Jehan 26e1cebad1 LangModels: add support for Czech.
Encodings: Windows-1250, ISO-8859-2, IBM852 and Mac-CentralEurope.
Other encodings are known to have been used for Czech: Kamenicky,
KOI-8 CS2 and Cork. But these are uncommon enough that I decided not
to support them (especially since I can't find them supported in iconv
either, or at least not under an alias which I could recognize).
This web page, which contents was made under the Public Domain, is a
good reference for encodings which were used historically for Czech and
Slovak: http://luki.sdf-eu.org/txt/cs-encodings-faq.html
2016-09-21 03:33:50 +02:00
..
BuildLangModelLogs LangModels: add support for Czech. 2016-09-21 03:33:50 +02:00
charsets LangModels: add support for Czech. 2016-09-21 03:33:50 +02:00
langs LangModels: add support for Czech. 2016-09-21 03:33:50 +02:00
BuildLangModel.py script: work around a KeyError exception in Python Wikipedia lib. 2016-09-21 02:19:39 +02:00
debug.sh Add authors. 2011-07-13 20:16:23 +08:00
header-template.cpp BuildLangModel: add the licensing header to generated files. 2015-11-29 02:26:33 +01:00
README script: add a README file dedicated to adding new support. 2016-02-21 16:06:11 +01:00
release.sh Add authors. 2011-07-13 20:16:23 +08:00
win32.sh Add authors. 2011-07-13 20:16:23 +08:00

# Supporting new or Updating languages #

We generate statistical language data using Wikipedia as natural
language text resource.

Right now, we have automated scripts only to generate statistical data
for single-byte encodings. Multi-byte encodings usually requires more
in-depth knowledge of its specification.

## New single-byte encoding ##

Uchardet uses language data, and therefore rather than supporting a
charset, we in fact support a couple (language, charset). So for
instance if uchardet supports (French, ISO-8859-15), it should be able
to recognize French text encoded in ISO-8859-15, but may fail at
detecting ISO-8859-15 for non-supported languages.

This is why, though less flexible, it also makes uchardet much more
accurate than other detection system, as well as making it an efficient
language recognition system.
Since many single-byte charsets actually share the same layout (or very
similar ones), it is actually impossible to have an accurate single-byte
encoding detector for random text.

Therefore you need to describe the language and the codepoint layouts of
every charset you want to add support for.

I recommend having a look at langs/fr.py which is heavily commented as
a base of a new language description, and charsets/windows-1252.py as a
base for a new charset layout (note that charset layouts can be shared
between languages. If yours is already there, you have nothing to do).
The important name in the charset file are:

- `name`: an iconv-compatible name.
- `charmap`: fill it with CTR (control character), SYM (symbol), NUM
             (number), LET (letter), ILL (illegal codepoint).

## Tools ##

You must install Python 3 and the [`Wikipedia` Python
tool](https://github.com/goldsmith/Wikipedia).

## Run script ##

Let's say you added (or modified) support for French (`fr`), run:

> ./BuildLangModel.py fr --max-page=100 --max-depth=4

The options can be changed to any value. Bigger values mean the script
will process more data, so more processing time now, but uchardet may
possibly be more accurate in the end.

## Updating core code ##

If you were only updating data for a language model, you have nothing
else to do. Just build `uchardet` again and test it.

If you were creating new models though, you will have to add these in
src/nsSBCSGroupProber.cpp and src/nsSBCharSetProber.h, and increase the
value of `NUM_OF_SBCS_PROBERS` in src/nsSBCSGroupProber.h.
Finally add the new file in src/CMakeLists.txt.

I will be looking to make this step more straightforward in the future.