Example-based machine translation using DP-matching between work sequences

Example-based machine translation using DP-matching between work sequences
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在工作序列之间使用 DP 匹配的基于示例的机器翻译

DOI:
10.3115/1118037.1118038
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发表时间:
2001
期刊:
AI Mag.
影响因子:
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通讯作者:
E. Sumita
E. Sumita
中科院分区:
--
文献类型:
--
作者:
E. Sumita

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在基于实例的机器翻译范式下,我们提出了一种新的方法。首先,该方法通过对输入句子和例句进行DP匹配,同时测量单词之间的语义距离来检索最相似的例句。其次,该方法通过使用双语词典来调整输入与最相似示例之间的差距。我们给出了计算实验的结果。
We propose a new approach under the example-based machine translation paradigm. First, the proposed approach retrieves the most similar example by carrying out DP-matching of the input sentence and example sentences while measuring the semantic distance of the words. Second, the approach adjusts the gap between the input and the most similar example by using a bilingual dictionary. We show the results of a computational experiment.