The whole point of mobile technology)
Internet connection for online voice translation from the crowd
Yes!!! (Related to mobile technology)
Yes (assume phone service)
Need translations fast
Yes (A balance of technology, speed, and correctness)
Yes (balancing act)
Automated Translation No
Yes (unsolved problem in the universe)
No (Google has proven lousy)

7. Prioritization Matrix
Interest
Substantial
Feasibility
Translation Tools for Business People No
Yes (Business users need perfect reliability, which is extremely hard to offer)
Yes(Same as substantial)
Tools to aid to learning foreign language
Yes
Yes (Some exist already -- certain advanced translation features can be more useful)
Creating communities of translators
Yes(Social Network creation is difficult for chicken/egg problem)

8. Top 3 Problems 1. What Makes a 'Correct' Translation?
Any translating tool needs to take culture and context into account, or translations won't actually be 'correct'.
2. Few Ways to Talk Across a Language Barrier
Images, Audio, and Video can be used to convey translation information and concepts. (which could only possibly work using technology)

9. Top 3 Problems 3. Translations are needed quickly (often in real-time)
While technology can be used to transfer translations/information very quickly, designing a system to deliver good translations is a balancing act between speed and correctness. It's not worth sending translations instantly if they are lousy.

10. Top Problem - Overview What Makes a 'Correct' Translation?
Any translating tool needs to take culture and context into account, or translations won't actually be 'correct'.
This is significant because a translation that doesn't accurately reflect the original idea is useless (possibly harmful).
Stakeholders involve anybody who needs to communicate across a language barrier, whether for casual or formal situations.
Precedents? Lousy automated translation tools. Social translation communities (not realtime translation). Handheld Electronic Dictionaries.

11. What Makes This The Top Problem
What Makes a 'Correct' Translation?
Reliability in translations is why there isn't a true prevalent real-time translation solution.
There are a few solutions to smaller relevant problems, but the systems are either not advanced enough to be used in real-time or not reliable enough for anyone to want to use.

12. Significance What reliable translation can bring:
Verification of existing translations observed in the world.
A lack of frustration/awkwardness from bad translations
Trustworthy communication across a language barrier

13. Stakeholders - Tourists - Language learners - Business people
- Developers/designers
- Native speakers
- Foreign speakers
- Translators (crowdsourcing)

14. Competition I - How people currently handle real-time translation
Electronic Dictionaries (eg. Casio) are sold
to a wide range of users who need a
"pocket dictionary" for popular languages.
Using an electronic dictionary is slow and unreliable. Translations are on a word by word basis, which does not deliver true accuracy based on situational context. The choices of languages are limited, and options (languages, sound, writing pad) can be expensive.

15. Competition II － Automated Translation Tools
Google Translate is a machine-translation service provided by Google Inc. to translate written text from one language into another.
Google Translate is fast and supports many languages, but its word-to-word translation makes the result unreliable. Often people take [incorrect] translations for granted, which can be harmful.

16. Competition III - Social Translation Communities
Lang-8 is an example of a online community of translators. People translate and correct each others' writing for the sake of learning/study.
Lang-8 is irrelevant to real-time translations(this would be awesome), but their existence makes for a good proof of concept that people can offer to translate for each other.