The zen Platform is a Java development environment for J2SE/J2EE. It eases and accelerates the Java application development by visual methods (RAD). Complete applications can be modelled in an intuitive fashion without the need for technical expertise. The complexity of Java and J2EE programming is tremendously hidden - reducing the learning curve for Java novices. Java experts are by no means restricted - they may apply their knowledge without limitations. Application flexibility is a core feature of the platform, which is delivered as an Eclipse plugin.
tinyglot.pl is a useful script for maintaining localization of .strings files in Cocoa applications. It compares two files (the new unlocalized one and the old localized one) and merges their strings into a new file. New strings that have no translation are put at the end of the file so that it's easy to complete them. This script reads and generates both plain .strings files (UTF-16 encoding) and XML plist files (UTF-8) encoding.
The Okapi project’s main purpose is to architect a set of building blocks for the creation of larger open source localization and translation tools. But many Okapi components are generic enough to be of interest to the text mining, natural language processing, and text retrieval communities. Okapi’s many text filters (HTML, Properties, XML (ITS XPath-based rules), OpenXML, ODF, Regex etc.) provide a straightforward way to access the text of multiple document formats. Its document events and pipeline can be made to integrate with other frameworks such as UIMA, LingPipe, OpenPipeline, OpenNLP, GATE, and Lucene. The advantage of Okapi’s text filters is that not only is text extracted, but all non-textual formatting is preserved. It is possible to decompose a document into events, process them via the pipeline, and then rebuild the input document without loss. Structural information can be added to Okapi document events so that tables, lists, links, titles etc. are grouped together and treated as a unit. This is useful when context based on a “universal” document structure is needed. The Okapi event model supports user configurable annotations, similar to UIMA, but simpler and more restricted in scope. User can annotate spans of text or add new resources such as translation memory matches, terminology, token types, or part of speech information.