Free text software for linux

OO Text To Speech is a text-to speech macro for OpenOffice.org.

Its a syllable analyzer: using a reading motor, it reads a document and translates it into a vocal message.

About OpenOffice

OpenOffice.org is a multiplatform and multilingual office suite and an open-source project. Compatible with all other major office suites, the product is free to download, use, and distribute.

It is an international office suite that will run on all major platforms and provide access to all functionality and data through open-component based APIs and an XML- based file format.

XML::DOM::Text is a piece of XML text in XML::DOM.

XML::DOM::Text extends XML::DOM::CharacterData, which extends XML::DOM::Node.

The Text interface represents the textual content (termed character data in XML) of an Element or Attr. If there is no markup inside an elements content, the text is contained in a single object implementing the Text interface that is the only child of the element. If there is markup, it is parsed into a list of elements and Text nodes that form the list of children of the element.

When a document is first made available via the DOM, there is only one Text node for each block of text. Users may create adjacent Text nodes that represent the contents of a given element without any intervening markup, but should be aware that there is no way to represent the separations between these nodes in XML or HTML, so they will not (in general) persist between DOM editing sessions. The normalize() method on Element merges any such adjacent Text objects into a single node for each block of text; this is recommended before employing operations that depend on a particular document structure, such as navigation with XPointers.

METHODS

splitText (offset)

Breaks this Text node into two Text nodes at the specified offset, keeping both in the tree as siblings. This node then only contains all the content up to the offset point. And a new Text node, which is inserted as the next sibling of this node, contains all the content at and after the offset point.

Parameters: offset The offset at which to split, starting from 0.

Return Value: The new Text node.

DOMExceptions:

INDEX_SIZE_ERR

Raised if the specified offset is negative or greater than the number of characters in data.

NO_MODIFICATION_ALLOWED_ERR

Raised if this node is readonly.

Text::EtText::EtText2HTML is a Perl module to convert from the simple EtText editable-text format into HTML.

SYNOPSIS

my $t = new Text::EtText::EtText2HTML;
print $t->text2html ($text);
or
my $t = new Text::EtText::EtText2HTML;
print $t->text2html (); # from STDIN

ettext2html will convert a text file in the EtText editable-text format into HTML.

Apache::Pod::Text is a mod_perl handler to convert Pod to plain text.

SYNOPSIS

A simple mod_perl handler to easily convert Pod to Text.

CONFIGURATION

See Apache::Pod::HTML for configuration details.

Tartan is a text parsing engine targeted at wiki text. The syntax specification is defined in YAML in the form of regex-based rules.

It supports layering and multiple output types. Rules for Markdown to HTML are included, with optional layered extensions for tables. Tartan text parser is implemented in Ruby, but looking to have implementations in other languages.

Text::Convert::ToImage is a Perl module.

SYNOPSIS

use Text::Convert::ToImage;
my $tti = Text::Convert::ToImage->new();
my $length = length($email);
if ($length > 150) {
$email = "Your text length of $length is too large:";
}
my $config = {
TEXT => $email ? $email : "y@hn.org",
POINTSIZE => $point_size ? $point_size : 14,
LEVEL => $level ? $level : 0,
FONT => $font,
XSKEW => $xskew,
YSKEW => $yskew,

};
$tti->calculate($config);
print "Content-type: image/pngnn";
binmode STDOUT;
$tti->Write(png:-);

This was knocked up a long time ago and someone asked me if the source was available so I decided to put it on CPAN. There is very little documentation with it.

There are also very few tests. If more than me and the person who asked for the module use it then I will write some tests for it.

At the moment I have been using it top obfuscate emails and not much else. A demo can be found at http://www.hjackson.org/cgi-bin/tools/email.pl

There are some undocumented features to this module and they are this way because I have not tested to see if they work yet.

Text::Graph is a Perl extension for generating text-based graphs.

SYNOPSIS

use Text::Graph;
blah blah blah

Some data is easier to analyze graphically than in its raw form. In many cases, however, a full-blown multicolor graphic representation is overkill. In these cases, a simple graph can provide an appropriate graphical representation.

The Text::Graph module provides a simple text-based graph of a dataset. Although this approach is not appropriate for all data analysis, it can be useful in some cases.

Text::NSP::Measures::2D is a Perl module that provides basic framework for building measure of association for bigrams.

SYNOPSIS

Basic Usage
use Text::NSP::Measures::2D::MI::ll;

my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;

$ll_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);

if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage()."n"";
}
else
{
print getStatisticName."value for bigram is ".$ll_value."n"";
}

This module is to be used as a foundation for building 2-dimensional measures of association. The methods in this module retrieve observed bigram frequency counts, marginal totals, and also compute expected values. They also provide error checks for these counts.