论文标题
用opus-mt使神经机器翻译民主化
Democratizing Neural Machine Translation with OPUS-MT
论文作者
论文摘要
本文介绍了Opus生态系统，重点关注开放机器翻译模型和工具的开发，以及它们集成到最终用户应用程序，开发平台和专业工作流程中。我们讨论了我们正在进行的提高语言覆盖范围和翻译质量的任务，并描述了关于开发模块化翻译模型和速度优化的紧凑型解决方案的持续工作，以实时翻译常规台式机和小型设备。
This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows. We discuss our on-going mission of increasing language coverage and translation quality, and also describe on-going work on the development of modular translation models and speed-optimized compact solutions for real-time translation on regular desktops and small devices.
