| 面向EBMT的汉语单句谓语中心词识别研究 |
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| 引用本文： | 穗志方,俞士汶.面向EBMT的汉语单句谓语中心词识别研究[J].中文信息学报,1998,12(4):40-47. |
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| 作者姓名： | 穗志方 俞士汶 |
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| 作者单位： | 北京大学计算语言学研究所 100871 |
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| 摘 要： | 在基于实例的汉英机器翻译( EBMT) 系统中,为计算语句相似度,需要对句子进行适当的分析。本文首先提出了一种折中的汉语句子分析方法———骨架依存分析法,通过确定谓语中心词来把握句子的整体结构,然后,提出了一种根据汉英例句集中英语例句的谓语中心词来识别相应的汉语例句的谓语中心词的策略。实验结果是令人满意的。
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| 关 键 词： | 基于实例的机器翻译 语句相似度 谓语中心词 知识获取 语义匹配 |
The Research on Recognizing the Predicate Head of a Chinese Simple Sentence in EBMT |
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| Sui Zhifang Yu Shiwen Computational Linguistics Institute of Peking University Beijing,P.R.China.The Research on Recognizing the Predicate Head of a Chinese Simple Sentence in EBMT[J].Journal of Chinese Information Processing,1998,12(4):40-47. |
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| Authors: | Sui Zhifang Yu Shiwen Computational Linguistics Institute of Peking University Beijing PRChina |
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| Affiliation: | Computational Linguistics Institute of Peking University Beijing ,P. R. China ,100871 |
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| Abstract: | An appropriate parsing to the sentences is necessary for sentence similarity calculation in EBMT. This paper put s forward a parsing approach —skeleton analysis ,which masters the main st ructure of the sentence through the determination of it s predicate head. Then discusses a st rategy to recognize the predicate head of the Chinese sentence according to the predicate head of the corresponding English sentence. The experimental result is satisfactory. |
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| Keywords: | example-based machine translation sentence similarity predicate head knowledge acquisition sense match |
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