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    TEXT ENTRY WITH WORD PREDICTION, COMPLETION, OR CORRECTION SUPPLEMENTED BY SEARCH OF SHARED CORPUS
    81.
    发明公开
    TEXT ENTRY WITH WORD PREDICTION, COMPLETION, OR CORRECTION SUPPLEMENTED BY SEARCH OF SHARED CORPUS 审中-公开

    公开(公告)号：EP2638486A4

    公开(公告)日：2018-03-14

    申请号：EP11840617

    申请日：2011-11-10

    申请人： NUANCE COMMUNICATIONS INC

    发明人： UNRUH ERLAND

    IPC分类号： G06F17/30 ,  G06F17/27

    CPC分类号： G06F17/3064 ,  G06F3/0237 ,  G06F17/273 ,  G06F17/276

    摘要： Searching a shared corpus is used to supplement word prediction, completion, and/or correction of text entry. A user input device at a client device receives user entry of text input comprising a string of symbols. The client device wirelessly transmits instructions to a remote site to conduct a search of a corpus using the string as a contiguous search term. From the remote site, the client device receives results of the search, including multiple sets of one or more words, each set occurring in the corpus immediately after the search term. The client device uses the received sets in word prediction, completion, and/or correction.

    NATURAL LANGUAGE UNDERSTANDING CACHE
    84.
    发明公开
    NATURAL LANGUAGE UNDERSTANDING CACHE 审中-公开
    自然语言理解高速缓存

    公开(公告)号：EP3227793A1

    公开(公告)日：2017-10-11

    申请号：EP15816950.8

    申请日：2015-11-30

    申请人： Nuance Communications, Inc.

    发明人： HEBERT, Matthieu ,  GILLET, Andre

    IPC分类号： G06F17/27

    CPC分类号： G06F17/2705 ,  G06F12/0875 ,  G06F17/3087 ,  G06F17/30997 ,  G06F2212/452

    摘要： Disclosed methods and systems are directed to natural language understanding cache usage. The methods and systems may include receiving a first natural language input comprising a set of one or more terms, and parsing the first natural language input to determine a first pretag result comprising a first string comprising at least one term from the set of one or more terms. The methods and systems may also determine that if the first pretag result corresponds to a key stored in a cache, then retrieve one or more cached NLU results corresponding to the at least one key. The methods and systems may also determine that if the first pretag result does not correspond to a key stored in the cache, then determine, based on the set of one or more terms, a first NLU result corresponding to the first natural language input.

    摘要翻译： 所公开的方法和系统针对自然语言理解缓存使用。 该方法和系统可以包括：接收包括一个或多个项的集合的第一自然语言输入;以及解析第一自然语言输入以确定包括第一串的第一预标记结果，该第一串包括来自一个或多个 条款。 该方法和系统还可以确定，如果第一预标签结果对应于存储在高速缓存中的密钥，则检索对应于该至少一个密钥的一个或多个高速缓存的NLU结果。 方法和系统还可以确定如果第一预标签结果不对应于存储在高速缓存中的密钥，则基于一个或多个项的集合来确定对应于第一自然语言输入的第一NLU结果。

    SYSTEM AND METHOD FOR PREDICTIVE TEXT ENTRY USING N-GRAM LANGUAGE MODEL
    85.
    发明公开
    SYSTEM AND METHOD FOR PREDICTIVE TEXT ENTRY USING N-GRAM LANGUAGE MODEL 审中-公开
    使用N-gram语言模型的预测文本输入的系统和方法

    公开(公告)号：EP3224737A1

    公开(公告)日：2017-10-04

    申请号：EP14906914.8

    申请日：2014-11-25

    申请人： Nuance Communications, Inc. ,  Nuance Software Technology (Beijing) Co., Ltd.

    发明人： HE, Nan ,  WU, Jianchao

    IPC分类号： G06F17/27

    CPC分类号： G06F17/276 ,  G06F3/0237 ,  G06F3/0482 ,  G06F17/2785

    摘要： The disclosed system provides an improved method for text input by using linguistic models based on conditional probabilities to provide meaningful word completion suggestions based on previously entered words. The system uses previously entered n-grams, where n>=2, to generate a list of candidate words matching a current user input. The candidate words are based on one or more conditional probabilities, where the conditional probabilities show a probability of a candidate word following a previously entered n-gram. The system displays the list of candidate words to the user and allows the user to select a desired word for entry. The system also utilizes the context of the text entry to select the candidate words.

    摘要翻译： 所公开的系统通过使用基于条件概率的语言模型来提供用于文本输入的改进方法，以基于先前输入的单词提供有意义的单词完成建议。 系统使用先前输入的n元组（其中n> = 2）来生成匹配当前用户输入的候选词列表。 候选词基于一个或多个条件概率，其中条件概率表示在先前输入的n元组之后的候选词的概率。 系统向用户显示候选单词列表，并允许用户选择所需单词进行输入。 该系统还利用文本输入的上下文来选择候选词。

    AUTOMATIC DATA-DRIVEN DIALOG DISCOVERY SYSTEM
    87.
    发明公开
    AUTOMATIC DATA-DRIVEN DIALOG DISCOVERY SYSTEM 审中-公开
    自动数据驱动的对话发现系统

    公开(公告)号：EP3204938A1

    公开(公告)日：2017-08-16

    申请号：EP15779090.8

    申请日：2015-09-24

    申请人： Nuance Communications, Inc.

    发明人： GOUSSARD, Jacques-Olivier ,  BEAUFORT, Richard J.

    IPC分类号： G10L15/18 ,  G10L15/22 ,  H04M3/493

    摘要： Methods and systems for providing help prompts to a user of an automated dialog system are presented. In some embodiments, a computing device may receive a help request from the user of an automated dialog system. The help request may comprise a user request for information about one or more capabilities of the automated dialog system. The computing device may identify information expected to be input by the user to request that the automated dialog system perform its one or more capabilities. A natural language help prompt may be generated to provide guidance to the user to provide the identified information expected to be input.

    摘要翻译： 提供了用于向自动对话系统的用户提供帮助提示的方法和系统。 在一些实施例中，计算设备可以从自动对话系统的用户接收帮助请求。 帮助请求可以包括用户对关于自动对话系统的一个或多个功能的信息的请求。 计算设备可识别预期由用户输入的信息以请求自动对话系统执行其一个或多个能力。 可以生成自然语言帮助提示以向用户提供指导，以提供预期输入的识别信息。

    SYSTEMS AND METHODS FOR SPEECH-BASED SEARCHING OF CONTENT REPOSITORIES
    90.
    发明公开
    SYSTEMS AND METHODS FOR SPEECH-BASED SEARCHING OF CONTENT REPOSITORIES 审中-公开
    用于基于语音的搜索内容存储库的系统和方法

    公开(公告)号：EP3164807A1

    公开(公告)日：2017-05-10

    申请号：EP14750270.2

    申请日：2014-07-22

    申请人： Nuance Communications, Inc.

    发明人： KLEINDIENST, Jan ,  KUNC, Ladislav ,  LABSKY, Martin ,  MACEK, Tomas

    IPC分类号： G06F17/30 ,  G10L15/22

    CPC分类号： G06F17/3053 ,  G06F17/30477 ,  G06F17/30675 ,  G06F17/30734 ,  G06N99/005 ,  G10L15/22 ,  G10L2015/223

    摘要： According to some aspects, a method of searching for content in response to a user voice query is provided. The method may comprise receiving the user voice query, performing speech recognition to generate N best speech recognition results comprising a first speech recognition result, performing a supervised search of at least one content repository to identify one or more supervised search results using one or more classifiers that classify the first speech recognition result into at least one class that identifies previously classified content in the at least one content repository, performing an unsupervised search of the at least one content repository to identify one or more unsupervised search results, wherein performing the unsupervised search comprises performing a word search of the at least one content repository, and generating combined results from among the one or more supervised search results and the one or more unsupervised search results.

    摘要翻译： 根据一些方面，提供了响应于用户语音查询而搜索内容的方法。 该方法可以包括接收用户语音查询，执行语音识别以生成包括第一语音识别结果的N个最佳语音识别结果，使用一个或多个分类器对至少一个内容储存库执行监督搜索以识别一个或多个受监管搜索结果 将所述第一语音识别结果分类成标识所述至少一个内容储存库中的先前分类的内容的至少一个类别，执行对所述至少一个内容储存库的无监督搜索以标识一个或多个无监督搜索结果，其中执行所述无监督搜索 包括执行所述至少一个内容储存库的单词搜索，并且从所述一个或多个监督搜索结果和所述一个或多个无监督搜索结果中生成组合结果。