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System and methods for maintaining speech-to-speech translation in the field

A speech translation and language translation technology, applied in natural language translation, speech analysis, speech recognition, etc., can solve problems such as impractical user access, unused user access, and surprisingly complex translation system

Active Publication Date: 2011-06-01
META PLATFORMS INC
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Unfortunately, translation systems are often so complex that user access is either impractical or not used

Method used

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  • System and methods for maintaining speech-to-speech translation in the field
  • System and methods for maintaining speech-to-speech translation in the field
  • System and methods for maintaining speech-to-speech translation in the field

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Embodiment Construction

[0031] Various embodiments of the invention illustrate speech-to-speech translation methods and systems. Embodiments may be used to adapt to a user's voice and speaking style through model adaptation. In further embodiments, the user is able to correct recognition errors and the system is able to learn from the errors corrected by the user, thereby making it less likely that these errors will reoccur in the future. The present invention enables the user to customize the vocabulary to his or her individual needs and circumstances by either adding new words to the system, or selecting a predetermined dictionary optimized for a particular location or task. When adding new words, the multi-modal interface allows users to correct and verify automatically generated translations and pronunciations. This also allows the user to add new words to the system when the user does not know another language. In one embodiment, the system is also configured to communicate any new vocabulary ...

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Abstract

A method and apparatus are provided for updating the vocabulary of a speech translation system for translating a first language into a second language including written and spoken words. The method includes adding a new word in the first language to a first recognition lexicon of the first language and associating a description with the new word, wherein the description contains pronunciation and word class information. The new word and description are then updated in a first machine translation module associated with the first language. The first machine translation module contains a first tagging module, a first translation model and a first language module, and is configured to translate the new word to a corresponding translated word in the second language. Optionally, the invention may be used for bidirectional or multi-directional translation.

Description

[0001] Cross references to related applications: [0002] This application claims U.S. Provisional Application No. 61 / 045,079, filed April 15, 2008, U.S. Provisional Application No. 61 / 092,581, filed August 28, 2008, U.S. Provisional Application No. 61 / 092,581, filed September 3, 2008 Priority of .61 / 093,898. technical field [0003] The present invention relates to a speech-to-speech translation system for cross-lingual communication, more specifically, to a method and device for on-site maintenance, the method and device enable users to add new entries, and improve and modify them on the spot The content and use of the system does not require language or technical knowledge or expertise. Background technique [0004] Automatic speech recognition (ASR) and machine translation (MT) technologies have matured to the point where they can be used to develop practical speech translation systems on laptops or mobile devices for both constrained and non-restricted domains. In par...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/18G06F17/28G10L15/06G10L15/183
CPCG10L15/00G06F17/28G10L15/22G10L15/1815G10L15/063G06F17/2809G06F17/2735G10L15/183G06F17/2818G06F40/242G06F40/40G06F40/44G10L13/00G10L15/26
Inventor I·R·莱恩A·魏贝尔
Owner META PLATFORMS INC
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