Sanzang is a compact and simple cross-platform machine translation system. It is especially useful for translating from the CJK languages (Chinese, Japanese, and Korean), and it is very suitable for working with ancient and otherwise difficult texts. Unlike most other machine translation systems, Sanzang is small and approachable. Any user can develop his or her own translation rules, and these rules are simply stored in a text file and applied at runtime.
Oxygen XML Developer is an Oxygen distribution specially tuned for XML development, providing XML editing, XML conversion, XML Schema development, XSLT/ XQuery/ XPath execution and debugging, SOAP and WSDL testing, Native XML and relational database support, and XML instance generation.
Speedpad is a small and portable ncurses-powered tool to test, train, and increase typing speed on arbitrary text input. It is designed for intermediate-to-advanced level typists and assumes that you have already learned how to touch type. It does not use lessons, single words, or other synthetic stuff. It supports tab expansion, auto indentation, and syntax to train on code. It features a reference speed robot and supports CPS, CPM, WPM, PPM, and CPH/KPH metrics. It shows detailed statistics about speed and helps find and eliminate frequent typos. Stats are dumped to standard output in a machine-readable format after completion, and can be piped into gnuplot.
nyu is a combination of modern academic approaches to parsing formal grammars from PEGs and expression grammars that represents the new state of the art in parser generators. nyu grammars are written in a powerful language based on PEGs (parsing expression grammars) but with modifications to allow both the AST and the parser to be specified intuitively in a single grammar. nyu outputs parsers that take advantage of the chilon::parser meta-programming library for C++. The generated parsers are almost as concise and readable as the input grammars, yet perform as well as hand-written C code. nyu ASTs are built using tuples, variant types, and lists, and allow self referential parsers and AST nodes to be manipulated. Advanced features such as hashed containers and grammar inheritance are also possible and well tested. nyu is currently powerful enough to deal with complex grammars and bootstraps its own parser.
jSmaTeP assists in the use of Java for processing import and export data by configuring a data structure rather than by programming it. The structure of the import data is specified in an XML file. jSmaTeP then generates a value object representing exactly one row or record in the import file based on a given XML data configuration. This means that if the import or export format changes, only the XML data configuration needs to be changed to match it.
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.