公开(公告)号：US09620112B2

公开(公告)日：2017-04-11

申请号：US14399765

申请日：2013-08-30

申请人： SK PLANET CO., LTD.

发明人： Young Sook Hwang ,  Chang Hao Yin

IPC分类号： G10L15/00 ,  G10L15/19 ,  G06F17/27 ,  G10L15/14

CPC分类号： G10L15/19 ,  G06F17/27 ,  G06F17/271 ,  G06F17/2775 ,  G10L15/14

摘要： The present disclosure relates to a syntax parsing apparatus based on syntax preprocessing and a method thereof. In specific, the present disclosure parses syntaxes that can be parsed by rules and patterns without ambiguity by syntax parsing preprocessing, draws all possible syntax parsing results by applying syntax rules based on a result of syntax parsing preprocessing in which ambiguity is partially resolved, and resolves structural ambiguity by applying a statistic syntax parsing model learned from a syntax tree attachment learning corpus so as to reduce ambiguity in rule-based syntax parsing and to resolve ambiguity by a statistics-based scheme so that parsing correctness and processing efficiency in a syntax parsing method can be enhanced.

公开(公告)号：US09971757B2

公开(公告)日：2018-05-15

申请号：US15445333

申请日：2017-02-28

申请人： SK PLANET CO., LTD.

发明人： Young Sook Hwang ,  Chang Hao Yin

IPC分类号： G06F17/27

CPC分类号： G10L15/19 ,  G06F17/27 ,  G06F17/271 ,  G06F17/2775 ,  G10L15/14

摘要： The present disclosure relates to a syntax parsing apparatus based on syntax preprocessing and a method thereof. In specific, the present disclosure parses syntaxes that can be parsed by rules and patterns without ambiguity by syntax parsing preprocessing, draws all possible syntax parsing results by applying syntax rules based on a result of syntax parsing preprocessing in which ambiguity is partially resolved, and resolves structural ambiguity by applying a statistic syntax parsing model learned from a syntax tree attachment learning corpus so as to reduce ambiguity in rule-based syntax parsing and to resolve ambiguity by a statistics-based scheme so that parsing correctness and processing efficiency in a syntax parsing method can be enhanced.

公开(公告)号：US20180314690A1

公开(公告)日：2018-11-01

申请号：US15968078

申请日：2018-05-01

申请人： SK Planet Co., Ltd.

发明人： Young Sook Hwang ,  Sang-Bum Kim ,  Shouxun Lin ,  Zhaopeng Tu ,  Yang Liu ,  Qun Liu ,  Chang Hao Yin

IPC分类号： G06F17/28 ,  G06F17/27

CPC分类号： G06F17/2872 ,  G06F17/271 ,  G06F17/2818

摘要： The present invention relates to the use of a plurality of dependency trees in tree-based statistical machine translation and proposes a dependency forest to effectively process the plurality of dependency trees. The present invention can improve a translation capability by generating a translation rule and a dependency language model by using the dependency forest and applying the generated translation rule and dependency language model when a source language text is converted to a target language text.