NAME Lingua::RU::OpenCorpora::Tokenizer - tokenizer for OpenCorpora project SYNOPSIS my $tokens = $tokenizer->tokens($text); my $bounds = $tokenizer->tokens_bounds($text); DESCRIPTION This module tokenizes input texts in Russian language. Note that it uses probabilistic algorithm rather than trying to parse the language. It also uses some pre-calculated data freely provided by OpenCorpora project. NOTE: OpenCorpora periodically provides updates for this data. Checkout "opencorpora-update-tokenizer" script that comes with this distribution. The algorithm is this: 1. Split text into chars. 2. Iterate over the chars from left to right. 3. For every char get its context (see CONTEXT). 4. Find probability for the context in vectors file (see "VECTORS FILE") or use the default value - 0.5. CONTEXT In terms of this module context is just a binary vector, currently consisting of 17 elements. It's calculated for every character of the text, then it gets converted to decimal representation and then it's checked against "VECTORS FILE". Every element is a result of a simple function like "_is_latin", "_is_digit", "_is_bracket" and etc. applied to the input character and few characters around it. VECTORS FILE Contains a list of vectors with probability values showing the chance that given vector is a token boundary. Built by OpenCorpora project from semi-automatically annotated corpus. HYPHENS FILE Contains a list of hyphenated Russian words. Used in vectors calculations. Built by OpenCorpora project from semi-automatically annotated corpus. EXCEPTIONS FILE Contains a list of char sequences that are not subjects to tokenizing. Built by OpenCorpora project from semi-automatically annotated corpus. PREFIXES FILE Contains a list of common prefixes for decompound words. Built by OpenCorpora project from semi-automatically annotated corpus. METHODS new Constructs and initializes new tokenizer object. tokens($text [, $options]) Takes text as input and splits it into tokens. Returns a reference to an array of tokens. You can also pass a hashref with options as a second argument. Current options: threshold Minimal probability value for tokens boundary. Boundaries with lower probability are excluded from consideration. Default value is 1, which makes tokenizer do splitting only when it's confident. tokens_bounds($text) Takes text as input and finds bounds of tokens in the text. It doesn't split the text into tokens, it just marks where tokens could be. Returns an arrayref of arrayrefs. Inner arrayref consists of two elements: boundary position in text and probability. SEE ALSO Lingua::RU::OpenCorpora::Tokenizer::Updater AUTHOR OpenCorpora.org team LICENSE This program is free software, you can redistribute it under the same terms as Perl itself.