| 摘要: |
| 提出一种可训练的快速汉语部分句法分析方法.此方法基于文中提出的扩充多层有限状态自 动机模型,其中引入错误驱动的机器学习方法使其正确率可以通过训练得到提高,初步结果表 明,该方法是行之有效的. |
| 关键词: 快速汉语部分句法分析 扩充多层有限状态自动机 错误修正规则 歧义消解 机器学习 |
| DOI： |
| 分类号: |
| 基金项目:基金项目:国家自然科学基金资助项目(69573020) |
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| A Trainable and Fast Partial Parsing Method for Chinese |
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ZHANG Yi-min,CHEN Yu-quan,LU Ru-zhan
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| Abstract: |
| In this paper, a trainable and fast partial parsing method for Chinese is presen ted. This method is based on the augmented cascaded finite state automaton propo sed in this paper, which uses error-driven machine learning to achieve high acc uracy. The preliminary result shows that the proposed method is promising. |
| Key words: fast partial parsing for Chinese augmented cascaded finite state automaton err or correction rule ambiguity resolution machine learning |
