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

一台台式并行处理计算机将用于 实施FORR，这是一种通用学习和解决问题的方法 架构，支持学习行为在广泛的 相关问题类的域。 该架构集成了 不同的问题解决启发到一个共同的框架， 根据他们不一致的建议做出决定。 并行 机器翻译的基本原理 还将实施黑板架构。 不像 用于机器翻译的传统顺序架构 系统，黑板方法MT提供了一个全球工作空间， 多个知识源，每个专家在一个特定的 翻译方面，能并行解决疑难问题 问题 对于日语和英语，这些包括零代名词， 数量、确定性和语言风格。 第三个项目涉及 一种用于软件实验比较的替代体系结构 测试数据充分性标准。 这种方法利用了 在这种实验中固有的并行性，通过协调一个池， 独立的处理器实现不同的标准。 的 处理器一起工作，以决定哪些标准， implement更善于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.