Plain text is, well, plain. It does not provide any standard possibility to specify its charset. If the text document uses a Unicode Transformation Format like UTF-8 or UTF-32LE, the used charset may be indicated by a Byte Order Mark ("BOM"). However, using a BOM with UTF-8 is officially not a recommended practice. Even using byte order marks won't help if dealing with documents encoded using other character sets like "Windows-1252", "ISO-8859-1" or "KOI8-R".

There are dozens of charset converters available that allow to transform a text from one character encoding to another with ease. If the document's charset is already known, using one of these tools is sufficient.

As of version 0.02 Lingua::Lid is thread-safe if compiled with a recent version of lid (3.0.0 or higher).

This allows you to safely call Lingua::Lid's language and charset identification functions, like lid_ffile and lid_fstr, simultaneously within your application by making use of Perl's ''threads'' module. As thread support in Perl is a compile time option, you will need a thread-enabled version of Perl as shipped by most modern Linux distributions like Debian Lenny or Ubuntu Lucid - or ActiveState's version for Windows.

Transliteration is the conversion of letters from one alphabet to another one, like from Greek to Latin. But it may as well be just a simplification within one alphabet, for example omitting any diacritics found in that alphabet or substituting special characters with a sequence of characters without diacritics.

Lingua::Lid is a Perl extension that implements an interface to the lid C/C++ library. As such, it makes lid's language and character encoding identification features available to any Perl application or module.

The following code snippets show a few usage examples, introducing both basic usage and Lingua::Lid's capabilities:

lidc is a command line application for Unix-like operating systems (Linux, Solaris, FreeBSD) that allows you to identify the language and character encoding of an input. Based on the lid library, it provides accurate identification results and high performance. However, lidc implements a significant amount of new features on top of those provided by lid, namely the parsing of common input formats. These include: