Data processing: speech signal processing – linguistics – language – Linguistics – Translation machine
Reexamination Certificate
2010-07-23
2011-12-06
Sked, Matthew (Department: 2626)
Data processing: speech signal processing, linguistics, language
Linguistics
Translation machine
C704S001000, C704S008000
Reexamination Certificate
active
08073679
ABSTRACT:
A set of candidate parallel pages is identified based on trigger words in one or more pages downloaded from a given network location (such as a website). A set of document trees representing each of the candidate pages are aligned to identify translationally parallel content and hyperlinks. The parallel content is further fed into conventional sentence aligner for parallel sentences. And the parallel hyperlinks usually refer to other parallel documents, and lead to a recursive mining of parallel documents.
REFERENCES:
patent: 5893134 (1999-04-01), O'Donoghue et al.
patent: 6236958 (2001-05-01), Lange et al.
patent: 6519580 (2003-02-01), Johnson et al.
patent: 6812941 (2004-11-01), Brown et al.
patent: 6862566 (2005-03-01), Wakita et al.
patent: 7146358 (2006-12-01), Gravano et al.
patent: 2002/0162000 (2002-10-01), Benzler
patent: 2003/0233542 (2003-12-01), Benaloh
patent: 2004/0230418 (2004-11-01), Kitamura
patent: 2005/0108726 (2005-05-01), Need et al.
patent: 2005/0144147 (2005-06-01), Lee et al.
patent: 2005/0228643 (2005-10-01), Munteanu et al.
patent: 2005/0273317 (2005-12-01), Brill et al.
patent: 2006/0005250 (2006-01-01), Chu et al.
patent: 2006/0026438 (2006-02-01), Stern et al.
patent: 2006/0031686 (2006-02-01), Atallah
patent: 2006/0053307 (2006-03-01), Xu et al.
patent: 2007/0091790 (2007-04-01), Passey et al.
patent: 2007/0250306 (2007-10-01), Marcu et al.
Shi, Lei and Niu, Cheng and Zhou, Ming and Gao, Jianfeng, “A DOM Tree Alignment Model for Mining Parallel Data from the Web,” Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Jul. 2006.
Daniel Gildea, “Loosely tree-based alignment for machine translation,” ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics—vol. 1.
Brooke Cowan, Ivona Kucerova, Michael Collins, “A Discriminative Model for Tree-to-Tree Translation,” In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) (2006).
U.S. Appl. No. 11/483,941, filed Jul. 10, 2006.
Demuth et al., T.; “Evaluation of Mutational Capability and Real-Time Applicability of Obfuscation Techniques,” Fern Universitat Hagen Germany, 9 pgs. 2006.
Sosonkin et al., M.; “Obfuscation of Design Intent in Object-Oriented Applications,” Polytecnic University, New York, pp. 142-153.2003.
Kiyomoto et al., S.; Evaluation of Mutational Capability and Real-Time Applicability of Obfuscation Techniques, EICE Transactions on Fundamentals of Electronics, Communications, and Computer Sciences, 2 pgs. 2006.
“Automatically Determining an Anonymous Author's Native Language,” Abstract Only. Conference Title : Intelligence and Security Informatics: IEEE International Conference on Intelligence and Security Informatics, ISI 2005, Atlanta, GA USA May 19-20, 2005, 2 pgs.
Meyers et al., Alignment of Shared Forests for Bilingual Corpora, 1996. Proceedings of the 16th Conference, pp. 460-465.
PCT/US2007/015210 International Search Report and Written Opinion, dated Jun. 28, 2007.
Official Action dated Feb. 4, 2009 in related U.S. Appl. No. 11/483,941, filed Jul. 10, 2006.
Ballim et al.; “The use of Automatic Alignment on Structured Multilingual Documents,” 1998, Springer Berlin/Heidelberg, V. 1375/1998, pp. 464-475.
Official Action dated Jul. 10, 2009 in related U.S. Appl. No. 11/483,941, filed Jul. 10, 2006.
Official Action dated Jan. 11, 2010 in related U.S. Appl. No. 11/483,941, filed Jul. 10, 2006.
Notice of Allowance dated May 24, 2010 in related U.S. Appl. No. 11/483,941, filed Jul. 10, 2006.
Niu Cheng
Shi Lei
Zhou Ming
Microsoft Corporation
Sked Matthew
Westman Champlin & Kelly P.A.
LandOfFree
Aligning hierarchial and sequential document trees to... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Aligning hierarchial and sequential document trees to..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Aligning hierarchial and sequential document trees to... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4315045