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Hashigo: A Next-Generation Sketch Interactive System for Japanese Kanji

Hashigo: A Next-Generation Sketch Interactive System for Japanese Kanji. Innovative Applications of Artificial Intelligence 2009 – Pasadena, CA, USA. (40 years ago) In 1969…. [1963]. (20 years ago) In 1989…. (Present day) In 2009…. Our Solution – Computer aided language instruction using AI .

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Hashigo: A Next-Generation Sketch Interactive System for Japanese Kanji

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  1. Hashigo: A Next-Generation Sketch Interactive System for Japanese Kanji Innovative Applications of Artificial Intelligence 2009 – Pasadena, CA, USA

  2. (40 years ago) In 1969… [1963]

  3. (20 years ago) In 1989…

  4. (Present day) In 2009…

  5. Our Solution – Computer aided language instruction using AI

  6. About the Japanese Language

  7. About Japanese Instruction Reading Writing Culture Speaking Listening

  8. Comparing English to Kanji

  9. Difficulties of Learning Kanji Many strokes Many Symbols Similarities in Kanji Writing Variations

  10. About Stroke Order/Direction

  11. Analogous Example to English w w w a a a t t t e e e r r r

  12. Concrete Benefit for Order & Dir.

  13. Current Ways of Teaching Kanji Home Repetition Flashcard Memorization Workbook Self-Quizzes In-class Learning

  14. 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月 月

  15. Kanji Assessment (on paper) What was drawn How it was drawn

  16. Real-Time Kanji Assessment?(1-on-1 vs. 1-to-many) What was drawn How it was drawn

  17. Labeling the stroke numbers • not natural • trying to teach natural writing 2 3 1 4

  18. A “Dynamic” Workbook Solution is practical, robust, and cost-effective $ $ $ ★ ★ ★

  19. “Dynamic” Workbook Features • pen input • no drawing location constraints • size independence • visual assessment (what it looks like) • writing assessment (how it was drawn)

  20. Related Systems & Capabilities

  21. Related Systems & Capabilities

  22. Our Hashigo System digital kanji teacher paper

  23. Background on System’s Name Hashigo LAnguage for Describing Drawing, 梯子 Display, and Editing in LADDER Recognition

  24. Utilized Resources 力 Sezgin primitive shape recognizer LADDER sketching language

  25. Addressing the Features

  26. About LADDER components constraints aliases 十 古 口

  27. About LADDER components constraints aliases

  28. About LADDER 口 components constraints aliases 十 kanji048 horzLine line1 mouth

  29. Shape Description Convention line orientation point orientation shape interaction

  30. Shape Description Convention line orientation point orientation shape interaction center p1 p1 center p2 p2

  31. Shape Description Convention line orientation point orientation shape interaction

  32. Visual Recognition of Kanji 十 • Line • horzLine • Line • vertLine components

  33. Visual Recognition of Kanji • Horizontal • horzLine • Vertical • vertLine line orientation

  34. Visual Recognition of Kanji • LeftOf • horzLine.p1 • horzLine.p2 • Above • vertLine.p1 • vertLine.p2 point orientation

  35. Visual Recognition of Kanji • SameSize • vertLine • horzLine • SameX/Y • horzLine.center • vertLine.center shape interaction

  36. Technique Recognition of Kanji • Line line1 • horzLine • Line line2 • vertLine • Point start1 • vertLine.p1 • Point end1 • vertLine.p2 • Point start2 • horzLine.p1 • Point end2 • vertLine.p2 start2 line1 end1 start1 line2 end2 aliases

  37. Technique Recognition of Kanji start2 Stroke Order? Stroke Direction? line1 line2 start1 start2 line2 start1 end1 line1 end2

  38. Technique Recognition of Kanji start2 Stroke Order? Stroke Direction? line2 line1 start2 start1 line2 start1 end1 line1 end2

  39. Technique Recognition of Kanji start2 Stroke Order? Stroke Direction? line1 line2 end1 start2 line2 line1 start1 end1 end2

  40. The Hashigo CALI Application

  41. The Hashigo CALI Application

  42. The Hashigo CALI Application

  43. The Hashigo CALI Application

  44. Preliminary Studies • Sketch Recognition of Expert Writer’s Handwritten Kanji • Assessment Recognition of Novice Students’ Handwritten Kanji • Novice Students’ Kanji Learning Progress

  45. Preliminary Study #1 古吾冒朋明 唱晶品呂昌 早旭世胃旦 胆亘凹凸

  46. Preliminary Study #1 85% 93% 98% * OCCR: Online Chinese Character Recognizer

  47. Preliminary Study #2 古吾冒朋明 唱晶品呂昌 早旭世胃旦 胆亘凹凸

  48. Preliminary Study #2 100% 99%

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