CN-121997948-A - English translation management system based on artificial intelligence

CN121997948ACN 121997948 ACN121997948 ACN 121997948ACN-121997948-A

Abstract

The invention discloses an English translation management system based on artificial intelligence, which comprises a translation corpus acquisition module, a translation confidence interval construction module, a translation quality loss function construction module, a perception constraint coefficient mapping module, a translation result discrimination model construction module, a translation result discrimination model training module and an English translation management module. The invention belongs to the field of translation management, in particular to an artificial intelligence-based English translation management system, which realizes smooth amplitude limiting and sentence pattern grading constraint by designing a translation quality loss function to limit extreme noise leading; all samples are subjected to grading constraint through perception constraint coefficient mapping, wave suppression gradient optimization based on self-adaptive weighted fluctuation degree is realized, the situation that professional low-frequency translation errors obtain larger gradient response and stronger punishment is ensured, the management requirement of large influence of term misinterpretation in professional English translation scenes is met, the discrimination capability of low-frequency professional translation is improved, and further English translation management effect is improved.

Inventors

ZHANG CUI
LIU WEI
YANG HUI
YU WENLIANG
YU YANG
ZHANG ZHIWEI

Assignees

宿州学院

Dates

Publication Date: 20260508
Application Date: 20260210

Claims (7)

1. The English translation management system based on artificial intelligence is characterized by comprising a translation corpus acquisition module, a translation confidence interval construction module, a translation quality loss function construction module, a perception constraint coefficient mapping module, a translation result discrimination model construction module, a translation result discrimination model training module and an English translation management module; The translation corpus acquisition module acquires bilingual parallel corpus, marks translation quality and sentence pattern type labels, and constructs a corpus set; the translation confidence interval construction module constructs a translation confidence interval for characterizing the translation deviation degree; the translation quality loss function construction module is used for designing and distinguishing a translation quality loss function of the low-frequency professional corpus and the high-frequency general corpus; The perception constraint coefficient mapping module maps sentence pattern categories into category hierarchical constraints based on sentence pattern category labels and balance coefficients; the translation result judging model building module designs a four-layer end-to-end architecture based on the corpus set, embeds a translation quality loss function and builds a translation result judging model; The translation result discrimination model training module carries out gradient optimization on the translation result discrimination model to complete model training; and the English translation management module realizes English translation management based on the trained translation result discrimination model.
2. The English translation management system based on artificial intelligence according to claim 1, wherein the translation confidence interval construction module constructs a translation confidence interval representing a deviation degree of a translation result from a standard translation.
3. The English translation management system based on artificial intelligence according to claim 2, wherein the translation quality loss function construction module specifically comprises: a basic smooth frame design is adopted, and any growth loss is smoothly limited; The translation quality loss function is designed, independent constraint intensity is distributed for the low-frequency professional corpus and the high-frequency general corpus, and constraint on low-frequency misinterpretation is strengthened; theoretical constraint construction, and fixed upper loss limit.
4. The English translation management system based on artificial intelligence according to claim 3, wherein the perceptual constraint coefficient mapping module directly maps sentence pattern categories into constraint coefficients to realize category hierarchical constraints applied to all samples.
5. The English translation management system based on artificial intelligence according to claim 4, wherein the translation result discrimination model construction module specifically comprises: The translation result discrimination model comprises a feature layer, a discrimination layer, a loss layer and a constraint optimization layer, wherein the four-layer end-to-end structure is used for receiving source language features and translation features as joint input based on a corpus set, fusing and encoding the bilingual features by the feature layer, extracting source text-translation matching semantic features, and outputting translation quality confidence and sentence type prediction in parallel by the discrimination layer; And constructing an objective function, and directly performing end-to-end control on the translation characteristics and the confidence coefficient in the original characteristic space to obtain a final optimization target of the model.
6. The English translation management system based on artificial intelligence according to claim 5, wherein the translation result discrimination model training module optimizes the translation result discrimination model by adopting adaptive weighted fluctuation degree wave suppression gradient, introduces field type weight, and further completes model training.
7. The system of claim 6, wherein the English translation management module embeds the trained model into a translation management process, calculates a confidence level of translation quality, and makes a class-adaptive translation decision.

Description

English translation management system based on artificial intelligence Technical Field The invention relates to the field of translation management, in particular to an artificial intelligence-based English translation management system. Background The English translation management system refers to a software platform or a technical system for organizing, executing, monitoring and optimizing a cross-language translation process, and aims to improve translation efficiency, consistency and delivery quality. However, the general English translation management system has the problems that the adaptability to professional scenes is poor, the extreme noise reduces the overall discrimination capability, the severity of professional low-frequency translation errors cannot be highlighted, and the translation management reliability is poor, the general English translation management system is tired by a large number of low-quality translation samples, discrimination boundaries are biased to noise, the evaluation accuracy of real translation is affected, and the professional low-frequency translation is valued inadequately, so that the translation management effect is poor. Disclosure of Invention Aiming at the situation, in order to overcome the defects of the prior art, the invention provides an artificial intelligence-based English translation management system, aiming at the fact that the general English translation management system has an unadapted sentence pattern difference, the adaptability to professional scenes is poor; the method comprises the steps of reducing overall discrimination capability by extreme noise, failing to highlight the severity of professional low-frequency translation errors, further causing the problem of poor translation management reliability, supporting differentiated processing of slight deviation and serious errors by defining translation confidence interval quantification deviation degree, realizing smooth limiting and sentence type grading constraint by designing a translation quality loss function, limiting extreme noise leading, realizing that all samples are subjected to grading constraint by sensing constraint coefficient mapping, enabling professional sample constraint weight to be higher, further improving English translation management reliability, aiming at the problem that a large number of low-quality translation samples are tired, discriminating boundary deviation noise influences evaluation accuracy of real translation, professional low-frequency translation attach importance to deficiency, further causing poor translation management effect, and further realizing asymmetric, limited and unbalanced perception by introducing a translation quality loss function and sentence type prediction loss, adapting to complex semantics, ensuring that low-frequency translation errors obtain larger gradient response and stronger gradient, meeting the requirements of management in professional English translation management scenes, and further improving the professional translation management capability. The invention adopts the technical scheme that the English translation management system based on artificial intelligence comprises a translation corpus acquisition module, a translation confidence interval construction module, a translation quality loss function construction module, a perception constraint coefficient mapping module, a translation result discrimination model construction module, a translation result discrimination model training module and an English translation management module; The translation corpus acquisition module acquires bilingual parallel corpus, marks translation quality and sentence pattern type labels, and constructs a corpus set; the translation confidence interval construction module constructs a translation confidence interval for characterizing the translation deviation degree; the translation quality loss function construction module is used for designing and distinguishing a translation quality loss function of the low-frequency professional corpus and the high-frequency general corpus; the perception constraint coefficient mapping module maps sentence pattern categories into category hierarchical constraints based on corpus sets, sentence pattern category labels and balance coefficients; the translation result judging model building module designs a four-layer end-to-end architecture, embeds a translation quality loss function and builds a translation result judging model; The translation result discrimination model training module carries out gradient optimization on the translation result discrimination model to complete model training; and the English translation management module realizes English translation management based on the trained translation result discrimination model. Further, the translation confidence interval construction module constructs a translation confidence interval, and characterizes the deviation degree of a translati