COMPUTER BASED MAPPING THERAPY FOR AGRAMMATISM

描述(改编自《调查员摘要》)：之前 研究，包括来自两国之间合作的研究 首席调查员和联合首席调查员提出 句法-语义映射缺陷可能是无语法语言的基础 在不流利的布罗卡失语症患者中发现的生产障碍。一种形式的 被称为标测疗法的语法失调症的治疗方法已经出现 以主语或宾语等语法功能之间的联系为目标 和主题角色，如代理人或主题，以及重要的处理 已经有报道称收益已经出现。一项大规模的研究调查了 联合校长目前正在进行标测治疗的疗效 调查员的实验室。在此建议的Unisys-Moss协作 直接建立在这项工作的基础上，目标如下：1) 开发基于计算机的语法失调症标测治疗系统 针对这一过程中涉及的所有心理语言学操作 映射：提供有关的即时、明确的语言反馈 患者反应的准确性；并系统地操纵两者 动画和句子素材，以加强基于 语法结构而不是语言外策略；2)测试 该系统的有效性通过十个单一的案例研究 失语症患者，跟踪语言内的概括 (从一种语言结构到另一种语言结构的治疗效果)和额外- 语言泛化(‘将治疗效果扩大到 日益具有挑战性的背景)；3)分析内部模式 语言泛化，特别关注证据 泛化是基于短语结构还是基于短语结构 受过训练的人和未受过训练的人共享的谓词论元结构 结构；4)开发并逐渐融入其中 治疗系统的自动识别和识别能力 无语法演讲的解读。Unisys的口语 了解系统专家，其中首席调查员是 开发者，将作为这项研究的基础。

DESCRIPTION (Adapted from the Investigator's Abstract): Previous research, including studies emerging from collaboration between the principal investigator and co-principal investigator, has suggested that a syntax-semantics mapping deficit may underlie the agrammatic language production disorder found in non-fluent Broca's aphasics. A form of treatment for agrammatism known as mapping therapy has emerged which targets the link between grammatical functions such as subject or object and thematic roles such as Agent or Theme, and significant treatment gains have already been reported. A large-scale study investigating the efficacy of mapping therapy is currently underway in the co-principal investigator's laboratory. The Unisys-Moss collaboration proposed here builds directly upon this work, with the following objectives: 1) To develop a computer-based mapping therapy system for agrammatism which targets the full range of psycholinguistic operations involved in this mapping: provides immediate, linguistically explicit feedback about the accuracy of patients' responses; and systematically manipulates both animations and sentence materials to reinforce mapping based upon grammatical structure rather than extralinguistic strategies; 2) to test the efficacy of this system through single case studies of ten agrammatic patients, tracking both intra-linguistic generalization (treatment effects from one linguistic structure to another) and extra- linguistic generalization ('scaling up of treatment effects to increasingly challenging context); 3) to analyze patterns of intra- linguistic generalization with particular concern for evidence about whether generalization occurs on the basis of phrase structure or predicate argument structure shared by the trained and untrained structures; 4) to develop and incrementally incorporate into this therapy system the capability for the automatic recognition and interpretation of agrammatic speech. The Unisys spoken language understanding system PUNDIT, of which the principal investigator is a developer, will serve as the basis for this research.