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    • 11. 发明申请
    • QUESTION AND ANSWER DATABASE EXPANSION APPARATUS AND QUESTION AND ANSWER DATABASE EXPANSION METHOD
    • 问题和答案数据库扩展设备和问题和答案数据库扩展方法
    • US20110010177A1
    • 2011-01-13
    • US12832426
    • 2010-07-08
    • Mikio NAKANOKotaro FUNAKOSHIHiromi NARIMATSU
    • Mikio NAKANOKotaro FUNAKOSHIHiromi NARIMATSU
    • G10L15/18
    • G10L15/32G10L15/18G10L15/183
    • A question and answer database expansion apparatus includes: a question and answer database in which questions and answers corresponding to the questions are registered in association with each other, a first speech recognition unit which carries out speech recognition for an input sound signal by using a language model based on the question and answer database, and outputs a first speech recognition result as the recognition result, a second speech recognition unit which carries out speech recognition for the input sound signal by using a language model based on a large vocabulary database, and outputs a second speech recognition result as the recognition result, and a question detection unit which detects an unregistered utterance, which is not registered in the question and answer database, from the input sound based on the first speech recognition result and the second speech recognition result, and outputs the detected unregistered utterance.
    • 问题和答案数据库扩展装置包括:问题和答案数据库,其中与问题相对应的问题和答案彼此相关联;第一语音识别单元,通过使用语言对输入声音信号执行语音识别 模型,并且输出作为识别结果的第一语音识别结果,第二语音识别单元,通过使用基于大词汇数据库的语言模型对输入声音信号执行语音识别,并且输出 第二语音识别结果作为识别结果,以及问题检测单元,其基于第一语音识别结果和第二语音识别结果,从输入声音中检测未登记在问答数据库中的未登记话语, 并输出检测到的未注册的话语。
    • 15. 发明授权
    • Non-dialogue-based and dialogue-based learning apparatus by substituting for uttered words undefined in a dictionary with word-graphs comprising of words defined in the dictionary
    • 基于非对话和基于对话的学习装置,通过用字典中定义的词组来代替在字典中未定义的词组,
    • US08868410B2
    • 2014-10-21
    • US12675381
    • 2008-08-29
    • Naoto IwahashiNoriyuki KimuraMikio NakanoKotaro Funakoshi
    • Naoto IwahashiNoriyuki KimuraMikio NakanoKotaro Funakoshi
    • G06F17/21G10L15/00G10L15/18G10L15/22G06F17/27G10L15/06
    • G10L15/1822G06F17/2735G10L15/063G10L15/22
    • The invention provides a dialogue-based learning apparatus through dialogue with users comprising: a speech input unit (10) for inputting speeches; a speech recognition unit (20) for recognizing the input speech; and a behavior and dialogue controller (30) for controlling behaviors and dialogues according to speech recognition results, wherein the behavior and dialogue controller (30) has a topic recognition expert (34) to memorise contents of utterances and to retrieve the topic that best matches the speech recognition results, and a mode switching expert (35) to control mode switching in accordance with a user utterance, wherein the mode switching expert switches modes in accordance with a user utterance, wherein the topic recognition expert registers a plurality words in the utterance as topics in first mode, performs searches from among the registered topics, and selects the maximum likelihood topic in second mode. Finally for every uttered word which is not found in a predetermined dictionary, it substitutes the said word with a word-graph comprising of either a known or a combination of known words in the said dictionary.
    • 本发明通过与用户的对话提供基于对话的学习装置,包括:用于输入演讲的语音输入单元(10); 用于识别输入语音的语音识别单元(20); 以及用于根据语音识别结果控制行为和对话的行为和对话控制器(30),其中所述行为和对话控制器(30)具有主题识别专家(34),以记忆话语的内容并检索最佳匹配的主题 语音识别结果,以及根据用户话语来控制模式切换的模式切换专家(35),其中所述模式切换专家根据用户话语切换模式,其中所述主题识别专家在话语中登记多个单词 作为第一模式中的主题,执行从注册主题的搜索,并且在第二模式中选择最大似然主题。 最后,对于在预定字典中没有发现的每个发音字,它用所述字典中包含已知或已知单词的组合的单词图代替所述单词。
    • 16. 发明授权
    • Language processor
    • 语言处理器
    • US08660837B2
    • 2014-02-25
    • US12723956
    • 2010-03-15
    • Kotaro Funakoshi
    • Kotaro Funakoshi
    • G06F17/27
    • G10L15/1815
    • A language processor according to the present invention includes a probability calculating section (103) having a probabilistic model by which a probability that a set of partial referring expression pairs represents an object, each pair consisting of an attribute value expression and a part expression modified by the attribute value expression, the set of referring expression pairs including a pair concerning the whole object, is represented by a product of probabilities each of which is a probability that each partial referring expression pair represents the object. The probability that each partial referring expression pair represents the object is obtained using a probability that the object is chosen, a probability that represents the salience of a part of the object, and a probability representing relevance between the part of the object and an attribute value, a probability that the part expression is used for a part of the object, and a probability that the attribute value expression is used for an attribute value. It further includes at least one memory section (101) for storing values of probabilities used for the probabilistic model. The probability calculating section calculates the probability that the set of partial referring expression pairs represents the object using the values of probabilities stored in the at least one memory section and the probabilistic model.
    • 根据本发明的语言处理器包括概率计算部分(103),其具有概率模型,通过该概率模型,部分参考表达式对的集合表示对象的概率,每对由属性值表达式和由 属性值表达式,包括关于整个对象的对的引用表达式对的集合由概率的乘积表示,每个概率是每个部分引用表达式对表示对象的概率。 每个部分引用表达式对表示对象的概率是使用选择对象的概率获得的,表示对象的一部分的显着性的概率,以及表示对象的一部分与属性值之间的相关性的概率 ,部分表达式用于对象的一部分的概率以及属性值表达式用于属性值的概率。 它还包括用于存储用于概率模型的概率值的至少一个存储器部分(101)。 概率计算部分使用存储在至少一个存储器部分中的概率值和概率模型来计算部分参考表达式对的集合表示对象的概率。
    • 17. 发明授权
    • Question and answer database expansion based on speech recognition using a specialized and a general language model
    • 使用专门的和一般的语言模型,基于语音识别的问题和答案数据库扩展
    • US08515764B2
    • 2013-08-20
    • US12832426
    • 2010-07-08
    • Mikio NakanoKotaro FunakoshiHiromi Narimatsu
    • Mikio NakanoKotaro FunakoshiHiromi Narimatsu
    • G10L15/22G10L15/08
    • G10L15/32G10L15/18G10L15/183
    • A question and answer database expansion apparatus includes: a question and answer database in which questions and answers corresponding to the questions are registered in association with each other, a first speech recognition unit which carries out speech recognition for an input sound signal by using a language model based on the question and answer database, and outputs a first speech recognition result as the recognition result, a second speech recognition unit which carries out speech recognition for the input sound signal by using a language model based on a large vocabulary database, and outputs a second speech recognition result as the recognition result, and a question detection unit which detects an unregistered utterance, which is not registered in the question and answer database, from the input sound based on the first speech recognition result and the second speech recognition result, and outputs the detected unregistered utterance.
    • 问题和答案数据库扩展装置包括:问题和答案数据库,其中与问题相对应的问题和答案彼此相关联;第一语音识别单元,通过使用语言对输入声音信号执行语音识别 模型,并且输出作为识别结果的第一语音识别结果,第二语音识别单元,通过使用基于大词汇数据库的语言模型对输入声音信号执行语音识别,并且输出 第二语音识别结果作为识别结果,以及问题检测单元,其基于第一语音识别结果和第二语音识别结果,从输入声音中检测未登记在问答数据库中的未登记话语, 并输出检测到的未注册的话语。
    • 18. 发明授权
    • Language understanding apparatus, language understanding method, and computer program
    • 语言理解装置,语言理解方法和计算机程序
    • US08117023B2
    • 2012-02-14
    • US11999236
    • 2007-12-04
    • Kotaro FunakoshiMikio Nakano
    • Kotaro FunakoshiMikio Nakano
    • G06F17/27
    • G06F17/2785
    • This language understanding apparatus includes a storage section, a phrase interpreter, and a bidding section. The bidding section reads information on a slot of a semantic frame corresponding to a concept indicated by an information read by the phrase interpreter and information on a concept corresponding to the slot by referring to the storage section, specifies, for each semantic frame read, from the concept representation detected by the phrase interpreter, a concept representation corresponding to a concept corresponding to each slot of the semantic frame or a subordinate concept of that concept, and a concept representation whose slot of another semantic frame is not bidden, and repeats bidding the slot for the specified concept representation, thereby generating slot allocation table data indicating a bidding result.
    • 该语言理解装置包括存储部分,短语解释器和投标部分。 投标部分通过参考存储部分读取与通过短语解释器读取的信息所指示的概念相对应的语义帧的时隙信息,并且通过参考存储部分来读取对于每个语义帧读取的概念的信息 由短语解释器检测到的概念表示,对应于与语义帧的每个时隙对应的概念或该概念的从属概念的概念表示,以及不禁止另一个语义帧的时隙的概念表示,并重复出价 用于指定的概念表示,从而生成指示投标结果的时隙分配表数据。
    • 19. 发明申请
    • LANGUAGE PROCESSOR
    • 语言处理器
    • US20100241421A1
    • 2010-09-23
    • US12723956
    • 2010-03-15
    • Kotaro FUNAKOSHI
    • Kotaro FUNAKOSHI
    • G10L19/00
    • G10L15/1815
    • A language processor according to the present invention includes a probability calculating section (103) having a probabilistic model by which a probability that a set of partial referring expression pairs represents an object, each pair consisting of an attribute value expression and a part expression modified by the attribute value expression, the set of referring expression pairs including a pair concerning the whole object, is represented by a product of probabilities each of which is a probability that each partial referring expression pair represents the object. The probability that each partial referring expression pair represents the object is obtained using a probability that the object is chosen, a probability that represents the salience of a part of the object, and a probability representing relevance between the part of the object and an attribute value, a probability that the part expression is used for a part of the object, and a probability that the attribute value expression is used for an attribute value. It further includes at least one memory section (101) for storing values of probabilities used for the probabilistic model. The probability calculating section calculates the probability that the set of partial referring expression pairs represents the object using the values of probabilities stored in the at least one memory section and the probabilistic model.
    • 根据本发明的语言处理器包括概率计算部分(103),其具有概率模型,通过该概率模型,部分参考表达式对的集合表示对象的概率,每对由属性值表达式和由 属性值表达式,包括关于整个对象的对的引用表达式对的集合由概率的乘积表示,每个概率是每个部分引用表达式对表示对象的概率。 每个部分引用表达式对表示对象的概率是使用选择对象的概率获得的,表示对象的一部分的显着性的概率,以及表示对象的一部分与属性值之间的相关性的概率 ,部分表达式用于对象的一部分的概率以及属性值表达式用于属性值的概率。 它还包括用于存储用于概率模型的概率值的至少一个存储器部分(101)。 概率计算部分使用存储在至少一个存储器部分中的概率值和概率模型来计算部分参考表达式对的集合表示对象的概率。
    • 20. 发明申请
    • Language understanding apparatus, language understanding method, and computer program
    • 语言理解装置,语言理解方法和计算机程序
    • US20080140389A1
    • 2008-06-12
    • US11999236
    • 2007-12-04
    • Kotaro FunakoshiMikio Nakano
    • Kotaro FunakoshiMikio Nakano
    • G06F17/27
    • G06F17/2785
    • This language understanding apparatus includes a storage section, a phrase interpreter, and a bidding section. The bidding section reads information on a slot of a semantic frame corresponding to a concept indicated by an information read by the phrase interpreter and information on a concept corresponding to the slot by referring to the storage section, specifies, for each semantic frame read, from the concept representation detected by the phrase interpreter, a concept representation corresponding to a concept corresponding to each slot of the semantic frame or a subordinate concept of that concept, and a concept representation whose slot of another semantic frame is not bidden, and repeats bidding the slot for the specified concept representation, thereby generating slot allocation table data indicating a bidding result.
    • 该语言理解装置包括存储部分,短语解释器和投标部分。 投标部分通过参考存储部分读取与通过短语解释器读取的信息所指示的概念相对应的语义帧的时隙信息,并且通过参考存储部分来读取对于每个语义帧读取的概念的信息 由短语解释器检测到的概念表示,对应于与语义帧的每个时隙对应的概念或该概念的从属概念的概念表示,以及不禁止另一个语义帧的时隙的概念表示,并重复出价 用于指定的概念表示,从而生成指示投标结果的时隙分配表数据。