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    Method and apparatus for generation and augmentation of search terms from external and internal sources
    6.
    发明授权
    Method and apparatus for generation and augmentation of search terms from external and internal sources 有权
    从外部和内部来源生成和增加搜索词的方法和装置

    公开(公告)号：US09305549B2

    公开(公告)日：2016-04-05

    申请号：US14513093

    申请日：2014-10-13

    Applicant: PROMPTU SYSTEMS CORPORATION

    Inventor： Joseph Bruce Stampleman ,  Harry Printz

    IPC: G10L15/00 ,  G10L15/22 ,  G06Q30/02 ,  G10L17/26 ,  G10L15/18 ,  G06F17/30

    CPC classification number: G10L15/187 ,  G06F17/30861 ,  G06F17/30867 ,  G06Q30/02 ,  G10L15/02 ,  G10L15/142 ,  G10L15/18 ,  G10L15/22 ,  G10L17/26 ,  G10L2015/025

    Abstract: A method and apparatus to identify names, personalities, titles, and topics that are present in a repository and to identify names, personalities, titles, and topics that are not present in the repository, uses information from external data sources, notably the text used in non-speech, text-based searches, to expand the search terms. The expansion takes place in two forms: (1) finding plausible linguistic variants of existing search terms that are already comprehended in the repository, but that are present under slightly different names; and (2) expanding the existing search term list with items that should be there by virtue of their currency in popular culture, but which for whatever reason have not yet been reflected with content items in the repository.

    Abstract translation: 识别存储库中存在的名称，个性，标题和主题以及识别存储库中不存在的名称，个性，标题和主题的方法和装置使用来自外部数据源的信息，特别是所使用的文本 在非语音，基于文本的搜索中，扩展搜索词。 扩展有两种形式：（1）找到已经在知识库中理解的现有搜索词的合理语言变体，但存在于稍微不同的名称下; 和（2）扩大现有的搜索项目列表，其项目应该是以流通文化中的货币存在的，但由于任何原因，还没有反映在存储库中的内容项目。

    Method and apparatus for efficient preamble detection in digital data receivers
    9.
    发明授权
    Method and apparatus for efficient preamble detection in digital data receivers 失效
    用于数字数据接收机中有效前同步码检测的方法和装置

    公开(公告)号：US07428273B2

    公开(公告)日：2008-09-23

    申请号：US10944503

    申请日：2004-09-16

    Applicant: Mark J. Foster

    Inventor： Mark J. Foster

    IPC: H03D3/22 ,  H04L27/22

    CPC classification number: H04L27/227

    Abstract: Traditional techniques for data reception in burst-mode receivers are of significant complexity. To aid detection, most burst-mode systems transmit a preamble, or predetermined data pattern, at the start of each new block of data. Using current methods, the detection of a new preamble, indicating the arrival of a new burst of data, is particularly complex. A method and apparatus is disclosed that significantly reduces this detection complexity, while maintaining superior signaling performance. This simplification can lead to higher data throughput within processing-limited receivers, and/or a greater degree of parallelism in multiple channel receivers.

    Abstract translation: 在突发模式接收机中用于数据接收的传统技术具有重要的复杂性。 为了帮助检测，大多数突发模式系统在每个新的数据块的开始处发送前导码或预定的数据模式。 使用当前的方法，新的前导码的检测指示新的数据突发是特别复杂的。 公开了一种显着降低该检测复杂性的方法和装置，同时保持优异的信令性能。 这种简化可以导致处理受限接收器内的更高的数据吞吐量和/或多信道接收机中更大程度的并行性。

    Systems and methods for adaptive proper name entity recognition and understanding
    10.
    发明授权
    Systems and methods for adaptive proper name entity recognition and understanding 有权

    公开(公告)号：US12154570B2

    公开(公告)日：2024-11-26

    申请号：US18329787

    申请日：2023-06-06

    Applicant: Promptu Systems Corporation

    Inventor： Harry William Printz

    IPC: G10L15/22 ,  G01C21/36 ,  G06F40/295 ,  G10L15/02 ,  G10L15/16 ,  G10L15/18 ,  G10L15/19 ,  G10L15/32 ,  G06F3/16

    Abstract: Various embodiments contemplate systems and methods for performing automatic speech recognition (ASR) and natural language understanding (NLU) that enable high accuracy recognition and understanding of freely spoken utterances which may contain proper names and similar entities. The proper name entities may contain or be comprised wholly of words that are not present in the vocabularies of these systems as normally constituted. Recognition of the other words in the utterances in question, e.g. words that are not part of the proper name entities, may occur at regular, high recognition accuracy. Various embodiments provide as output not only accurately transcribed running text of the complete utterance, but also a symbolic representation of the meaning of the input, including appropriate symbolic representations of proper name entities, adequate to allow a computer system to respond appropriately to the spoken request without further analysis of the user's input.

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