1 / 154

Text Boundary Analysis

Text Boundary Analysis. Eric Mader Advisory Software Engineer IBM. Where do I break lines?. The rain in Spain stays mainly on the plain. Where do I break lines?. The rain in Spain stays mainly on the plain. 您有坦率和誠實的聲譽。. Where do I break lines?.

haley
Download Presentation

Text Boundary Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Text Boundary Analysis Eric Mader Advisory Software Engineer IBM

  2. Where do I break lines? The rain in Spain stays mainly on the plain.

  3. Where do I break lines? The rain in Spain stays mainly on the plain. 您有坦率和誠實的聲譽。

  4. Where do I break lines? The rain in Spain stays mainly on the plain. 您有坦率和誠實的聲譽。 ด่ๅแรงฃนึ๓อัตราลูกจ้างใหม่ให้๓๕

  5. Even in English, this can be hard You owe me $1,234.56... I think.

  6. Even in English, this can be hard You owe me $1,234.56... I think.

  7. Word wrapping vs word selection Word wrapping: Some characters’ behavior is context-dependent.

  8. Word wrapping vs word selection Word wrapping: Some characters’ behavior is context-dependent. Searching by words: Some characters’ behavior is context-dependent.

  9. Analysis by pairs second ltr dgt sp pun ltr dgt first sp X X X pun

  10. Analysis by pairs second ltr dgt sp pun ltr dgt first sp X X X pun

  11. Analysis by pairs second ltr dgt sp pun - ltr dgt first sp X X X X pun X - X

  12. Analysis by pairs second ltr dgt sp pun - ltr dgt first sp X X X X pun X - X

  13. Analysis by pairs second ltr dgt sp pun - nbs ltr dgt first sp X X X X pun X - X nbs

  14. Analysis by pairs second ltr dgt sp pun - nbs ltr dgt first sp X X X X pun X - X nbs

  15. Analysis by pairs second ltr dgt sp pun - nbs kji X ltr X dgt first sp X X X X X X pun X X - X nbs X X X kji X X

  16. Where pairs break down A break position can depend on more than two characters: You owe me $1,234.56... I think.

  17. Where pairs break down A break position can depend on more than two characters: You owe me $1,234.56... I think. 4.5

  18. Where pairs break down A break position can depend on more than two characters: You owe me $1,234.56... I think. 6..

  19. Where pairs break down Sentence boundaries require even more lookahead: He asked, “How tall are you?” I’m about 6 ft. tall. “Wow!”

  20. Where pairs break down Sentence boundaries require even more lookahead: He asked, “How tall are you?” I’m about 6 ft. tall. “Wow!”

  21. Where pairs break down Sentence boundaries require even more lookahead: He asked, “How tall are you?” I’m about 6 ft. tall. “Wow!”

  22. Where pairs break down Sentence boundaries require even more lookahead: He asked, “How tall are you?” I’m about 6 ft. tall. “Wow!”

  23. Where pairs break down Sentence boundaries require even more lookahead: He asked, “How tall are you?” I’m about 6 ft. tall. “Wow!”

  24. An example • If not otherwise mentioned, each character is a “word” unto itself. • A run of letters constitutes a “word” and is kept together. Certain punctuation marks may appear inside a word, but only if they have a letter on each side. • A run of digits constitutes a “number” and is kept together. Certain punctuation marks may appear inside a number, but only if they have a digit on each side. In addition, a number may have certain optional prefix and suffix characters. • If a “word” and a “number” appear in succession with nothing between them, they’re kept together.

  25. The state-machine approach $ start A 0 % . ’

  26. The state-machine approach $ start A 0 % . ’

  27. The state-machine approach $ start A 0 % . ’

  28. The state-machine approach $ start A 0 % . ’

  29. The state-machine approach $ start A 0 % . ’

  30. The state-machine approach $ start A 0 % . ’

  31. The state-machine approach $ start A 0 % . ’

  32. The state-machine approach $ start A 0 % . ’

  33. The state-machine approach $ start A 0 % . ’

  34. The state-machine approach $1,234.56... $ start A 0 % . ’

  35. The state-machine approach $1,234.56... $ start A 0 % . ’

  36. The state-machine approach $1,234.56... $ start A 0 % . ’

  37. The state-machine approach $1,234.56... $ start A 0 % . ’

  38. The state-machine approach $1,234.56... $ start A 0 % . ’

  39. The state-machine approach $1,234.56... $ start A 0 % . ’

  40. The state-machine approach $1,234.56... $ start A 0 % . ’

  41. The state-machine approach $1,234.56... $ start A 0 % . ’

  42. The state-machine approach $1,234.56... $ start A 0 % . ’

  43. The state-machine approach $1,234.56... $ start A 0 % . ’

  44. The state-machine approach $1,234.56... $ start A 0 % . ’

  45. The state-machine approach $1,234.56... $ start A 0 % . ’

  46. The state-machine approach $1,234.56... $ start A 0 % . ’

  47. Limitations 1992–1996

  48. Limitations 1992–1996

  49. Limitations –1996

  50. Limitations 1992–1996

More Related