- Bug: 4271049
- Due to the result of the recent user study, a word with a missing character needs to be promoted a bit.
so I changed the formula from:
- freq * 70 * (n - 2) / (n - 1)
to:
- freq * 90 * (10n - 12) / (10n - 2)
Change-Id: Ibff72cbdb0f2d7b91460a06a0fd39a9f5749aa46
Words that matched user input with skipped characters used to be demoted
in BinaryDictionary by a constant factor and not at all in those dictionaries
implemented in java code. To represent the fact that the impact of a skipped
character gets larger as the word is shorter, this change will implement a
demotion that gets larger as the typed word is shorter. The demotion rate
is (n - 2) / (n - 1) where n is the length of the typed word for n >= 2.
It implements it for both BinaryDictionary and java dictionaries.
Bug: 3340731
Change-Id: I3a18be80a9708981d56a950dc25fe08f018b5b89
When entering a word without accents the user expects the system to
add accents automatically if there is no other matching word. This
patch ensures the accented version is promoted accordingly and
autocorrection really takes place.
Issue: 3400015
Change-Id: I8cd3db5bf131ec6844b26abecc1ecbd1d6269df4
Stop considering accented characters as different from their base
character for proximity scoring.
Also give a huge boost (basically overriding frequency) to a word
fully matched with only differing accents.
Bug: 2550587
Change-Id: I2da7a71229fb3868d9e4a53703ccf8caeb6fcf10
Bug: 3374359
Bug: 3278422
"zbe" will be auto corrected to "be" by fixing s-line
"teh" will be auto corrected to "the" by promotion of full matched words
Change-Id: I314c632820e4e0b1501edeca60ada205d291451f
