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METHOD, DEVICE, AND PROGRAM FOR LANGUAGE PROBABILITY CALCULATION

机译:语言概率计算的方法,装置和程序

摘要

PROBLEM TO BE SOLVED: To appropriately predict the next word by effectively utilizing information of a long text, that is, a topic and a style of the sentence, a word peculiar to a speaker and a way of speaking or the like.SOLUTION: A language probability calculation device 1 sequentially reads a vector showing a symbol, and calculates an activity vector of an input layer for each reading, and every time the activity vector of the input layer is calculated, the activity vector of the intermediate layer is calculated based on the activity vector calculated last time in the intermediate layer and the activity vector of the input layer. At this time, the language probability calculation device 1 calculates an average activity vector which is an average of the activity vector calculated previous to the prescribed number of times from among the activity vectors of the intermediate layer, and every time the activity vector of the intermediate layer is calculated, the activity vector of an output layer is calculated based on the activity vector of the intermediate layer and the average activity vector of the intermediate layer, and an appearance probability of the symbol is calculated based on the activity vector of the output layer.SELECTED DRAWING: Figure 4
机译:解决的问题:通过有效地利用长文本信息(即主题和句子风格,说话者特有的单词以及说话方式等)来适当地预测下一个单词。语言概率计算设备1依次读取表示符号的向量,并针对每次读数计算输入层的活动向量,并且每次计算输入层的活动向量时,都会根据以下公式计算中间层的活动向量:上一次在中间层计算的活动向量和输入层的活动向量。此时,语言概率计算设备1计算平均活动矢量,该平均活动矢量是从中间层的活动矢量当中,在预定次数之前计算出的活动矢量的平均值,并且每次计算中间活动矢量计算中间层,根据中间层的活动向量和中间层的平均活动向量计算输出层的活动向量,并基于输出层的活动向量计算符号的出现概率.SELECTED DRAWING:图4

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