Data processing: speech signal processing – linguistics – language – Linguistics – Translation machine
Reexamination Certificate
2011-06-07
2011-06-07
Wozniak, James S (Department: 2626)
Data processing: speech signal processing, linguistics, language
Linguistics
Translation machine
C704S001000, C704S003000, C704S004000, C704S005000
Reexamination Certificate
active
07957953
ABSTRACT:
A weighted linear word alignment model linearly combines weighted features to score a word alignment for a bilingual, aligned pair of text fragments. The features are each weighted by a feature weight. One of the features is a word association metric, which may be generated from surface statistics.
REFERENCES:
patent: 5907821 (1999-05-01), Kaji et al.
patent: 6236958 (2001-05-01), Lange et al.
patent: 7680647 (2010-03-01), Moore
patent: 2002/0107683 (2002-08-01), Eisele
patent: 2002/0198701 (2002-12-01), Moore
patent: 2003/0061023 (2003-03-01), Menezes et al.
patent: 2003/0204400 (2003-10-01), Marcu et al.
patent: 2004/0044530 (2004-03-01), Moore
patent: 2004/0098247 (2004-05-01), Moore
patent: 2005/0038643 (2005-02-01), Koehn
patent: 2005/0216253 (2005-09-01), Brockett
patent: 2006/0190241 (2006-08-01), Goutte et al.
patent: 2006/0287847 (2006-12-01), Moore
patent: 2008/0109209 (2008-05-01), Fraser et al.
patent: 1020000019194 (2000-04-01), None
patent: 1020040018008 (2004-03-01), None
patent: 1020010094627 (2010-05-01), None
patent: 0033211 (2000-06-01), None
Collins, M. 2002. Discriminative training methods for hidden Markov models: theory and experiments with perceptron algorithms. In Proceedings of the Acl-02 Conference on Empirical Methods in Natural Language Processing—vol. 10 Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 1-8.
Gildea, D. 2003. Loosely tree-based alignment for machine translation. In Proceedings of the 41st Annual Meeting on Association for Computational Linguistics—vol. 1 (Sapporo, Japan, Jul. 7-12, 2003). Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 80-87. DOI=http://dx.doi.org/10.3115/1075096.1075107.
Young-Sook Hwang, Taro Watanabe, Yutaka Sasaki. Empirical Study of Utilizing Morph-Syntactic Information in SMT. Lecture Notes in Computer Science. vol. 3651/2005. 474-485. Tuesday, Sep. 27, 2005.
Sonja Nieβen. Improving Statistical Machine Translation using Morpho-syntactic Information. Doctoral thesis for Rheinisch-Westfaelischen Technischen Hochschule. Computational lingustics. Jun. 2004, vol. 30, No. 2, pp. 181-204.
Och, F. J. and Ney, H. 2002. Discriminative training and maximum entropy models for statistical machine translation. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (Philadelphia, Pennsylvania, Jul. 7-12, 2002). Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 295-302. D.
Och, F. J. and Ney, H. 2004. The Alignment Template Approach to Statistical Machine Translation. Comput. Linguist. 30, 4 (Dec. 2004), 417-449. DOI=http://dx.doi.org/10.1162/0891201042544884.
Nieβen, S. and Ney, H. 2004. Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information. Comput. Linguist. 30, 2 (Jun. 2004), 181-204. DOI=http://dx.doi.org/10.1162/089120104323093285.
Peter F. Brown et al., 1993. The Mathematics of Statistical Machine Translation: Parameter Estimation. Computational Linguistics, 19(2):263-311.
Colin Cherry et al., 2003. A Probability Model to Improve Word Alignment. In Proceedings of the 41stMeeting of the Association for Computational Linguistics, pp. 88-95, Sapporo, Japan.
Michael Collins, 2002. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perception Algorithms. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) pp. 1-8, Philadelphia, Pennsylvania.
Rada Mihalcea et al., 2003. An Evaluation Exercise-for Word Alignment. In Proceedings of the HLT-NAACL 2003 Workshop, Building and Using Parallel Texts: Data Driven Machine Translation and Beyond, pp. 1-6, Edmonton, Alberta Canada.
Robert C. Moore 2004. On Log-Likelihood-Ratios and the Significance of Rare Events. In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 333-340, Barcelona, Spain.
PCT Search Report, PCT/US2006/037562 mailed Feb. 15, 2007.
Ted Dunning. 1993. Accurate Methods for Statistics of Surprise and Coincidence. Computation Linguistics, 19(1):61-74.
William A. Gale et al., 1991. Identifying Word Correspondences in Parallel Texts. In Proceedings of the Speech and Natural Language Workshop, pp. 152-157, Pacific Grove, CA.
Philipp Koehn et al., 2003. Statistical Phrase-Based Transplantation. In Proceedings HTL-NAACL 2003), pp. 127-133, Edmonton, Alberta, Canada.
I. Dan Melamed. 1998. Models of Co-occurrences. University of Pennsylvania, IRCS Tech. Report #98-05.
I. Dan Melamed. 2000. Models of Transnational Equivalence. Computational Linguistics 26(2):221-249.
Rada Mihalcdea et al. 2003. An Evaluation Exercise of Word Alignment. In Proceedings (HLT-NAACL) 2003 Workshop Building and Using Parallel Texts: Data Driven Machine Translation and Beyond, pp. 1-6, Edmonton, Alberta Canada.
Robert C. Moore. 2004. On Log-Likelihood Ratios and the Significance of Rare Events. In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 333-340, Barcelona, Spain.
Franz Joseph Och et al., 2003. A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics, 29(1):19-51.
Ioannis Tsochnantaridis et al. 2005, Large Margin Methods for Structured and Interdependent Output Variables. Journal of Machine Learning Research (JMLR) pp. 1453-1484.
Baker Matthew H
Kelly Joseph R.
Microsoft Corporation
Westman Champlin & Kelly P.A.
Wozniak James S
LandOfFree
Weighted linear bilingual word alignment model does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Weighted linear bilingual word alignment model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Weighted linear bilingual word alignment model will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2662149