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Model training method and device, computer equipment and readable storage medium

A model training and model technology, applied in the computer field, can solve problems that affect the performance of translation models, the amount of training translation model data is small, and the translation accuracy of translation models is low.

Pending Publication Date: 2021-01-22
TENCENT TECH (SHENZHEN) CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The translation model is a data-driven task. In order to obtain a translation model with good performance, a large amount of training data is often required for training. However, the existence of noise data in these large-scale training data makes it very difficult to train the machine translation model, which affects translation. model performance
[0003] At present, in order to solve the above problems, it is generally to remove the noise data from a large amount of original training data, and then train the translation model with the remaining original training data after removing the noise data, which leads to a small amount of data for training the translation model. The translation accuracy of the translation model trained on the sample data is low

Method used

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  • Model training method and device, computer equipment and readable storage medium
  • Model training method and device, computer equipment and readable storage medium
  • Model training method and device, computer equipment and readable storage medium

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0030] 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 technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine th...

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Abstract

The embodiment of the invention provides a model training method and device, computer equipment and a readable storage medium, and the method comprises the steps: obtaining an original sample set, training a sample recognition model according to the original sample set, and obtaining an original recognition model, wherein the original sample set comprises a plurality of original samples; calling the original identification model to identify each original sample to obtain an original identification result of each original sample; dividing the original sample set into a target sample set and a first activation sample set according to the original identification result of each original sample; calling an activation model to activate each target sample to obtain a second activation sample set;and training a recognition processing model according to the first activation sample set and the second activation sample set to obtain a target recognition model, so that the translation accuracy ofthe trained translation model is effectively improved while the data volume of the trained translation model can be ensured.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a model training method, device, computer equipment and readable storage medium. Background technique [0002] The translation model is a data-driven task. In order to obtain a translation model with good performance, a large amount of training data is often required for training. However, the existence of noise data in these large-scale training data makes it very difficult to train the machine translation model, which affects translation. model performance. [0003] At present, in order to solve the above problems, it is generally to remove the noise data from a large amount of original training data, and then train the translation model with the remaining original training data after removing the noise data, which leads to a small amount of data for training the translation model. The translation accuracy of the translation model trained on the sample data is ...

Claims

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Application Information

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IPC IPC(8): G06F40/58
CPCG06F40/58
Inventor 王星焦文祥涂兆鹏
Owner TENCENT TECH (SHENZHEN) CO LTD
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