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Perceptual associative memory for a neuro-linguistic behavior recognition system

机译:神经语言行为识别系统的知觉联想记忆

摘要

Techniques are disclosed for generating a syntax for a neuro-linguistic model of input data obtained from one or more sources. A stream of words of a dictionary built from a sequence of symbols are received. The symbols are generated from an ordered stream of normalized vectors generated from input data. Statistics for combinations of words co-occurring in the stream are evaluated. The statistics includes a frequency upon which the combinations of words co-occur. A model of combinations of words based on the evaluated statistics is updated. The model identifies statistically relevant words. A connected graph is generated. Each node in the connected graph represents one of the words in the stream. Edges connecting the nodes represent a probabilistic relationship between words in the stream. Phrases are identified based on the connected graph.
机译:公开了用于生成用于从一个或多个源获得的输入数据的神经语言模型的语法的技术。接收由一系列符号构成的字典中的单词流。这些符号是根据从输入数据生成的归一化矢量的有序流生成的。评估流中同时出现的单词组合的统计信息。统计数据包括单词组合同时出现的频率。基于评估的统计数据的单词组合模型将更新。该模型识别统计上相关的单词。生成连接图。连接图中的每个节点代表流中的单词之一。连接节点的边表示流中单词之间的概率关系。根据连接的图来识别短语。

著录项

  • 公开/公告号US10409910B2

    专利类型

  • 公开/公告日2019-09-10

    原文格式PDF

  • 申请/专利权人 OMNI AI INC.;

    申请/专利号US201414569161

  • 申请日2014-12-12

  • 分类号G06F17/21;G06F17/27;G10L15;G10L15/06;G06F17/28;

  • 国家 US

  • 入库时间 2022-08-21 12:12:01

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