Non-autoregressive neural machine translation method and device, computer device and medium

A machine translation and autoregressive technology, applied in the field of non-autoregressive neural machine translation, can solve problems such as low translation quality and large search space

Active Publication Date: 2020-02-28
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there is still a certain gap between the translation quality based on NAT technology translation and autoregressive NMT (Neural Machine Translation, neural machine translation) technology. At present, most NAT technologies have the problem of large search space when decodi

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  • Non-autoregressive neural machine translation method and device, computer device and medium
  • Non-autoregressive neural machine translation method and device, computer device and medium

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Embodiment Construction

[0085] The technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative work shall fall within the protection scope of this application.

[0086] The embodiments of the present application provide a non-autoregressive neural machine translation method, device, computer equipment, and computer-readable storage medium. Wherein, the non-autoregressive neural machine translation device may be integrated in a computer device, and the computer device may be a server or a terminal or other equipment.

[0087] The non-autoregressive neural machine translation method provided in the embodiments of the pr...

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Abstract

The embodiment of the invention discloses a non-autoregressive neural machine translation method and device, a computer device and a medium. The method comprises the steps of obtaining a source sentence of a source language and a word vector corresponding to a word in the source sentence; encoding the word vector corresponding to the word to obtain an encoding vector of the concerned context information; determining a to-be-translated sentence according to the source sentence, wherein the to-be-translated sentence comprises a to-be-translated word; according to the word vectors corresponding to the words to be translated and the encoding vectors, reordering the words to be translated in the sentence to be translated according to the structure of a target language to obtain a pseudo-translated sentence; translating the pseudo-translated sentence into a target sentence of the target language according to a word vector corresponding to a to-be-translated word in the pseudo-translated sentence and the encoding vector; outputting the target sentence. The scheme can improve the translation quality.

Description

Technical field [0001] This application relates to the field of artificial intelligence technology, in particular to a non-autoregressive neural machine translation method, device, computer equipment and medium. Background technique [0002] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technology of computer science, which attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. ...

Claims

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Application Information

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IPC IPC(8): G06F40/58G06N20/00
CPCG06N20/00
Inventor 冉邱林衍凯李鹏周杰
Owner TENCENT TECH (SHENZHEN) CO LTD
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