ANN and case-based reasoning methods for English to Arabic machine translation

Marwan Akeel; R.B. Mishra

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ANN and case-based reasoning methods for English to Arabic machine translation

机译：基于人工神经网络和案例推理的英语到阿拉伯语机器翻译

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摘要

The basic assumption of using case base reasoning in machine translation is that similar sentences in source language have similar translation in the target language. In our approach, English input sentences with similar syntactical features have similar syntactical features at its Arabic output translation. The syntactical features of the new English input sentence is matched with old cases from the stored case base using artificial neural network method. We use feed forward artificial neural network for the selection of the Arabic syntactical features when the input is an English sentence structure and attributes. The retrieved case is adapted using rules.

机译：在机器翻译中使用基于案例的推理的基本假设是，源语言中的相似句子在目标语言中具有相似的翻译。在我们的方法中，具有相似句法特征的英语输入句子在其阿拉伯语输出翻译中具有相似的句法特征。使用人工神经网络方法，将新的英语输入句子的句法特征与来自存储案例库的旧案例进行匹配。当输入是英语句子结构和属性时，我们使用前馈人工神经网络来选择阿拉伯语的句法特征。使用规则对检索到的案例进行调整。

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《International journal of knowledge engineering and soft data paradigms》 |2014年第4期|371-397|共27页
作者
Marwan Akeel; R.B. Mishra;
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作者单位

Department of Computer Engineering, Indian Institute of Technology-Banaras Hindu University (IIT-BHU), Varanasi-221005 U.P., India;

Department of Computer Engineering, Indian Institute of Technology-Banaras Hindu University (IIT-BHU), Varanasi-221005 U.P., India;

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正文语种 eng
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关键词
case-based reasoning; CBR; machine translation; artificial neural networks; ANN; rule-based approach; English to Arabic translation; translation rules;

机译：基于案例的推理;CBR;机器翻译;人工神经网络;人工神经网络基于规则的方法;英语到阿拉伯语翻译;翻译规则;

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ANN and case-based reasoning methods for English to Arabic machine translation

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