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bib2html is a script which permits to generate a set of HTML pages from a BibTeX database.

Mini-XML is a small XML parsing library that you can use to read XML and XML-like data files in your application without requiring large non-standard libraries.

Apertium is an open-source machine translation platform, initially aimed at related-language pairs but recently expanded to deal with more divergent language pairs (such as English-Catalan). The platform provides: 1. a language-independent machine translation engine 2. tools to manage the linguistic data necessary to build a machine translation system for a given language pair and 3. linguistic data for a growing number of language pairs

Pod::DocBook is a module for translating Pod-formatted documents to DocBook 4.2 SGML. It is primarily a back end for pod2docbook, but, as a Pod::Parser subclass, it can be used on its own.

Library to compare files and strings, used in Kompare and KDevelop.

XML::Twig - Tree interface to XML documents allowing chunk by chunk processing of huge documents. From the website: XML-Twig is a Perl module that subclasses XML-Parser to allow easy processing of XML documents of all sizes. A flush method allows dumping of a completely processed sub-document to be printed, thus allowing processing of documents of any size.

Real People TTS for StarDict.

StarDict 是一个用 Gtk 2 写成跨平台的国际化词典。它包含了如“Glob 样式的模式 匹配”、“侦测选中的词”、“模糊查询”等的强大的功能。

Mako is a template library written in Python. It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics.

NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, and an active discussion forum. Thanks to a hands-on guide introducing programming fundamentals alongside topics in computational linguistics, NLTK is suitable for linguists, engineers, students, educators, researchers, and industry users alike. NLTK is available for Windows, Mac OS X, and Linux. Best of all, NLTK is a free, open source, community-driven project. NLTK has been called "a wonderful tool for teaching, and working in, computational linguistics using Python" and "an amazing library to play with natural language".