TXR is a new data munging language. TXR's special pattern language provides template-based matching of entire documents or large sections of documents. It also contains a language for functional and imperative programming. It is written in C and takes the form of a utility that is portable to Unix-like platforms and Windows.
aime is a simple, C-like programming language and an interpreter, both designed to be embeddable in applications. The language is straightforward, trivial, and direct. Its syntax is simpler than that of C, while still providing for full object management, higher order functions, and references. The interpreter is secure and expressive, allowing comprehensive control over program execution and providing powerful methods of application integration.
Ch is an embeddable C/C++ interpreter for cross-platform scripting, shell programming, 2D/3D plotting, numerical computing, and embedded scripting. It is the simplest solution to numerical computing and visualization in the domain of C/C++. It supports the ISO 1990 C Standard (C90), major features in C99 (complex numbers, variable length arrays or VLAs, type generic functions, long long data type, etc), classes in C++, and extensions to the C language like nested functions, string types, etc. It can be embedded in other applications and hardware and used as a scripting language. C/C++ code is interpreted directly with no compilation to intermediate code. It supports Linux, Windows, MacOS X, Solaris, HP-UX, and FreeBSD.
PED is a dialogue management system that uses a probabilistic nested belief model to choose dialogue strategies. The dialogue system designer need only supply a set of plan rules to PED as a dialogue grammar with preconditions. Using this grammar, PED constructs game trees (like the one below) to represent the outcomes of the dialogue, so that a dialogue strategy can be chosen for the current turn in the dialogue. PED automatically maintains a belief model by a belief revision process that uses the observed acts in the dialogue. The game tree is evaluated in the context of this belief model. PED is efficient because it uses probabilistic estimates of belief rather than a plain logical belief model.
Rhope is a dynamically typed dataflow programming language that also borrows some ideas from other paradigms. Unlike mainstream programming languages, statements are not necessarily executed in the order they are written, but instead based on their dependencies. Statements that do not share dependencies run in parallel. Most operations have value semantics (i.e. modifying an object makes a copy rather than changing the original) making this parallelism safe. For managing global state, Rhope has a transaction mechanism.