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    • 36. 发明申请
    • METHODS AND SYSTEMS TO TRAVERSE GRAPH-BASED NETWORKS
    • 基于图表的网络的方法和系统
    • US20140156274A1
    • 2014-06-05
    • US13925150
    • 2013-06-24
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • G10L15/06G10L15/02
    • G10L15/063G06N7/005G10L15/02G10L15/083G10L15/19G10L15/34
    • Methods and systems to translate input labels of arcs of a network, corresponding to a sequence of states of the network, to a list of output grammar elements of the arcs, corresponding to a sequence of grammar elements. The network may include a plurality of speech recognition models combined with a weighted finite state machine transducer (WFST). Traversal may include active arc traversal, and may include active arc propagation. Arcs may be processed in parallel, including arcs originating from multiple source states and directed to a common destination state. Self-loops associated with states may be modeled within outgoing arcs of the states, which may reduce synchronization operations. Tasks may be ordered with respect to cache-data locality to associate tasks with processing threads based at least in part on whether another task associated with a corresponding data object was previously assigned to the thread.
    • 将对应于网络状态序列的网络的弧的输入标签转换成对应于语法元素序列的弧的输出语法元素的列表的方法和系统。 网络可以包括与加权的有限状态机换能器(WFST)组合的多个语音识别模型。 遍历可能包括有效的电弧遍历,并且可能包括有效的电弧传播。 弧可以并行处理,包括源自多个源状态并被引导到公共目的地状态的弧。 与状态相关联的自环可以在状态的输出弧内被建模,这可以减少同步操作。 至少部分地基于是否将与对应的数据对象相关联的另一个任务先前分配给线程,可以针对高速缓存数据位置命令任务来将任务与处理线程相关联。
    • 38. 发明申请
    • METHODS AND SYSTEMS TO TRAVERSE GRAPH-BASED NETWORKS
    • 基于图表的网络的方法和系统
    • US20110145184A1
    • 2011-06-16
    • US12637228
    • 2009-12-14
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • Kisun YouChristopher J. HughesYen-Kuang Chen
    • G06N5/04G06N5/02
    • G10L15/063G10L15/02G10L15/083G10L15/19G10L15/34
    • Methods and systems to translate input labels of arcs of a network, corresponding to a sequence of states of the network, to a list of output grammar elements of the arcs, corresponding to a sequence of grammar elements. The network may include a plurality of speech recognition models combined with a weighted finite state machine transducer (WFST). Traversal may include active arc traversal, and may include active arc propagation. Arcs may be processed in parallel, including arcs originating from multiple source states and directed to a common destination state. Self-loops associated with states may be modeled within outgoing arcs of the states, which may reduce synchronization operations. Tasks may be ordered with respect to cache-data locality to associate tasks with processing threads based at least in part on whether another task associated with a corresponding data object was previously assigned to the thread.
    • 将对应于网络状态序列的网络的弧的输入标签转换成对应于语法元素序列的弧的输出语法元素的列表的方法和系统。 网络可以包括与加权的有限状态机换能器(WFST)组合的多个语音识别模型。 遍历可能包括有效的电弧遍历,并且可能包括有效的电弧传播。 弧可以并行处理,包括源自多个源状态并被引导到公共目的地状态的弧。 与状态相关联的自环可以在状态的输出弧内被建模,这可以减少同步操作。 至少部分地基于是否将与对应的数据对象相关联的另一个任务先前分配给线程,可以针对高速缓存数据位置命令任务来将任务与处理线程相关联。