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A Table Look-Up Parser in Online ILTS Applications

机译：在线ILTS应用程序中的表查找解析器

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摘要

A simple table look-up parser (TLUP) has been developed for parsing and consequently diagnosing syntactic errors in semi-free formatted learners' input sentences of an intelligent language tutoring system (ILTS). The TLUP finds a parse tree for a correct version of an input sentence, diagnoses syntactic errors of the learner by tracing and regarding the deviations of the input from the identified correct sentences as errors of the learner. The TLUP can now display the parse tree as well as diagnosed errors at leaves' level. This simple super-rule based TLUP turns out to be a powerful pedagogic tool coaching L2 (second language) learners on the grammar structures in L2, saving the computing time and running space requirements, improving the parsing accuracy and allowing the real time online running environments to be applicable. The TLUP is effective as long as the input does not deviate too much from anticipated embedded patterns of model answers with committed errors remaining within the framework of anticipation for the level of the ITLS designed. We establish the validity of a TLUP by an (n, c) lot acceptance-sampling plan.
机译：已经开发了一种简单的表格查找解析器（TLUP），用于解析和诊断智能语言辅导系统（ILTS）的半自由格式学习者的输入句子中的语法错误。 TLUP为输入句子的正确版本找到一个分析树，通过跟踪并将输入与识别出的正确句子的偏差视为学习者的错误来诊断学习者的句法错误。 TLUP现在可以显示分析树以及叶子级别的诊断错误。这个简单的基于超级规则的TLUP成为了L2（第二语言）学习者指导L2语法结构的强大的教学工具，节省了计算时间和运行空间要求，提高了解析精度，并允许实时在线运行环境适用。 TLUP是有效的，只要输入与预期的模型答案的嵌入式模式相差不大，且承诺的错误仍保留在针对ITLS设计级别的预期框架内。我们通过（n，c）批验收计划来确定TLUP的有效性。

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