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    • 1. 发明申请
    • LANGUAGE PROCESSOR
    • 语言处理器
    • US20130013290A1
    • 2013-01-10
    • US13531682
    • 2012-06-25
    • Kotaro FUNAKOSHIMikio NAKANOTakenobu TOKUNAGARyu IIDA
    • Kotaro FUNAKOSHIMikio NAKANOTakenobu TOKUNAGARyu IIDA
    • G06F17/27
    • G06F17/279G10L13/027G10L15/1822
    • A referring expression processor which uses a probabilistic model and in which referring expressions including descriptive, anaphoric and deictic expressions are understood and generated in the course of dialogue is provided. The referring expression processor according to the present invention includes: a referring expression processing section which performs at least one of understanding and generation of referring expressions using a probabilistic model constructed with a referring expression Bayesian network, each referring expression Bayesian network representing relationships between a reference domain (D) which is a set of possible referents, a referent (X) in the reference domain, a concept (C) concerning the referent and a word (W) which represents the concept; and a memory which stores data necessary for constructing the referring expression Bayesian network.
    • 提供了一种使用概率模型的引用表达式处理器,其中包括描述性,隐喻性和指示性表达的引用表达在对话过程中被理解和产生。 根据本发明的引用表达式处理器包括:引用表达式处理部分,其使用由参考表达式贝叶斯网络构建的概率模型来执行理解和生成引用表达中的至少一个,每个引用表达式贝叶斯网络表示参考 (D),参考域中的指示(X),涉及对象的概念(C)和表示概念的词(W); 以及存储器,其存储构造参考表达式贝叶斯网络所需的数据。
    • 2. 发明授权
    • Language understanding device
    • 语言理解装置
    • US08244522B2
    • 2012-08-14
    • US12123757
    • 2008-05-20
    • Mikio NakanoHiroshi OkunoKazunori KomataniYuichiro FukubayashiKotaro Funakoshi
    • Mikio NakanoHiroshi OkunoKazunori KomataniYuichiro FukubayashiKotaro Funakoshi
    • G06F17/27G06F17/20G10L15/00
    • G06F17/2775G10L15/1815
    • A language understanding device includes: a language understanding model storing unit configured to store word transition data including pre-transition states, input words, predefined outputs corresponding to the input words, word weight information, and post-transition states, and concept weighting data including concepts obtained from language understanding results for at least one word, and concept weight information corresponding to the concepts; a finite state transducer processing unit configured to output understanding result candidates including the predefined outputs, to accumulate word weights so as to obtain a cumulative word weight, and to sequentially perform state transition operations; a concept weighting processing unit configured to accumulate concept weights so as to obtain a cumulative concept weight; and an understanding result determination unit configured to determine an understanding result from the understanding result candidates by referring to the cumulative word weight and the cumulative concept weight.
    • 语言理解装置包括:语言理解模型存储单元,被配置为存储包括转换前状态,输入字,对应于输入字的预定义输出,字重量信息和转换后状态的字跃迁数据,以及概念加权数据,包括 从至少一个单词的语言理解中获得的概念,以及对应于概念的概念权重信息; 有限状态传感器处理单元,被配置为输出包括预定义输出的理解结果候选,以累积字权重,以获得累积字权重,并且顺序执行状态转换操作; 概念加权处理单元,被配置为累积概念权重以获得累积概念权重; 以及理解结果确定单元,被配置为通过参考累积单词权重和累积概念权重来确定理解结果候选的理解结果。
    • 4. 发明申请
    • LEXICAL ACQUISITION APPARATUS, MULTI DIALOGUE BEHAVIOR SYSTEM, AND LEXICAL ACQUISITION PROGRAM
    • 独立收购设备,多对话行为系统和收购程序
    • US20100332231A1
    • 2010-12-30
    • US12791781
    • 2010-06-01
    • Mikio NakanoTakashi NoseRyo TaguchiKotaro FunakoshiNaoto Iwahashi
    • Mikio NakanoTakashi NoseRyo TaguchiKotaro FunakoshiNaoto Iwahashi
    • G10L15/04
    • G10L15/063G10L15/187
    • A lexical acquisition apparatus includes: a phoneme recognition section 2 for preparing a phoneme sequence candidate from an inputted speech; a word matching section 3 for preparing a plurality of word sequences based on the phoneme sequence candidate; a discrimination section 4 for selecting, from among a plurality of word sequences, a word sequence having a high likelihood in a recognition result; an acquisition section 5 for acquiring a new word based on the word sequence selected by the discrimination section 4; a teaching word list 4A used to teach a name; and a probability model 4B of the teaching word and an unknown word, wherein the discrimination section 4 calculates, for each word sequence, a first evaluation value showing how much words in the word sequence correspond to teaching words in the list 4A and a second evaluation value showing a probability at which the words in the word sequence are adjacent to one another and selects a word sequence for which a sum of the first evaluation value and the second evaluation value is maximum, and wherein the acquisition section 5 acquires, as a new word, a word in the word sequence selected by the discrimination section that is not involved in the calculation of the first evaluation value.
    • 词汇获取装置包括:音素识别部分2,用于从输入的语音中准备音素序列候选; 字符匹配部分3,用于基于音素序列候选来准备多个字序列; 鉴别部分4,用于从多个单词序列中选择识别结果中具有高可能性的单词序列; 获取部分5,用于基于由识别部分4选择的单词序列获取新单词; 用于教授名称的教学单词表4A; 以及教学词和未知词的概率模型4B,其中鉴别部分4针对每个单词序列计算第一评估值,其显示单词序列中多少单词​​对应于列表4A中的教学单词和第二评估 表示单词序列中的单词彼此相邻的概率的值,并且选择第一评价值和第二评价值的和为最大的单词序列,并且其中,获取单元5获取新的 字,由歧视部分选择的字序列中不涉及第一评估值的计算的单词。
    • 5. 发明申请
    • Non-dialogue-based Learning Apparatus and Dialogue-based Learning Apparatus
    • 非对话式学习装置和基于对话的学习装置
    • US20100250241A1
    • 2010-09-30
    • US12675381
    • 2008-08-29
    • Naoto IwahashiNoriyuki KimuraMikio NakanoKotaro Funakoshi
    • Naoto IwahashiNoriyuki KimuraMikio NakanoKotaro Funakoshi
    • G06F17/21G10L15/18G06T11/20
    • 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.
    • 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。
    • 6. 发明申请
    • LANGUAGE UNDERSTANDING DEVICE
    • 语言理解设备
    • US20080294437A1
    • 2008-11-27
    • US12123757
    • 2008-05-20
    • Mikio NakanoHiroshi OkunoKazunori KomataniYuichiro FukubayashiKotaro Funakoshi
    • Mikio NakanoHiroshi OkunoKazunori KomataniYuichiro FukubayashiKotaro Funakoshi
    • G10L15/00
    • G06F17/2775G10L15/1815
    • A language understanding device includes: a language understanding model storing unit configured to store word transition data including pre-transition states, input words, predefined outputs corresponding to the input words, word weight information, and post-transition states, and concept weighting data including concepts obtained from language understanding results for at least one word, and concept weight information corresponding to the concepts; a finite state transducer processing unit configured to output understanding result candidates including the predefined outputs, to accumulate word weights so as to obtain a cumulative word weight, and to sequentially perform state transition operations; a concept weighting processing unit configured to accumulate concept weights so as to obtain a cumulative concept weight; and an understanding result determination unit configured to determine an understanding result from the understanding result candidates by referring to the cumulative word weight and the cumulative concept weight.
    • 语言理解装置包括:语言理解模型存储单元,被配置为存储包括转换前状态,输入字,对应于输入字的预定义输出,字重量信息和转换后状态的字跃迁数据,以及概念加权数据,包括 从至少一个单词的语言理解中获得的概念,以及对应于概念的概念权重信息; 有限状态传感器处理单元,被配置为输出包括预定义输出的理解结果候选,以累积字权重,以获得累积字权重,并且顺序执行状态转换操作; 概念加权处理单元,被配置为累积概念权重以获得累积概念权重; 以及理解结果确定单元,被配置为通过参考累积单词权重和累积概念权重来确定理解结果候选的理解结果。
    • 8. 发明授权
    • Language processor
    • 语言处理器
    • US08868407B2
    • 2014-10-21
    • US13531682
    • 2012-06-25
    • Kotaro FunakoshiMikio NakanoTakenobu TokunagaRyu Iida
    • Kotaro FunakoshiMikio NakanoTakenobu TokunagaRyu Iida
    • G06F17/27
    • G06F17/279G10L13/027G10L15/1822
    • A referring expression processor which uses a probabilistic model and in which referring expressions including descriptive, anaphoric and deictic expressions are understood and generated in the course of dialogue is provided. The referring expression processor according to the present invention includes: a referring expression processing section which performs at least one of understanding and generation of referring expressions using a probabilistic model constructed with a referring expression Bayesian network, each referring expression Bayesian network representing relationships between a reference domain (D) which is a set of possible referents, a referent (X) in the reference domain, a concept (C) concerning the referent and a word (W) which represents the concept; and a memory which stores data necessary for constructing the referring expression Bayesian network.
    • 提供了一种使用概率模型的引用表达式处理器,其中包括描述性,隐喻性和指示性表达的引用表达在对话过程中被理解和产生。 根据本发明的引用表达式处理器包括:引用表达式处理部分,其使用由参考表达式贝叶斯网络构建的概率模型来执行理解和生成引用表达中的至少一个,每个引用表达式贝叶斯网络表示参考 (D),参考域中的指示(X),涉及对象的概念(C)和表示概念的词(W); 以及存储器,其存储构造参考表达式贝叶斯网络所需的数据。
    • 9. 发明授权
    • Lexical acquisition apparatus, multi dialogue behavior system, and lexical acquisition program
    • 词汇采集仪,多对话行为系统和词汇采集程序
    • US08566097B2
    • 2013-10-22
    • US12791781
    • 2010-06-01
    • Mikio NakanoTakashi NoseRyo TaguchiKotaro FunakoshiNaoto Iwahashi
    • Mikio NakanoTakashi NoseRyo TaguchiKotaro FunakoshiNaoto Iwahashi
    • G10L15/00
    • G10L15/063G10L15/187
    • A lexical acquisition apparatus includes: a phoneme recognition section 2 for preparing a phoneme sequence candidate from an inputted speech; a word matching section 3 for preparing a plurality of word sequences based on the phoneme sequence candidate; a discrimination section 4 for selecting, from among a plurality of word sequences, a word sequence having a high likelihood in a recognition result; an acquisition section 5 for acquiring a new word based on the word sequence selected by the discrimination section 4; a teaching word list 4A used to teach a name; and a probability model 4B of the teaching word and an unknown word, wherein the discrimination section 4 calculates, for each word sequence, a first evaluation value showing how much words in the word sequence correspond to teaching words in the list 4A and a second evaluation value showing a probability at which the words in the word sequence are adjacent to one another and selects a word sequence for which a sum of the first evaluation value and the second evaluation value is maximum, and wherein the acquisition section 5 acquires, as a new word, a word in the word sequence selected by the discrimination section that is not involved in the calculation of the first evaluation value.
    • 词汇获取装置包括:音素识别部分2,用于从输入的语音中准备音素序列候选; 字符匹配部分3,用于基于音素序列候选来准备多个字序列; 鉴别部分4,用于从多个单词序列中选择识别结果中具有高可能性的单词序列; 获取部分5,用于基于由识别部分4选择的单词序列获取新单词; 用于教授名称的教学单词表4A; 以及教学词和未知词的概率模型4B,其中鉴别部分4针对每个单词序列计算第一评估值,其显示单词序列中多少单词​​对应于列表4A中的教学单词和第二评估 表示单词序列中的单词彼此相邻的概率的值,并且选择第一评价值和第二评价值的和为最大的单词序列,并且其中,获取单元5获取新的 字,由歧视部分选择的字序列中不涉及第一评估值的计算的单词。