NAME

Lucy::Analysis::RegexTokenizer - Split a string into tokens.

SYNOPSIS

my $whitespace_tokenizer
    = Lucy::Analysis::RegexTokenizer->new( pattern => '\S+' );

# or...
my $word_char_tokenizer
    = Lucy::Analysis::RegexTokenizer->new( pattern => '\w+' );

# or...
my $apostrophising_tokenizer = Lucy::Analysis::RegexTokenizer->new;

# Then... once you have a tokenizer, put it into a PolyAnalyzer:
my $polyanalyzer = Lucy::Analysis::PolyAnalyzer->new(
    analyzers => [ $word_char_tokenizer, $normalizer, $stemmer ], );

DESCRIPTION

Generically, "tokenizing" is a process of breaking up a string into an array of "tokens". For instance, the string "three blind mice" might be tokenized into "three", "blind", "mice".

Lucy::Analysis::RegexTokenizer decides where it should break up the text based on a regular expression compiled from a supplied pattern matching one token. If our source string is...

"Eats, Shoots and Leaves."

... then a "whitespace tokenizer" with a pattern of "\\S+" produces...

Eats,
Shoots
and
Leaves.

... while a "word character tokenizer" with a pattern of "\\w+" produces...

Eats
Shoots
and
Leaves

... the difference being that the word character tokenizer skips over punctuation as well as whitespace when determining token boundaries.

CONSTRUCTORS

new( [labeled params] )

my $word_char_tokenizer = Lucy::Analysis::RegexTokenizer->new(
    pattern => '\w+',    # required
);

• pattern - A string specifying a Perl-syntax regular expression which should match one token. The default value is \w+(?:[\x{2019}']\w+)*, which matches "it's" as well as "it" and "O'Henry's" as well as "Henry".

INHERITANCE

Lucy::Analysis::RegexTokenizer isa Lucy::Analysis::Analyzer isa Clownfish::Obj.