公开(公告)号：US20140012564A1

公开(公告)日：2014-01-09

申请号：US13878082

申请日：2011-07-08

申请人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Hae Chang Rim ,  Joo Young Lee

发明人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Hae Chang Rim ,  Joo Young Lee

IPC分类号： G06F17/28

CPC分类号： G06F17/28 ,  G06F17/271 ,  G06F17/2775 ,  G06F17/2818 ,  G06F17/2827

摘要： Disclosed all an apparatus and a method for constructing a verb phrase translation pattern using a bilingual parallel corpus which recognizes a predicate and an argument using a syntax analysis result and a word alignment result of a source sentence from a plurality of bilingual parallel corpus, extracts a translation pattern candidate and an occurrence frequency using the recognized predicate and argument, and then generates a basic verb phrase translation pattern by verifying the translation pattern candidate, and generalizes the generated basic verb phrase translation pattern to generate a general verb phrase pattern so as to be applied to various language pairs and minimize an error in the verb phrase translation pattern and determine an appropriate generalization level using a co-occurrence frequency of a predicate and an argument of the verb phrase translation pattern and a translation probability of the predicate.

摘要翻译： 公开了使用双语平行语料库构建动词短语翻译模式的所有装置和方法，其使用来自多个双语平行语料库的语言分析结果和源语句的词对齐结果识别谓词和参数，提取 翻译模式候选者和使用识别的谓词和参数的出现频率，然后通过验证翻译模式候选来生成基本的动词短语翻译模式，并且将所生成的基本动词短语翻译模式概括为一般的动词短语模式，以便成为 应用于各种语言对，并使动词短语翻译模式中的错误最小化，并使用动词短语翻译模式的谓词和参数的共现频率以及谓词的翻译概率来确定适当的泛化级别。

公开(公告)号：US08818792B2

公开(公告)日：2014-08-26

申请号：US13878082

申请日：2011-07-08

申请人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Hae Chang Rim ,  Joo Young Lee

发明人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Hae Chang Rim ,  Joo Young Lee

IPC分类号： G06F17/28

CPC分类号： G06F17/28 ,  G06F17/271 ,  G06F17/2775 ,  G06F17/2818 ,  G06F17/2827

摘要： An apparatus and a method for constructing a verb phrase translation pattern using a bilingual parallel corpus. Each of the apparatus or method recognizes a predicate and an argument using a syntax analysis result and a word alignment result of a source sentence from a plurality of bilingual parallel corpus, extracts a translation pattern candidate and an occurrence frequency using the recognized predicate and argument, and then generates a basic verb phrase translation pattern by verifying the translation pattern candidate, and generalizes the generated basic verb phrase translation pattern to generate a general verb phrase pattern so as to be applied to various language pairs and minimize an error in the verb phrase translation pattern and determine an appropriate generalization level using a co-occurrence frequency of a predicate and an argument of the verb phrase translation pattern and a translation probability of the predicate.

摘要翻译： 一种使用双语平行语料库构建动词短语翻译模式的装置和方法。 所述装置或方法中的每一个使用语法分析结果和来自多个双语平行语料库的源语句的单词对齐结果识别谓词和参数，使用所识别的谓词和参数提取翻译模式候选和出现频率， 然后通过验证翻译模式候选来生成基本的动词短语翻译模式，并且将所生成的基本动词短语翻译模式概括为生成一般动词短语模式，以便应用于各种语言对，并使动词短语翻译中的错误最小化 使用动词短语翻译模式的谓词和参数的共现频率以及谓词的翻译概率来确定适当的泛化级别。

公开(公告)号：US20140303955A1

公开(公告)日：2014-10-09

申请号：US13820199

申请日：2011-05-25

申请人： Sang-Bum Kim ,  Chang Hao Yin ,  Young Sook Hwang ,  Hae Chang Rim ,  Hyoung Gyu Lee

发明人： Sang-Bum Kim ,  Chang Hao Yin ,  Young Sook Hwang ,  Hae Chang Rim ,  Hyoung Gyu Lee

IPC分类号： G06F17/28

CPC分类号： G06F17/289 ,  G06F17/2775 ,  G06F17/2818 ,  G06F17/2827

摘要： The present disclosure relates to an apparatus and a method for recognizing an idiomatic expression using phrase alignment of a bilingual parallel corpus, and more particularly, to an apparatus and a method for recognizing an idiomatic expression using phrase alignment of a parallel corpus which extract a candidate idiomatic expression using phrase alignment information of a bilingual parallel corpus and measure an idiomatic expression index for every extracted candidate idiomatic expression to recognize the candidate idiomatic expression as an idiomatic expression to resolve errors in measuring a translational entropy of a word and extracting a representative translated word of the word and improve the accuracy of the idiomatic expression recognition.

摘要翻译： 本公开涉及一种使用双语平行语料库的短语对齐来识别习语表达的装置和方法，更具体地，涉及一种使用提取候选者的平行语料库的短语对齐来识别惯用语言的装置和方法 使用双语平行语料库的短语对齐信息的习语表达，并测量每个提取的候选习语表达式的惯用表达式，以将候选习语表达式识别为惯用语言，以解决测量单词的翻译熵和提取代表性翻译单词时的错误 的字，提高习语表达式的准确性。

公开(公告)号：US10198437B2

公开(公告)日：2019-02-05

申请号：US13883758

申请日：2011-07-20

申请人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Yeon Su Lee ,  Seong Wook Lee ,  Hae Chang Rim

发明人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Yeon Su Lee ,  Seong Wook Lee ,  Hae Chang Rim

IPC分类号： G06F17/28

摘要： The present invention relates to statistical machine translation, and provides a machine translation device and a machine translation method that acquire a creation probability for a target language from a single corpus while extracting respective conversion probabilities by extracting syntax conversion knowledge and word translation knowledge from a parallel corpus, model a weighted translation model by allowing each of the conversion knowledge and each of the probabilities to learn using a translation model learning device, and generate a target sentence through decoding processes of a syntax converter and a word translator by applying the translation model to a source sentence input in real time, thereby resolving disadvantages of the existing phrase-based SMT and syntax-based SMT and combining advantages thereof.

公开(公告)号：US20130226556A1

公开(公告)日：2013-08-29

申请号：US13883758

申请日：2011-07-20

申请人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Yeon Su Lee ,  Seong Wook Lee ,  Hae Chang Rim

发明人： Young Sook Hwang ,  Sang-Bum Kim ,  Chang Hao Yin ,  Yeon Su Lee ,  Seong Wook Lee ,  Hae Chang Rim

IPC分类号： G06F17/28

CPC分类号： G06F17/289 ,  G06F17/2818 ,  G06F17/2872

摘要： The present invention relates to statistical machine translation, and provides a machine translation device and a machine translation method that acquire a creation probability for a target language from a single corpus while extracting respective conversion probabilities by extracting syntax conversion knowledge and word translation knowledge from a parallel corpus, model a weighted translation model by allowing each of the conversion knowledge and each of the probabilities to learn using a translation model learning device, and generate a target sentence through decoding processes of a syntax converter and a word translator by applying the translation model to a source sentence input in real time, thereby resolving disadvantages of the existing phrase-based SMT and syntax-based SMT and combining advantages thereof.

摘要翻译： 本发明涉及统计机器翻译，并且提供一种机器翻译装置和机器翻译方法，其从单个语料库获取目标语言的创建概率，同时通过从并行提取语法转换知识和文字翻译知识来提取相应的转换概率 语料库，通过允许每个转换知识和每个概率学习使用翻译模型学习装置来建模加权翻译模型，并且通过将翻译模型应用于语法转换器和单词翻译器的解码处理来生成目标句子 源语句实时输入，从而解决现有的基于短语的SMT和基于语法的SMT的缺点，并结合其优点。