Invention Grant
US08606559B2 Method and apparatus for detecting errors in machine translation using parallel corpus
有权
使用平行语料库检测机器翻译误差的方法和装置
- Patent Title: Method and apparatus for detecting errors in machine translation using parallel corpus
- Patent Title (中): 使用平行语料库检测机器翻译误差的方法和装置
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Application No.: US12492726Application Date: 2009-06-26
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Publication No.: US08606559B2Publication Date: 2013-12-10
- Inventor: Yun Jin , Oh Woog Kwon , Ying Shun Wu , Changhao Yin , Sung Kwon Choi , Chang Hyun Kim , Seong Il Yang , Ki Young Lee , Yoon Hyung Roh , Young Ao Seo , Eun Jin Park , Young Kii Kim , Sang Kyu Park
- Applicant: Yun Jin , Oh Woog Kwon , Ying Shun Wu , Changhao Yin , Sung Kwon Choi , Chang Hyun Kim , Seong Il Yang , Ki Young Lee , Yoon Hyung Roh , Young Ao Seo , Eun Jin Park , Young Kii Kim , Sang Kyu Park
- Applicant Address: KR Daejeon
- Assignee: Electronics and Telecommunications Research Institute
- Current Assignee: Electronics and Telecommunications Research Institute
- Current Assignee Address: KR Daejeon
- Agency: Staas & Halsey LLP
- Priority: KR10-2008-0090595 20080916
- Main IPC: G06F17/28
- IPC: G06F17/28 ; G06F17/20

Abstract:
A method for automatically detecting errors in machine translation using a parallel corpus includes analyzing morphemes of a target language sentence in the parallel corpus and a machine-translated target language sentence, corresponding to a source language sentence, to classify the morphemes into words; aligning by words and decoding, respectively, a group of the source language sentence and the machine-translated target language sentence, and a group of the source language sentence and the target language sentence in the parallel corpus; classifying by types errors in the machine-translated target language sentence by making a comparison, word by word, between the decoded target language sentence in the parallel corpus and the decoded machine-translated target language sentence; and computing error information in the machine-translated target language sentence by examining a frequency of occurrence of the classified error types.
Public/Granted literature
- US20100070261A1 METHOD AND APPARATUS FOR DETECTING ERRORS IN MACHINE TRANSLATION USING PARALLEL CORPUS Public/Granted day:2010-03-18
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