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Fully automated Arabic to English machine translation system: transfer-based approach of AE-TBMT

机译：全自动阿拉伯语到英语机器翻译系统：AE-TBMT的转移方法

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Transfer-based technique is currently one of the most widely used methods of machine translation. The idea behind this method is to have an intermediate representation that captures the meaning of the original sentence in order to generate the correct translation. In this paper we have explored several features of Arabic pertinent to MT. The hypothesis under investigation and main aims of this paper are to build a robust lexical Machine Translation (MT) system that will accept Arabic source sentences (SL) and generate English sentences as a target language (TL), and to examine how the challenges imposed by this particular language pair are tackled. The paper represents as well a starting point for the future implementation of a successful Arabic MT engine. The conducted experiment proves that our system (AE-TBMT) has scored the highest percentage by 96.6%, this means that only three percent of the entire test examples have not been handled correctly, and this result is considered fair if not good, as the other three systems score below that mark.
机译：基于转移的技术目前是最广泛使用的机器翻译方法之一。这种方法背后的想法是具有中间表示，其捕获原始句子的含义以便生成正确的转换。在本文中，我们探讨了与MT相关的阿拉伯语的几个特征。调查和主要目的下的假设是建立一个强大的词汇机器翻译（MT）系统，该系统将接受阿拉伯来源句子（SL）并将英文句子作为目标语言（TL）一起生成，并检查所强加的挑战通过这种特殊的语言对进行解决。本文还代表了成功的阿拉伯语MT发动机的未来实施的起点。进行的实验证明，我们的系统（AE-TBMT）的百分比增长了96.6％，这意味着只有正确处理整个测试例子的三个百分之三，如果不好，这一结果就被认为是公平的其他三个系统得分低于该标记。

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