Google I/O 2017 - Impact of Natural Language Processing and Translation Tech
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The document discusses the evolution and impact of natural language processing (NLP) in communication, highlighting Vietnam's competitiveness in global business languages and its advancements in NLP technology. It emphasizes the significant improvements in tools like Google Translate and virtual assistants, underlining the importance of fluency in global languages for competitiveness. The future of NLP appears promising with rapid advancements and increased accessibility, aiming to break down communication barriers.
Google I/O 2017 - Impact of Natural Language Processing and Translation Tech
- 1. Natural Language Generation HOW NLP WILL CHANGE HOW WE COMMUNICATE Rod Realtor Profiler - CEO
- 2. Vietnam’s Competitiveness Ranking - Global No. 60 and rising
- 3. Vietnam’s Competitiveness Ranking - Emerging Asia Against developing countries in Asia
- 4. Global Business Languages Vietnamese is ranked 16th - 1.14% of people speak Vietnamese
- 5. Vietnam’s Proficiency Ranking - English Not bad but still a disadvantage
- 6. Fluency affects competitiveness Lack of fluency in global business languages is a disadvantage
- 7. Natural Language Processing - Definition Computers are starting to communicate Natural Language Processing (NLP) is “ability of machines to understand and interpret human language the way it is written or spoken”. It is a subset of Artificial Intelligence. Instead of specialized languages such as Spanish, Vietnamese, Ruby or Java, there would only be "human."
- 8. NLP Trends - Globally Strong growth in interest as NLP becomes more powerful
- 9. Machine Learning Trends - Vietnam Vietnam is catching up but change is rapid
- 10. Language Technologies - Brief Timeline Key stages in the language translation revolution
- 11. Google Translate’s technology - Evolution Getting rapidly more accurate…
- 12. Google is the leader in NLP Breaking down barries to communication Million Daily Users 200 Billions of Daily Translations 1 Day = Year of Manual 1 Languages 71 Outside the U.S. 92% 71% of customers would prefer to buy products that provide information in their own language
- 13. The future of NLP Rapidly hitting the tipping point More Languages Better Quality More Accessible Real Time Translation
- 14. Cloud’s Machine Learning - Google’s ecosystem Will you need to be able to speak English in the near future? Reveals the structure and meaning of text. Natural Language API Enables developers to convert audio to text Cloud Speech Translate languages using state-of-the-art Neural Machine Translation. Cloud Translation Enables developers to understand the content of an image. Cloud Vision Makes videos searchable, and discoverable, by extracting metadata Video Intelligence
- 15. Machine Learning is at it’s ‘peak’ hype Get involved in industries and solution that are happening now!
- 16. NLP Examples - Amazon Echo A smart voice controlled personal assistant called ‘Alexa’ Answer Questions Plays music Controls Devices Calls & Messages Buy Things
- 17. NLP Examples - Google Assistant A smart virtual personal assistant Answers Questions Tell It Do Stuff Controls Devices Calls & Messages Buy Things
- 18. NLP Examples - VAV A Vietnamese Virtual Assistant Find Directions Calling & Messaging Find Services Scheduling Music
- 19. NLP Examples - Realtor Profiler Creating online resumes for real estate professionals Writes Bios Translates Languages Speech to Text Answers Questions Emails Information
- 20. Thank you and Questions Happy to Answer Any Questions You Have