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A Context-aware Automatic Chinese Transliterated Person Names Recognition Approach

机译:一种上下文感知的中文音译人名自动识别方法

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Chinese Transliterated Person Name (TP-Name) recognition is a special challenging task in Chinese unknown word recognition and Chinese word segmentation.Most of existing researches mainly focus on recognizing the names of Chinese person while seldom specialize in recognizing transliterated person names.In this paper,we proposed a hybrid method for TP-Name recognition based on both the context of person names existing in and the reliability model.Besides,partial frequency statistics and proliferation option are also used to correct the misrecognized names and unrecognized names.Experiments based on a true dataset show that our approach is efficient in recognizing the TPNames from Chinese texts.The precision rate,recall rate and F-measure are 93.81%,98.14%,95.92% respectively.
机译:汉语音译人名(TP-Name)的识别是汉语未知词识别和中文分词中一项特殊的挑战性任务。现有的研究大多集中在识别中文人的名字上,而很少专门研究音译人的名字。在此基础上,我们提出了一种基于人名存在的上下文和可靠性模型的混合名称识别方法。此外,还利用偏频统计和扩散选项对误识别和不识别的名字进行校正。真实的数据集表明,该方法能够有效识别中文文本中的TP名称。准确率,召回率和F-measure分别为93.81%,98.14%,95.92%。

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