Without personalization:
Total words: 1134774, Success Num: 899230, Success Percentage: 79.243%
Bad Failures, with auto-correction (typed word == expected word, output word != expected word): 1871, Bad Failure Percentage: 0.165%
Failures, with auto-correction (F-C): 29084, F-C Percentage: 2.563%
Max Keystrokes: 6072959, Min Keystrokes: 4436090, Keystroke Saving Percentage:26.953%
Before:
Total words: 1134646, Success Num: 925194, Success Percentage: 81.540%
Bad Failures, with auto-correction (typed word == expected word, output word != expected word): 1316, Bad Failure Percentage: 0.116%
Failures, with auto-correction (F-C): 28288, F-C Percentage: 2.493%
Max Keystrokes: 6072831, Min Keystrokes: 3946188, Keystroke Saving Percentage:35.019%
After
Total words: 1134659, Success Num: 944746, Success Percentage: 83.263%
Bad Failures, with auto-correction (typed word == expected word, output word != expected word): 1258, Bad Failure Percentage: 0.111%
Failures, with auto-correction (F-C): 28016, F-C Percentage: 2.469%
Max Keystrokes: 6072844, Min Keystrokes: 3387333, Keystroke Saving Percentage:44.222%
Change-Id: I3af42ec37a11847c0429c28616e726f6a339247f
Previously, when both legitimate 0-frequency words (such as
distracters) and offensive words were encoded in the same
way, distracters would never show up when the user blocked
offensive words (the default setting, as well as the setting
for regression tests).
When b/11031090 was fixed and a separate encoding was used
for offensive words, 0-frequency words would no longer be
blocked when they were an "exact match" (where case
mismatches and accent mismatches would be considered an
"exact match"). The exact match boosting functionality meant
that, for example, when the user typed "mt" they would be
suggested the word "Mt", although they most probably meant
to type "my".
For this reason, we introduced this change, which does the
following:
* Defines the "perfect match" as a really exact match, with
no room for case or accent mismatches
* When the target word has probability zero (as "Mt" does,
because it is a distracter), ONLY boost its score if it is a
perfect match.
By doing this, when the user types "mt", the word "Mt" will
NOT be boosted, and they will get "my". However, if the user
makes an explicit effort to type "Mt", we do boost the word
"Mt" so that the user's input is not autocorrected to "My".
Bug: 11031090
Change-Id: I92ee1b4e742645d52e2f7f8c4390920481e8fff0
If a word is once deleted, the word never gets into the
personalized dictionaries due to this bug.
Change-Id: Ife4e3fe1ba0615b4135e6291d2151b0db7d3f940
No behaviour changes.
Unified the overloaded FusionDictionary::add method to always take an
isPossiblyOffensive argument.
Bug: 11031090
Change-Id: I5741a023ca1ce842d2cf10d4f6c926b0efabaa78
Without personalization:
Total words: 1079345, Success Num: 819749, Success Percentage: 75.949%
Bad Failures, with auto-correction (typed word == expected word, output word != expected word): 1754, Bad Failure Percentage: 0.163%
Failures, with auto-correction (F-C): 28463, F-C Percentage: 2.637%
Max Keystrokes: 6074285, Min Keystrokes: 4649326, Keystroke Saving Percentage:23.459%
With current probability computing logic:
Total words: 1079382, Success Num: 838329, Success Percentage: 77.667%
Bad Failures, with auto-correction (typed word == expected word, output word != expected word): 1332, Bad Failure Percentage: 0.123%
Failures, with auto-correction (F-C): 28558, F-C Percentage: 2.646%
Max Keystrokes: 6074503, Min Keystrokes: 4474102, Keystroke Saving Percentage:26.346%
Remove isof files.
With new probability computing logic:
Total words: 1079356, Success Num: 844954, Success Percentage: 78.283%
Bad Failures, with auto-correction (typed word == expected word, output word != expected word): 1306, Bad Failure Percentage: 0.121%
Failures, with auto-correction (F-C): 27214, F-C Percentage: 2.521%
Max Keystrokes: 6074477, Min Keystrokes: 4243021, Keystroke Saving Percentage:30.150%
Remove isof files.
Bug: 16547409
Change-Id: I3d2a49c7aaa2c0f6835c52ef72d22466ee225789
Keisuke Kuroyanagi
Adrian Velicu
Jean Chalard