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Title: US6092034: Statistical translation system and method for fast sense disambiguation and translation of large corpora using fertility models and sense models
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Country: US United States of America

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10 pages

 
Inventor: McCarley, Jeffrey Scott; Bedford Hills, NY
Roukos, Salim; Scarsdale, NY

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: 2000-07-18 / 1998-07-27

Application Number: US1998000123166

IPC Code: Advanced: G06F 17/27; G06F 17/28;
Core: more...
IPC-7: G06F 17/28;

ECLA Code: G06F17/27T;

U.S. Class: Current: 704/002; 704/004; 704/009; 704/277;
Original: 704/002; 704/004; 704/009; 704/277;

Field of Search: 704/009,2,3,4,7,1,8,10,277,251,255,257 711/001 707/530,531,532

Government Interest:     The U.S. Government has a paid-up license in this invention and the right in limited circumstances to require the patent owner to license others on reasonable terms as provided for by the terms of Grant No. 70NANB5H1174 awarded by the National Institute of Standards and Technology (NIST).

Priority Number:
1998-07-27  US1998000123166

Abstract:     A system and method for translating a series of source words in a first language to a series of target words in a second language is provided. The system includes an input device for inputting the series of source words. A fertility hypothesis generator operatively coupled to the input device generates at least one fertility hypotheses for a fertility of a source word, based on the source word and a context of the source word. A sense hypothesis generator operatively coupled to the input device generates sense hypotheses for a translation of the source word, based on the source word and the context of the source word. A fertility model operatively coupled to the fertility hypothesis generator determines a probability of the fertility of the source word, based on the source word and the context of the source word. A sense model operatively coupled to the sense hypothesis generator determines a probability of a target word being a correct translation of the source word, based on the source word and the context of the source word. A decoder operatively coupled to the fertility and sense models for generating a list of target words for the translation of the source word, based on the probability calculated by the fertility model and the probability calculated by the sense model.

Attorney, Agent or Firm: F. Chau & Associates, LLP ;

Primary / Asst. Examiners: Thomas, Joseph;

Maintenance Status: E1 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 37 claims
What is claimed is:     1. A system for translating a series of source words in a first language to a series of target words in a second language, comprising:
  • input means for inputting the series of source words;
  • a fertility hypothesis generator operatively coupled to said input means for generating at least one fertility hypotheses for a fertility of a source word, based on the source word and a context of the source word;
  • a sense hypothesis generator operatively coupled to said input means for generating sense hypotheses for a translation of the source word, based on the source word and the context of the source word;
  • a fertility model operatively coupled to said fertility hypothesis generator for determining a probability of the fertility of the source word, based on the source word and the context of the source word;
  • a sense model operatively coupled to said sense hypothesis generator for determining a probability of a target word being a correct translation of the source word, based on the source word and the context of the source word; and
  • a decoder operatively coupled to said fertility and sense models for generating a list of target words for the translation of the source word, based on the probability calculated by said fertility model and the probability calculated by said sense model.


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Forward References: Show 59 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (59)   |   Backward references (5)   |   Citation Link

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PDF
Patent  Pub.Date  Inventor Assignee   Title
Get PDF - 111pp US5477451  1995-12 Brown et al.  International Business Machines Corp. Method and system for natural language translation
Get PDF - 75pp US5510981  1996-04 Berger et al.  International Business Machines Corporation Language translation apparatus and method using context-based translation models
Get PDF - 106pp US5768603  1998-06 Brown et al.  International Business Machines Corporation Method and system for natural language translation
Get PDF - 104pp US5805832  1998-09 Brown et al.  International Business Machines Corporation System for parametric text to text language translation
Get PDF - 6pp US5987404  1999-11 Della Pietra et al.  International Business Machines Corporation Statistical natural language understanding using hidden clumpings
       
Foreign References:
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Publication Date IPC Code Assignee   Title
Get PDF - 161pp EP0525470A2 1993-02  G06F 15/38 INTERNATIONAL BUSINESS MACHINES CORPORATION Method and system for natural language translation 


Other Abstract Info: DERABS G2000-637168 DERABS G2000-637168

Other References:
  • Brown et al., "The Mathematics of Statistical Machine Translation: Parameter Estimation", Computational Linguistics, vol. 19, No. 2, pp. 263-311, 1993.
  • Brown et al., "Aligning Sentences in Parallel Corpora", Proceedings, 29th Annual Meeting of the Association for Computational Linguistics, pp. 169-176, Jun. 1991.
  • Bahl et al., "A Maximum Likelihood Approach to Continuous Speech Recognition", IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. PAMI-5, No. 2, pp. 179-187, Mar. 1983.
  • Berger et al., "A Maximum Entropy Approach to Natural Language Processing", Computational Linguistics, vol. 22, No. 1, pp. 39-71, 1996.
  • Della Pietra et al., "Inducing Features of Random Fields", IEEE Transactions Pattern Analysis and Machine Intelligence, vol. 19, No. 4, Apr. 1997.
  • Hackett et al., "Document Translation for Cross-Language Text Retrieval at the University of Maryland", The 6th Text REtrieval Conference (TREC-6), ed. by E.M. Voorhees and D.K. Harman.


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