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Title: US6484136: Language model adaptation via network of similar users
[ Derwent Title ]


Country: US United States of America

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12 pages

 
Inventor: Kanevsky, Dimitri; Ossining, NY
Wolf, Catherine G.; Katonah, NY
Zadrozny, Wlodek W.; Tarrytown, 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: 2002-11-19 / 1999-10-21

Application Number: US1999000422383

IPC Code: Advanced: G06F 17/27; G06F 17/28; G10L 15/22;
IPC-7: G06F 17/27; G10L 15/00;

ECLA Code: G06F17/27R; G06F17/28; S10L15/063C;

U.S. Class: 704/009; 704/255;

Field of Search: 704/001,9,10,255,257,275,277

Priority Number:
1999-10-21  US1999000422383

Abstract:     A language recognition system, method and program product for recognizing language based input from computer users on a network of connected computers. Each computer includes at least one user based language model trained for a corresponding user for automatic speech recognition, handwriting recognition, machine translation, gesture recognition or other similar actions that require interpretation of user activities. Network computer users are clustered into classes of similar users according to user similarities such as, nationality, profession, sex, age, etc. User characteristics are collected by sensors and from databases and, then, distributed over the network during user activities. Language models with similarities among similar users on the network are identified. The language models include a language model domain, with similar language models being clustered according to their domains. Language models identified as similar are modified in response to user production activities. After modification of one language model, other identified similar language models are compared and adapted. Also, user data, including information about user activities and language model data, is transmitted over the network to other similar users. Language models are adapted only in response to similar user activities, when these activities are recorded and transmitted over the network. Language models are given a global context based on similar users that are connected together over the network.

Attorney, Agent or Firm: Percello, Louis J. ; Peterson, Jr., Charles W. ;

Primary / Asst. Examiners: Edouard, Patrick N.;

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 35 claims
We Claim:     1. A language recognition system for recognizing language based input from computers connected together over a network, each computer including at least one user based language model trained for a particular user, said system comprising:
  • means for clusterng language models located on ones of a network of computers into classes according to similar users;
  • means for identifying similar language models among said clustered language models;
  • means for modifying said language models responsive to user production activities;
  • means for comparing identified similar language models and adapting all of said identified similar language models responsive to modification of one or more of said similar language models; and
  • means for transmitting user data over said network, said user data including information about said user production activities and user language model data.


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Forward References: Show 31 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (31)   |   Backward references (14)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
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Foreign References: None

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