首页> 外文会议>IFIP TC 12 international conference on intelligence science >Discussion on Bilingual Cognition in International Exchange Activities
【24h】

Discussion on Bilingual Cognition in International Exchange Activities

机译:论国际交流活动中的双语认知

获取原文

摘要

This article aims to explore the features, mechanisms, and applications of bilingual cognition in international communication activities. Our main idea is: First, clarify the mother tongue of each international exchange activities (IEAs) and prepare some prerequisites which are related to the discussion. Then, make full use of the information and intelligent network tools to bring out the subjective initiative of both parties, while conducting the corresponding research on daily terms and professional terms, and generate the two series of bilingual phrase table. Finally, use the machine translation (MT) and translation memory tools to help them make the necessary preparations or exercises. Meanwhile, we propose the novel and efficient mixed transfer learning (MTL) approach. As a result, when the two parties communicate with each other, as well as via online or off-line communicate, the kind of tacit agreement would have been created between them. If so, it will have been leveraged among them repeatedly rather than just one time and will have targeted multiple times. Its significance lies in: This process and habit of human-computer interaction will better reveal the characteristics of bilingual cognition based on this article. Experiments on low-resource datasets show that our approach is effective, significantly outperform the state-of-the-art methods and yield improvements of up to 4.13 BLEU points.
机译:本文旨在探讨双语认知在国际交流活动中的特征,机制和应用。我们的主要思想是:首先,明确每项国际交流活动的母语,并准备与讨论有关的一些先决条件。然后,充分利用信息和智能网络工具,带出双方的主观能动性,同时对日常用语和专业用语进行相应的研究,生成两个系列的双语用语表。最后,使用机器翻译(MT)和翻译记忆库工具来帮助他们进行必要的准备或练习。同时,我们提出了一种新颖而有效的混合转移学习(MTL)方法。结果,当双方彼此通信,以及通过在线或离线通信时,他们之间会建立默认的协议。如果是这样,它将被反复地而不是一次地加以利用,并且将有多次针对性。其意义在于:人机交互的这一过程和习惯将更好地揭示基于本文的双语认知的特征。在低资源数据集上进行的实验表明,我们的方法是有效的,明显优于最新方法,并且最多可提高4.13 BLEU点。

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