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Individualized machine translation system, method and translation model training method

A translation model, bilingual technology, applied in the field of machine translation

Active Publication Date: 2012-11-21
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a personalized machine translation system to solve the defect that the existing machine translation system cannot provide translation results that meet the user's translation preferences for the same information to be translated input by different users

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  • Individualized machine translation system, method and translation model training method
  • Individualized machine translation system, method and translation model training method

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Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] At present, the main statistical machine translation methods can be roughly divided into the following three types: statistical translation methods based on words, statistical translation methods based on phrases, and statistical translation methods based on syntax. For convenience, the embodiments described below are all based on phrases. The statistical translation method is taken as an example, but the idea of ​​the present invention is also applicable to other statistical translation methods, and will not be repeated below.

[0048] Please refer to image 3 , image 3 It is a schematic structural block diagram of Embodiment 1 of the personalized machine translation system in the embodiment of the present invention. The so-called perso...

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Abstract

The invention provides an individualized machine translation system, a method and a translation model training method. The system comprises a first input module, a first training module, a universal translation model, a second input module, a second training module, a user translation model, a user identification module, a third input module and a translation module, wherein the universal translation model is used for describing the translation probability of source language sentences without translation preferences of users to target language sentences; the user translation model is used for describing the translation probability of source language sentences with translation preferences of the users to target language sentences; and the translation module is used for translating the information to be translated through the universal translation model and the matched user translation model so as to obtain a translation result. Aiming at identical information input by different users, the translation system can give translation results according to the translation preferences of the users.

Description

【Technical field】 [0001] The invention relates to the field of machine translation, in particular to a personalized machine translation system, method and method for training a translation model. 【Background technique】 [0002] Machine translation systems can be divided into rule-based (Rule-Based) and corpus-based (Corpus-Based) two categories. The former consists of manually organized dictionaries and rule bases as knowledge sources, while the latter consists of corpora as knowledge sources, neither dictionaries nor rules are required, and statistical laws are the mainstay. [0003] In corpus-based machine translation, it is mainly divided into instance-based machine translation and statistical-based machine translation, among which statistical-based machine translation has become a research hotspot in the field of machine translation due to its excellent performance. [0004] The machine translation method based on statistics regards machine translation as a process of i...

Claims

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Application Information

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IPC IPC(8): G06F17/28
Inventor 胡晓光吴华
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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