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41 条记录 (耗时 0.031 秒)

    Speech recognition using multiple language models
    3.
    发明授权
    Speech recognition using multiple language models 有权
    多语言模型的语音识别

    公开(公告)号：US08972260B2

    公开(公告)日：2015-03-03

    申请号：US13450861

    申请日：2012-04-19

    申请人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    发明人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    IPC分类号： G10L15/00 ,  G10L15/32 ,  G10L15/06 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    CPC分类号： G10L15/32 ,  G10L15/063 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    摘要： In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.

    摘要翻译： 根据一个实施例，一种生成用于语音识别的语言模型的方法包括：识别与语音相对应的训练数据中的多个话语，产生多个话语中的每个发声的频率计数，从多个话语中产生高频多个话语 所述多个话音具有超过预定频率阈值的频率，从具有低于所述预定频率阈值的频率的所述多个话语中产生低频多个话语，使用所述高频率生成基于语法的语言模型 多个话语作为训练数据，并且使用低频多个话语生成统计语言模型作为训练数据。

    SPEECH RECOGNITION USING MULTIPLE LANGUAGE MODELS
    4.
    发明申请
    SPEECH RECOGNITION USING MULTIPLE LANGUAGE MODELS 有权
    使用多种语言模型进行语音识别

    公开(公告)号：US20120271631A1

    公开(公告)日：2012-10-25

    申请号：US13450861

    申请日：2012-04-19

    申请人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    发明人： Fuliang Weng ,  Zhe Feng ,  Kui Xu ,  Lin Zhao

    IPC分类号： G10L15/06

    CPC分类号： G10L15/32 ,  G10L15/063 ,  G10L15/18 ,  G10L15/193 ,  G10L15/197 ,  G10L15/30

    摘要： In accordance with one embodiment, a method of generating language models for speech recognition includes identifying a plurality of utterances in training data corresponding to speech, generating a frequency count of each utterance in the plurality of utterances, generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold, generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold, generating a grammar-based language model using the high-frequency plurality of utterances as training data, and generating a statistical language model using the low-frequency plurality of utterances as training data.

    摘要翻译： 根据一个实施例，一种生成用于语音识别的语言模型的方法包括：识别与语音相对应的训练数据中的多个话语，产生多个话语中的每个发声的频率计数，从多个话语中产生高频多个话语 所述多个话音具有超过预定频率阈值的频率，从具有低于所述预定频率阈值的频率的所述多个话语中产生低频多个话语，使用所述高频率生成基于语法的语言模型 多个话语作为训练数据，并且使用低频多个话语生成统计语言模型作为训练数据。

    Method and apparatus for providing proper or partial proper name recognition
    7.
    发明申请
    Method and apparatus for providing proper or partial proper name recognition 有权
    提供正确或部分正确名称识别的方法和装置

    公开(公告)号：US20060015484A1

    公开(公告)日：2006-01-19

    申请号：US10892724

    申请日：2004-07-15

    申请人： Fuliang Weng ,  Lin Zhao

    发明人： Fuliang Weng ,  Lin Zhao

    IPC分类号： G06F17/30 ,  G06F17/27 ,  G06F7/00

    CPC分类号： G06F17/278

    摘要： A method of proper name recognition includes classifying each word of a word string with a tag indicating a proper name entity category or a non-named entity category, and correcting the tag of a boundary word of the word string.

    摘要翻译： 正确名称识别的方法包括用指示正确名称实体类别或非命名实体类别的标签对单词串的每个单词进行分类，以及校正字串的边界字的标签。

    Method and apparatus for providing proper or partial proper name recognition
    8.
    发明授权
    Method and apparatus for providing proper or partial proper name recognition 有权
    提供正确或部分正确名称识别的方法和装置

    公开(公告)号：US07865356B2

    公开(公告)日：2011-01-04

    申请号：US10892724

    申请日：2004-07-15

    申请人： Fuliang Weng ,  Lin Zhao

    发明人： Fuliang Weng ,  Lin Zhao

    IPC分类号： G06F17/27

    CPC分类号： G06F17/278

    摘要： A method of proper name recognition includes classifying each word of a word string with a tag indicating a proper name entity category or a non-named entity category, and correcting the tag of a boundary word of the word string.

    摘要翻译： 正确名称识别的方法包括用指示正确名称实体类别或非命名实体类别的标签对单词串的每个单词进行分类，以及校正字串的边界字的标签。

    System and Method For Domain-Independent Aspect Level Sentiment Detection
    10.
    发明申请
    System and Method For Domain-Independent Aspect Level Sentiment Detection 审中-公开

    公开(公告)号：US20190005027A1

    公开(公告)日：2019-01-03

    申请号：US16016106

    申请日：2018-06-22

    申请人： Robert Bosch GmbH

    发明人： Yifan He ,  Lin Zhao ,  Kui Xu ,  Zhe Feng

    IPC分类号： G06F17/27 ,  G06N99/00 ,  G06Q50/00 ,  G06Q30/02 ,  G06F17/28

    摘要： A method for automated aspect-based sentiment analysis includes parsing reviews from a first domain to generate rhetorical structure trees and extracting rhetorical rules from the rhetorical structure trees, each rhetorical rule including a path extracted from at least one span in at least one of the rhetorical structure trees associated with a probability that the path corresponds to a positive or negative sentiment based on annotation data. The method further includes parsing reviews from a second domain to generate a second plurality of rhetorical structure trees, generating training data that associates at least one aspect in the review from the second domain with a sentiment associated with a rhetorical rule in the plurality of rhetorical rules, and training a classifier to identify sentiments in reviews from the second domain using the second plurality of reviews and the training data.