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A method and device for translating statements

A sentence and translation technology, applied in the field of translated sentences, can solve problems such as affecting translation results

Active Publication Date: 2019-04-02
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing neural machine translation basically means that the previously translated words will affect the subsequent translation results. If the previous translation is wrong, the subsequent translation will be affected by the previous translation errors.

Method used

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  • A method and device for translating statements
  • A method and device for translating statements
  • A method and device for translating statements

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Embodiment Construction

[0031] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0032] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0033] figure 1 An exemplary system architecture 100 is shown to which embodiments of the method for translating sentences or the apparatus for translating sentences of the present application can be applied.

[0034] like figure 1 As shown, the system architecture 100 may...

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Abstract

The embodiment of the invention discloses a method and device for generating a translation model. A specific embodiment of the method comprises the following steps of: obtaining a target object; the method comprises the following steps of: inputting a training sample into a forward encoder and a forward decoder to obtain a forward translation statement segmentation probability sequence; and inputting the training sample into a reverse encoder and a reverse decoder to obtain a reverse translation statement segmented word probability sequence to determine a total loss value, and adjusting modelparameters of the forward encoder, the forward decoder, the reverse encoder and the reverse decoder when it is determined that the model is not trained until it is determined that the model training is completed. According to the embodiment, the influence of front translation errors on rear translation in the translation process is reduced.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to a method and device for translating sentences. Background technique [0002] At present, neural machine translation is mostly used to realize machine translation. Neural machine translation consists of an encoder and a decoder. The sentence to be translated is input into the encoder for encoding to obtain a semantic vector, and then the decoder decodes the semantic vector to obtain the translation result. Existing encoders and decoders are basically neural networks suitable for processing time-series data. However, the existing neural machine translation basically means that the previously translated words will affect the subsequent translation results. If the previous translation is wrong, the subsequent translation will be affected by the previous translation errors. Contents of the invention [0003] Embodiments of the present application...

Claims

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Application Information

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IPC IPC(8): G06F17/28
CPCG06F40/58
Inventor 毕天驰张传强熊皓何中军李芝王海峰
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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