首页> 外国专利> LEARNING DEVICE FOR KNOWLEDGE FOR SHORTENING SENTENCE, SENTENCE SHORTENING DEVICE, MACHINE TRANSLATING DEVICE AND COMPUTER PROGRAM FOR SHORTENING SENTENCE

LEARNING DEVICE FOR KNOWLEDGE FOR SHORTENING SENTENCE, SENTENCE SHORTENING DEVICE, MACHINE TRANSLATING DEVICE AND COMPUTER PROGRAM FOR SHORTENING SENTENCE

机译:缩短句子知识的学习设备,句子缩短设备,机器翻译设备和缩短句子的计算机程序

摘要

PPROBLEM TO BE SOLVED: To shorten an input sentence without using syntax analysis processing even when an input sentence is a long sentence. PSOLUTION: This machine translation system 20 includes an erasure knowledge preparation processing part 32 for preparing erasure knowledge 34 related with the elements of a sentence, a long sentence shortening part 60 for shortening an input sentence 36 by using erasure knowledge 34 and a machine translation part 64 for inputting a shortened sentence 62 to be outputted by the long sentence shortening part 60. The erasure knowledge preparation processing part 32 is configured as the learning device of knowledge for a shortened sentence for learning knowledge for sentence shortening from a pair of sentences 30 for learning constituted of a pair of synonymous long and short sentences, and includes a learning data preparing part 50 for preparing learning data 52 by respectively applying predetermined tags to elements configuring the long sentence, which are included in elements configuring the short sentence, and the other elements and an erasure knowledge learning part 54 for capturing erasure knowledge 34 for estimating a tag showing whether or not arbitrary elements can be erased by machine learning using the learning data 52. The long sentence shortening part 60 shortens the input sentence 36 by using erasure knowledge 34. PCOPYRIGHT: (C)2006,JPO&NCIPI
机译:

要解决的问题:即使输入句子是长句子,也可以不使用语法分析处理来缩短输入句子。解决方案:该机器翻译系统20包括:擦除知识准备处理部分32,用于准备与句子的元素有关的擦除知识34;长句缩短部分60,用于通过使用擦除知识34来缩短输入句子36;以及机器翻译部分64,用于输入要由长句子缩短部分60输出的缩短句子62。删除知识准备处理部分32被配置为用于缩短句子的知识学习设备,用于从一对学习对句子缩短的知识。由一对同义的长和短句子组成的用于学习的句子30,并且包括学习数据准备部分50,用于通过将预定标签分别施加到构成短句子的元素中的构成长句子的元素来准备学习数据52,以及其他要素和用于捕获的擦除知识学习部分54擦除知识34,用于估计表示通过使用学习数据52的机器学习是否可以擦除任意元素的标签。长句缩短部分60通过使用擦除知识34来缩短输入语句36。

版权:(C) 2006年,日本特许厅

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