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Word-splitting estimation model learning device, word-splitting device, method, and program

机译:分词估计模型学习装置,分词装置,方法和程序

摘要

To provide a word division estimation model learning device, a word division device, method and program capable of learning a model for accurately dividing a text into words.SOLUTION: A word division estimation model learning device is configured so that: an input part 10 receives a text to which a word division label is applied, the word division label indicating whether or not there is a word division boundary for every character in a text; an existing analysis tool division result acquisition part 30 acquires a result obtained by dividing the text into a prescribed character string unit; a word division model learning part 32 learns a word division model 40 which is a neural network in which, a word division label applied to each character in the text is an output, with each character in the text and a result obtained by dividing the text into a prescribed character string unit as inputs, based on the word division label applied for every character in the text, and a result obtained by dividing the acquired text into a prescribed character string unit.SELECTED DRAWING: Figure 1
机译:为了提供分词估计模型学习设备,能够学习用于将文本准确地划分为单词的模型的分词设备,方法和程序。解决方案:分词估计模型学习设备被配置为:输入部分10接收带有分词标签的文本,该分词标签指示文本中每个字符是否存在分词边界;现有分析工具分割结果获取部30获取通过将文本划分为规定的字符串单位而获得的结果;词分割模型学习部32学习作为神经网络的词分割模型40,在该神经网络中,对文本中的每个字符施加加在文本中的每个字符的分词标签,并输出通过对文本进行分割而得到的结果。基于对文本中每个字符应用的分词标签,将输入的文本分成指定的字符串单位,以及将获取的文本划分为指定的字符串单位而获得的结果。

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