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
- HONG KONG ACADEMY OF SOCIAL SCIENCES
- 亚洲学术论坛
- Vol.1 No.1
- 2024.07
- 16 - 21 (6 pages)
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.
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。
一、引言
二、神经网络机器翻译介绍
三、神经网络机翻译在跨境电商中的应用
四、应用案例分析
五、结论与展望
参考文献