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Uploaded byYoshiyuki Kakihara
英会話アプリ TerraTalk の裏側
The document discusses the Terratalk application, which uses a proprietary Qlear engine for realistic role-playing lessons and feedback on speech practice. It outlines features like API integration, various programming technologies involved, and mentions the need for improved English communication among a development team. Additionally, it provides links to resources and events related to the product.
英会話アプリ TerraTalk の裏側
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- 2. Twitter: 1664riffs GitHub:ykakihara ・ ・ @PyCon JP 2014 Publicity
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- 4. Realistic Role-Playing Lessons ProprietaryQLEAR Engine for giving feedback on users speech Practice as much as you want Any time you want TerraTalkEnglish Tutor As An App
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- 6. 1. Select arole 2. Pick a mission 3. Talk through 4. Get feedback
- 7. API Web I/F ELB ELB EC2 Instances NLP/ML EC2Instances ELB EC2 Instances ※ ・Queue
- 8. Heroku • >>>>> • Python3 • requirements.txt • Add-on
- 9. • iOS/Android SwiftJava • • • iOS + Android
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- 14. Finite State Machine AI AIAI • • • • ・
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- 16. : AI AI • • • AI • “Canyou speak more slowly please?” “I’m sorry, could you repeat what you’ve just said?”
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- 22. Let’s go tothe library. Let’s go to try berries.
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- 28. Shared Task: GrammaticalError Correction ACL 2013, 2014
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- 34. QA • QA • QCD • •PDCA D
- 35. API Web I/F ELB ELB EC2 Instances NLP/ML EC2Instances ELB EC2 Instances ※ ・Queue
- 36. • Django app •Python - 8,000 lines • models.py - 1,196 lines ・・ • templates (HTML) - 1,190 lines • JavaScript - 1,400 lines
- 37. Data Driven Front-End •Backbone.js • Joint JS • Twitter Bootstrap • ・
- 38. • Backbone.js • DirectedGraph •
- 40. • TerraTalk • • CMS+ •・ Python
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