摘要
随着机器学习技术的发展,目前翻译行业也逐渐引入该技术用来提升翻译效果。文章以实现在线学习为目标,为了学习人员能够在不断纠正过程中进行学习,设计了一套端到端平台,该平台将机器翻译服务器集成到专业翻译人员最常用的用户界面中,实现在机器不断从人的选择中学习并根据特定领域或用户风格调整模型的同时,节省学习人员后期的编辑工作,提升了在线翻译过程中的辅助效果。
With the development of machine learning technology,the translation industry has gradually introduced this technology to improve translation results.This article aims at online learning.In order that the learner can get progress in the process of continuous correction,an end-to-end platform is designed.This platform integrates the machine translation server into the user interface which is commonly used by professional translators.By continuously learning from human choices and adjusting models according to specific fields or user styles,it saves the editing work of the learners in the later stages and improves the auxiliary effect in the online translation process.
作者
胡晓榕
HU Xiaorong(Foreign Language School Xianyang Normal University, Xianyang 712000, China)
出处
《微型电脑应用》
2020年第11期80-81,85,共3页
Microcomputer Applications
基金
咸阳师范学院“青蓝人才”(XSYQL201806)。
关键词
机器学习
翻译行业
端到端平台
翻译模型
machine learning
translation industry
end-to-end platform
translation model
