Computer-Assisted Learning of Japanese as Second Language Based on a Dialog Text Database with Situated and Functional Indices as well as on a Diagnostic Parser

本研究旨在融合语法和交际教学法，开发一个面向日语学习者的智能辅助系统。该系统为学习者提供了一个文本数据库，该数据库具有指定歧视性使用表达的学习项目索引。该系统通过与电子词典链接的方式帮助学习者理解上下文，要求学习者通过从指定词汇中选择句子并在必要时进行屈折变化来填充样本文本中的空白。该系统对学生的作文进行诊断，如果错误句子与正确句子距离不远，则根据学习项目索引检索出相应的样本文本，并将其呈现出来，帮助学习者自主识别错误。如果这个词 关于我们 该算法能够成功地检测出过度修饰、修饰语缺失或误用、词形变化错误、修饰障碍、交叉修饰以及从情境角度看的不恰当。为了帮助作者索引样本文本，我们开发了一套规则，用于将样本句子的表面特征映射到学习项。仅使用语素模式的重复率为90%，准确率为84%;使用句法分析仅关注单个修饰阶段的重复率为96%，准确率为80%。通过考虑多个词素候选、2个或更多个修改阶段以及通过禁止部分匹配，可以避免这种精度的降低。实验结果表明，在词义消歧达到一定程度的前提下，概念词典的引入将大大提高精确度。少

The research aims at fusion of grammatical and communicative approaches developing an intelligent assistance system for the learners of Japanese as second language. The system provides the learners with a text database with indices of learning items designating discriminatory use of expressions. Assisting the learners in comprehension of the contexts by way of linking with electronic dictionaries, the system asks the learners to fill in the blanks made in the sample texts by composing sentences selecting from the specified vocabulary and inflecting if necessary. The system diagnoses the composition and, if the erroneous sentences are not far from feasible ones, the system retrieves corresponding sample texts by the learning item indices, presenting them to help the learners recognize their errors by themselves.We developed a diagnostic parsing algorithm making use of Lexcalized Tree Adjoining Grammar and 2 stacks which proceeds by unification and linear back tracking. Provided the word … More list and the semantic modification relationship are shared with the learners, the algorithm successfully could detect excessive modifications, lacking of modifiers missing or missuse of collectives, erroneous inflections, obstacles against modification, crossed modification and inappropriateness viewed from the situations. In order to help the authors index the sample text, we developed a set of rules for mapping from the surface characteristics of the sample sentences to learning items. Use of only the morpheme patterns resulted in 90% of reproducibility and 84% of precision.Use of syntactic analysis focusing only single stages of modification resulted in 96% of reproducibility and 80% of precision. This lowering of precision may have been avoided by taking into account multiple morpheme candidates, 2 or more stages of modification and by prohibiting partial matching. It was confirmed that introduction of conceptual dictionary would greatly improve precision provided certain level of word sense disambiguation were achieved. Less