Just realizing that these 2 language can also be encoded with these
charsets (even though ISO-8859-13 would appear to be more common…
maybe?). Anyway now the models are updated and can recognize texts
using these encoding for these languages.
Added some test files as well, which work great.
I actually added also couples with ISO-8859-9, ISO-8859-15 and
Windows-1252. Nevertheless there are no differences on the main
characters related to Portuguese so differences will hardly be made
and detection will usually return ISO-8859-1 only.
I did this to improve the model after a user reported a Greek sutitle
badly detected (see commit e0eec3b).
It didn't help, but well... since I updated it with much more data from
Wikipedia. Let's just commit it!
I was planning on adding VISCII support as well, but Python encode()
method does not have any support for it apparently, so I cannot generate
the proper statistics data with the current version of the string.
ISO-8859-11 is basically exactly identical to TIS-620, with the added
non-breaking space character.
Basically our detection will always return TIS-620 except for
exceptional cases when a text has a non-breaking space.
… for langs for which Python lower() algorithm fails.
In particular Turkish dotted/dotless 'i' does not follow same rules
as common western languages.
Lowercase for 'I' is indeed not 'i' but 'ı'.
Uppercase for 'i' is indeed not 'I' but 'İ'.
I had the case with the Turkish dotted 'İ' that lowercasing it with
Python algorithm returned me a decomposed character that it was not able
to recompose. Therefore ord() raised a TypeError because the string
length was 2.
I.e. horizontally or "breadth first" rather than vertical tree traversal.
This allows to make sure all the start pages in particular are searched,
when using max_page option.
With the new case_mapping lang property, we can consider upper and lower
case versions of the same character as one character.
This makes sense in some language, and would allow to enter some rarer
characters (but still in the main alphabet) inside the frequent
character list. For instance 'œ' and 'Œ' in French.
