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Analyzing long and complicated sentences has always been a priority and challenge in English learning. In order to conduct the parse of these sentences for Chinese English as Second Language (ESL) learners, we design the English Sentence Pattern Structure (ESPS) based on the Sentence Diagramming theory. Then, we automatically construct the English Sentence Pattern Structure Treebank (ESPST) through the method of rule conversion based on constituency structure and evaluate the conversion results. In addition, we set up two comparative experiments, using trained parser and large language models (LLMs). The results prove that the rule-based conversion approach is effective.

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Automatic Construction of the English Sentence Pattern Structure Treebank for Chinese ESL Learners

  • 会议论文

  • 发表日期：

    2025年

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  • Lin Zhu,
  • Meng Xu,
  • Wenya Guo,
  • Jingsi Yu,
  • Liner Yang,
  • Zehuang Cao,
  • Yuan Huang,
  • Erhong Yang

摘要

Analyzing long and complicated sentences has always been a priority and challenge in English learning. In order to conduct the parse of these sentences for Chinese English as Second Language (ESL) learners, we design the English Sentence Pattern Structure (ESPS) based on the Sentence Diagramming theory. Then, we automatically construct the English Sentence Pattern Structure Treebank (ESPST) through the method of rule conversion based on constituency structure and evaluate the conversion results. In addition, we set up two comparative experiments, using trained parser and large language models (LLMs). The results prove that the rule-based conversion approach is effective.