首页> 外文会议>Workshop on Asian translation >Invited talk: Turning NMT Research into Commercial Products
【24h】

Invited talk: Turning NMT Research into Commercial Products

机译:邀请谈话:将NMT研究转向商业产品

获取原文
获取外文期刊封面目录资料

摘要

Recently, neural machine translation has revolutionised the field of machine translation, and now results in many research tasks keep improving every year. The new neural models have greatly improved translation quality, but have very different sorts of errors than the traditional statistical machine translation technology. An important challenge is to incorporate this technology improvement into commercial products and ensure that machine translation users get the best value while still keeping the product features they rely on for their work. SDL provides machine translation technology in a variety of products and markets. Our customers have expectations related to decoding speed, support for dictionaries and tags, and other functionality, so they can successfully integrate MT in their workflows. When it comes to commercialising MT, ensuring that these expectations are met is as important as improvements in BLEU score. In this talk I will focus on these important practical aspects in the context of the current NMT developments.
机译:最近,神经机翻译彻底改变了机器翻译领域,现在导致许多研究任务每年都在努力。新的神经模型具有大大提高的翻译质量,但与传统的统计机器翻译技术有很多不同的误差。一个重要的挑战是将这种技术改进融入商业产品,并确保机器翻译用户获得最佳价值,同时仍然保持产品特征,他们依赖于他们的工作。 SDL在各种产品和市场提供机器翻译技术。我们的客户有期望与解码速度相关,支持字典和标签以及其他功能,因此它们可以在其工作流中成功集成MT。谈到商业化MT时,确保满足这些期望与Bleu评分的改进一样重要。在这次谈话中,我将专注于当前纽姆发达的背景下的这些重要的实际方面。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号