Text segmentation with multiple granularity levels
    1.
    发明授权
    Text segmentation with multiple granularity levels 有权
    具有多个粒度级别的文本分割

    公开(公告)号:US09223779B2

    公开(公告)日:2015-12-29

    申请号:US14514279

    申请日:2014-10-14

    Abstract: Text processing includes: segmenting received text based on a lexicon of smallest semantic units to obtain medium-grained segmentation results; merging the medium-grained segmentation results to obtain coarse-grained segmentation results, the coarse-grained segmentation results having coarser granularity than the medium-grained segmentation results; looking up in the lexicon of smallest semantic units respective search elements that correspond to segments in the medium-grained segmentation results; and forming fine-grained segmentation results based on the respective search elements, the fine-grained segmentation results having finer granularity than the medium-grained segmentation results.

    Abstract translation: 文本处理包括:基于最小语义单元的词典对接收的文本进行分段,以获得中粒度分割结果; 合并中粒度分割结果以获得粗粒度分割结果,粗粒度分割结果具有比中粒度分割结果更粗糙的粒度; 在最小语义单元的词典中查找与中粒度分割结果中的段对应的相应搜索元素; 并且基于相应的搜索元素形成细粒度分割结果,细粒度分割结果具有比中粒度分割结果更精细的粒度。

    TEXT SEGMENTATION WITH MULTIPLE GRANULARITY LEVELS
    3.
    发明申请
    TEXT SEGMENTATION WITH MULTIPLE GRANULARITY LEVELS 审中-公开
    具有多个粒度级别的文本分段

    公开(公告)号:US20150100307A1

    公开(公告)日:2015-04-09

    申请号:US14514279

    申请日:2014-10-14

    Abstract: Text processing includes: segmenting received text based on a lexicon of smallest semantic units to obtain medium-grained segmentation results; merging the medium-grained segmentation results to obtain coarse-grained segmentation results, the coarse-grained segmentation results having coarser granularity than the medium-grained segmentation results; looking up in the lexicon of smallest semantic units respective search elements that correspond to segments in the medium-grained segmentation results; and forming fine-grained segmentation results based on the respective search elements, the fine-grained segmentation results having finer granularity than the medium-grained segmentation results.

    Abstract translation: 文本处理包括:基于最小语义单元的词典对接收的文本进行分段,以获得中粒度分割结果; 合并中粒度分割结果以获得粗粒度分割结果,粗粒度分割结果具有比中粒度分割结果更粗糙的粒度; 在最小语义单元的词典中查找与中粒度分割结果中的段对应的相应搜索元素; 并且基于相应的搜索元素形成细粒度分割结果,细粒度分割结果具有比中粒度分割结果更精细的粒度。

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