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textproc/Lingua-EN-Inflect-1.89.3 (Score: 9.2782444E-5)
Convert singular words to their plural form
The exportable subroutines of Lingua::EN::Inflect provide plural inflections and "a"/"an" selection for English words. Plural forms of all nouns, most verbs, and some adjectives are provided. Where appropriate, "classical" variants (for example: "brother" -> "brethren", "dogma" -> "dogmata", etc.) are also provided. Seamus Venasse <svenasse@polaris.ca>
textproc/Lingua-EN-NameCase-1.19 (Score: 9.2782444E-5)
Perl module to fix the case of people's names
Forenames and surnames are often stored either wholly in UPPERCASE or wholly in lowercase. This module allows you to convert names into the correct case where possible. Although forenames and surnames are normally stored separately if they do appear in a single string, whitespace separated, NameCase and nc deal correctly with them.
textproc/diffutils-3.5 (Score: 9.2782444E-5)
The GNU diff utilities
The Free Software Foundation's "diff" utilities, including "diff", "diff3", "sdiff", and "cmp". These utilities exist in the FreeBSD base collection, but the GNU versions have added functionality that is sometimes useful. Note that this port will install these utilities with a `g' prefix, for example gdiff, gdiff3, ggcmp, but the texinfo documentation will refer to these utilities without the `g' prefix.
textproc/PDF-WebKit-1.0 (Score: 9.2782444E-5)
Use WebKit to Generate PDFs from HTML
PDF::WebKit uses wkhtmltopdf to convert HTML documents into PDFs. It is a port of the elegant PDFKit Ruby library. wkhtmltopdf generates beautiful PDFs by leveraging the rendering power of Qt's WebKit browser engine (used by both Apple Safari and Google Chrome browsers).
textproc/PPIx-Utilities-1.001000 (Score: 9.2782444E-5)
Extensions to PPI
This is a collection of functions for dealing with PPI objects, many of which originated in Perl::Critic. They are organized into modules by the kind of PPI class they relate to, by replacing the "PPI" at the front of the module name with "PPIx::Utilities", e.g. functionality related to PPI::Nodes is in PPIx::Utilities::Node.
textproc/Parse-BooleanLogic-0.09 (Score: 9.2782444E-5)
Parser of boolean expressions
Parse::BooleanLogic is a fast parser for boolean expressions. Originally written for Request Tracker to parse SQL like expressions, it can be used to parse other boolean logic sentences with OPERANDs joined using binary OPERATORs and grouped and nested using parentheses.
textproc/MARC-1.15 (Score: 9.2782444E-5)
Module for manipulating bibliographic records in the USMARC format
A Perl 5 module for reading in, manipulating, and outputting bibliographic records in the USMARC format. It handles conversions from MARC into ASCII (text), Library of Congress MARCMaker, HTML, and ISBD. Input from MARCMaker format is also supported. Individual records, fields, indicators, and subfields can be created, modified, and deleted. It can extract URLs from the 856 field into HTML.
textproc/Pod-Spell-1.20 (Score: 9.2782444E-5)
Formatter for spellchecking Pod
Pod::Spell is a Pod formatter whose output is good for spellchecking. Pod::Spell rather like Pod::Text, except that it doesn't put much effort into actual formatting, and it suppresses things that look like Perl symbols or Perl jargon (so that your spellchecking program won't complain about mystery words like "$thing" or "Foo::Bar" or "hashref").
Provide regexes for U.S. profanity
Instead of a dry technical overview, I am going to explain the structure of this module based on its history. I consult at a company that generates customer leads primarily by having websites that attract people (e.g. lowering loan values, selling cars, buying real estate, etc.). For some reason we get more than our fair share of profane leads. For this reason I was told to write a profanity checker. For the data that I was dealing with, the profanity was most often in the email address or in the first or last name, so I naively started filtering profanity with a set of regexps for that sort of data. Note that both names and email addresses are unlike what you are reading now: they are not whitespace-separated text, but are instead labels. Therefore full support for profanity checking should work in 2 entirely different contexts: labels (email, names) and text (what you are reading). Because open-source is driven by demand and I have no need for detecting profanity in text, only label is implemented at the moment. And you know the next sentence: "patches welcome" :)
textproc/Regex-PreSuf-1.17 (Score: 9.2782444E-5)
Regex::PreSuf - Given word lists, create regular expressions
The Regex::Presuf module can be used to build regular expressions out of 'word lists', lists of strings. The regular expression matches the same words as the word list. These regular expressions normally run few dozen percentages faster than a simple-minded '|'-concatenation of the words.