CISE Research Instrumentation: Parallel Processing for Machine Translation, Skill Learning, and Software Testing

桌面并行处理计算机将用于实现FORR，这是一种通用的学习和问题解决体系结构，支持在相关问题类的广泛领域中学习行为。该体系结构将不同的问题解决启发式方法集成到一个公共框架中，并根据它们不一致的建议构建决策。基于黑板架构原理的并行机器翻译方法也将被实现。与传统的机器翻译系统的顺序架构不同，机器翻译的黑板方法提供了一个全局工作空间，其中多个知识来源，每个专家在翻译的特定方面，可以并行工作来解决难题。对于日语和英语，这些包括零代词、数字、确定性和语言风格。第三个项目涉及软件测试数据充分性标准的实验比较的替代架构。这种方法通过协调实现不同标准的独立处理器池来利用这种实验中固有的并行性。处理器一起工作，决定它们实现的哪个标准更适合暴露给定程序中的错误。

A desktop parallel processing computer will be used to implement FORR, which is a general learning and problem solving architecture that supports learning about behavior in a broad domain of related problem classes. The architecture integrates diverse problem solving heuristic into a common framework and constructs decisions from their inconsistent advice. A parallel approach to machine translation based on the principles of blackboard architecture will also be implemented . Unlike conventional, sequential architectures for machine translation systems, the blackboard approach to MT offers a global workspace in which multiple knowledge sources, each expert in a particular aspect of translation, can work in parallel to solve difficult problems. For Japanese and English these include zero pronominals, number, definiteness, and language style. A third project involves an alternative architecture for experimental comparison of software test data adequacy criteria. This approach harnesses the parallelism inherent in such experiments by coordinating a pool of independent processors that implement the distinct criteria. The processors work together to decide which of the criteria they implement is better at exposing errors in the given program.