跨境电商背景下神经网络机器翻译质量比较分析——基于亚马逊与阿里巴巴平台的案例研究  

Comparative analysis of neural network machine translation quality in the context of cross-border e-commerce——Case studies based on Amazon and Alibaba platforms

作　　者：周小童 Xiaotong Zhou(Chengdu International Studies University,Chengdu,Sichuan,611844)

机构地区：[1]成都外国语学院,四川成都611844

出　　处：《亚洲学术论坛》2024年第1期16-21,共6页

摘　　要：本研究聚焦于亚马逊和阿里巴巴两大平台,深入探讨跨境电子商务背景中神经网络机器翻译系统的表现。研究还探讨了目前神经网络机翻在处理多模态信息时遇到的挑战,进一步揭示在多模态电子商务环境中实现准确翻译所面临的复杂性。本文希望随着电子商务的全球化发展,未来的翻译技术特别是生成式人工智能不断发展,更好地服务于跨境交易和全球消费者。This study focuses on two major platforms,Amazon and Alibaba,and explores the performance of neural network machine translation system in the context of cross-border e-commerce.This study also explores the current challenges faced by neural networks in processing multimodal information,further revealing the complexity of achieving accurate translation in multimodal e-commerce environments.It is hoped that with the globalization of e-commerce,future translation technologies,especially generative artificial intelligence,will continue to develop and better serve cross-border transactions and global consumers.

关 键 词：跨境电商 翻译技术 神经网络翻译 

分 类 号：F72[经济管理—产业经济]