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SYMBOL STRING ASSOCIATION DEVICE, SYMBOL STRING CONVERSION MODEL LEARNING DEVICE, SYMBOL STRING CONVERSION DEVICE, METHOD, AND PROGRAM

机译:符号字符串关联设备,符号字符串转换模型学习设备,符号字符串转换设备,方法和程序

摘要

PROBLEM TO BE SOLVED: To accurately perform association of symbols in a combination of symbol strings of different systems in consideration of coherence relation of symbols.SOLUTION: Symbols of a first system and 0 or more continuous symbols of a second system co-occur in every symbol string combination data. A parameter initialization unit 222 sets an initialization value by defining a symbol bi-gram probability for each association of the first system symbol with a corresponding symbol bi-gram among partial symbol strings in which symbols are added to a head and an end of the 0 or more continuous second system symbols. An expectation value calculation unit 223 calculates an expectation value for each association of the first system symbol and the symbol bi-gram on the basis of the symbol bi-gram probability. A parameter update unit 224 updates each symbol bi-gram probability. The expectation value calculation unit 223 and the parameter update unit 224 repeat their processing until a stop condition determination unit 225 determines that stop conditions are satisfied. A symbol string association processing unit 226 associates the symbols on the basis of the symbol bi-gram probability.
机译:解决的问题:考虑符号的相干关系,在不同系统的符号串的组合中准确地执行符号关联。解决方案:每个系统中都会同时出现第一个系统的符号和第二个系统的0个或多个连续符号符号字符串组合数据。参数初始化单元222通过为部分符号串中的第一系统符号与对应的符号二元语法的每个关联定义符号二元语法概率来设置初始化值,在部分符号串中,符号被添加到0的开头和结尾。或更多个连续的第二系统符号。期望值计算单元223基于符号二元语法的概率来针对第一系统符号和符号二元语法的每个关联来计算期望值。参数更新单元224更新每个符号二元语法的概率。期望值计算单元223和参数更新单元224重复它们的处理,直到停止条件确定单元225确定满足停止条件为止。符号串关联处理单元226基于符号二元语法概率来关联符号。

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