自动语言分析在精神分裂症和精神病临床 高危综合征中的应用

语言反映个体的思维活动,因此语言障碍反映个体的思维障碍。自动语言分析是一种基于自然语言处理和机器学习的计算方法,主要用来处理和理解个体语言。常见分析指标有语义一致性和句法复杂性等,目前主要应用于识别精神分裂症和精神病临床高危综合征(CHR-P)以及预测CHR-P人群转化。研究表明,自动语言分析的优势在于敏感、准确和客观,且优于传统的量表评分。现就常见的自动语言分析指标及其应用进行综述。

Three Improvements on an Incremental Algorithm for Automatic Semantic Analysis

The formalism of attribute grammars is a powerful tool for specifying the static semantics of programming languages,and attribute evaluation provides an effective approach to automatic semantic analysis.The author previously proposed a time-optimal algorithm for incremental evaluation of ordered attribute grammars.In this paper,three improvements are suggested upon the algorithm so that it not only allows multiple subtree replacements,but also cancels three auxiliary tables required before,For experimental purposes,the improved algorithm has been implemented in Pascal on Motorola