This module provides facilities for fast searching on strings with very many search keys. The basic object behaves somewhat like a perl hash, except that you can retrieve based on a superstring of any keys stored. Simply scan a string as shown above ...

Each instance of "PFT::Text::Symbol" represents a symbol obtained by parsing the text of an entry "PFT::Content::Entry": they are detected as "<a>" and "<img>" tags in HTML. Symbols are collected into a a "PFT::Text" object. An example will make this...

Text::CSV is a thin wrapper for Text::CSV_XS-compatible modules now. All the backend modules provide facilities for the composition and decomposition of comma-separated values. Text::CSV uses Text::CSV_XS by default, and when Text::CSV_XS is not avai...

Despite the notion of a universal canvas, rich authoring of content through Web browsers is still rather poor and laborious to do. There have been attempts to create WYSIWYG(What You See Is What You Get) editor widgets to rectify this, however none o...

"Text::Buffer" provides a mean of handling a text buffer with an oo-style interface. It provides basic navigation/editing functionality with an very easy interface. Generally a Text::Buffer object is created by using new. Without an options this will...

Text::CSV_XS provides facilities for the composition and decomposition of comma-separated values. An instance of the Text::CSV_XS class will combine fields into a "CSV" string and parse a "CSV" string into fields. The module accepts either strings or...

Text::CSV_PP is a pure-perl module that provides facilities for the composition and decomposition of comma-separated values. This is (almost) compatible with much faster Text::CSV_XS, and mainly used as its fallback module when you use Text::CSV modu...

"Text::Document" allows to perform simple Information-Retrieval-oriented statistics on pure-text documents. Text can be added in chunks, so that the document may be incrementally built, for instance by a class like "HTML::Parser". A simple algorithm ...

MetaText is a text processing and markup meta-language which can be used for processing "template" files. This module is a Perl 5 extension implementing a MetaText object class which processes text files, interpreting and acting on the embedded MetaT...

Text::Tokenizer is *very fast* lexical analyzer, that can be used to process input text from file or buffer to basic *tokens*: * NORMAL TEXT * DOUBLE QUOTED "TEXT" * SINGLE QUOTED 'TEXT' * INVERSE QUOTED 'TEXT' * SINGLE-INVERSE QUOTED `TEXT' * WHITES...

This module is a drop in, pure perl, substitute for Text::Fuzzy. All documentation is taken directly from Text::Fuzzy. This module calculates the Levenshtein edit distance between words, and does edit-distance-based searching of arrays and files to f...

This module allows you to summarize bodies of text into a scored hash of *sentences*, *phrase-fragments*, and *individual words* from the provided text. These scores reflect the weight (or precedence) of the relative text-fragments, i.e. how well the...

The plan is to change the Text::SmartLinks module and write a new smartlinks.pl script so it will be usable in any Perl 5 or Perl 6 project to generate the HTML pages combining the POD content from the .pod and .pm files and test scripts. In addition...

This module provides a Perl front end for the geocode.xyz, geocoder.ca API. It allows the programmer to extract locations containing street addresses, street intersections and city names along with their geocoded latitude,longitude from bodies of tex...

Text::SpamAssassin is a wrapper around Mail::SpamAssassin that makes it easy to check simple blocks of text or HTML for spam content. Its main purpose is to help integrate SpamAssassin into non-mail contexts like blog comments. It works by creating a...

Read and write text files in a particular format FORMAT For the purposes of this module a CSV file looks like this: artist,name,year "Elvis Costello","Alison","1977" "Riuichi Sakamoto","23rd Psalm","1983" "Duane Eddy","Forty Miles of Bad Road","1959"...

Given an input file, scan its footnotes and rearrange them. This means that such document: #title test Hello [1] There [1] Test [1] [1] first Hello hello [1] second [1] third will become #title test Hello [1] There [2] Test [3] Hello hello [1] first ...