咨询与建议

限定检索结果

文献类型

  • 4 篇 会议
  • 1 篇 期刊文献

馆藏范围

  • 5 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 4 篇 工学
    • 3 篇 计算机科学与技术...
    • 1 篇 电气工程
    • 1 篇 软件工程
  • 2 篇 文学
    • 2 篇 外国语言文学
  • 1 篇 理学
    • 1 篇 物理学

主题

  • 5 篇 syntax structure
  • 1 篇 japanese case fr...
  • 1 篇 statistical mach...
  • 1 篇 influence
  • 1 篇 long short-term ...
  • 1 篇 hypotaxis
  • 1 篇 neural networks
  • 1 篇 recurrent neural...
  • 1 篇 chunk-based depe...
  • 1 篇 parataxis
  • 1 篇 program translat...
  • 1 篇 attention mechan...
  • 1 篇 syntactic branch...
  • 1 篇 sentence modelin...
  • 1 篇 neural machine t...
  • 1 篇 unsupervised lea...

机构

  • 1 篇 beijing jiaotong...
  • 1 篇 univ sci & techn...
  • 1 篇 beihang univ sta...
  • 1 篇 beijing samsung ...
  • 1 篇 peking univ key ...
  • 1 篇 college of funda...
  • 1 篇 guangdong univ t...
  • 1 篇 south china norm...

作者

  • 1 篇 ruan yu-ping
  • 1 篇 chen zhitao
  • 1 篇 xie jun
  • 1 篇 xu jinan
  • 1 篇 ling zhen-hua
  • 1 篇 liu fang
  • 1 篇 peng ru
  • 1 篇 zhang yujie
  • 1 篇 fang yi
  • 1 篇 wu peihao
  • 1 篇 chen qian
  • 1 篇 zhang li
  • 1 篇 xiaoqing sun
  • 1 篇 li jia
  • 1 篇 hao tianyong

语言

  • 5 篇 英文
检索条件"主题词=syntax structure"
5 条 记 录,以下是1-10 订阅
排序:
Analysis on Negative Transfer of Native Language syntax structure in English Compositions of Chinese College Students
Analysis on Negative Transfer of Native Language Syntax Stru...
收藏 引用
2014 3rd International Conference on Science and Social Research
作者: Xiaoqing Sun College of Fundamental Education Shanghai University of Engineering Science
The differences of English and Chinese in syntax structure are analyzed and the influence of these differences on the Chinese English learners and the method to solve the negative impact is explored.
来源: 评论
A Sequential Neural Encoder With Latent structured Description for Modeling Sentences
收藏 引用
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2018年 第2期26卷 231-242页
作者: Ruan, Yu-Ping Chen, Qian Ling, Zhen-Hua Univ Sci & Technol China Natl Engn Lab Speech & Language Informat Proc Hefei 230027 Anhui Peoples R China
In this paper, we propose a sequential neural encoder with latent structured description (SNELSD) for modeling sentences. This model introduces latent chunk-level representations into conventional sequential neural en... 详细信息
来源: 评论
Neural Machine Translation with Attention Based on a New Syntactic Branch Distance  1
收藏 引用
15th China Conference on Machine Translation (CCMT)
作者: Peng, Ru Chen, Zhitao Hao, Tianyong Fang, Yi Guangdong Univ Technol Sch Informat Engn Guangzhou Peoples R China South China Normal Univ Sch Comp Sci Guangzhou Peoples R China
Attention mechanism has been proved to be able to improve the quality of neural machine translation by selectively focusing on partial words of a source sentence during translation process. Attention mechanism usually... 详细信息
来源: 评论
Chunk-Based Dependency-to-String Model with Japanese Case Frame  10
Chunk-Based Dependency-to-String Model with Japanese Case Fr...
收藏 引用
10th China Workshop on Machine Translation (CWMT)
作者: Xu, Jinan Wu, Peihao Xie, Jun Zhang, Yujie Beijing Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China Beijing Samsung Telecom R&D Ctr Beijing 100028 Peoples R China
This paper proposes an idea to integrate Japanese case frame into chunk-based dependency-to-string model. At first, case frames are acquired from Japanese chunk-based dependency analysis results. Then case frames are ... 详细信息
来源: 评论
syntax and Domain Aware Model for Unsupervised Program Translation  23
Syntax and Domain Aware Model for Unsupervised Program Trans...
收藏 引用
45th IEEE/ACM International Conference on Software Engineering (ICSE)
作者: Liu, Fang Li, Jia Zhang, Li Beihang Univ State Key Lab Software Dev Environm Beijing Peoples R China Peking Univ Key Lab High Confidence Software Technol MoE Beijing Peoples R China
There is growing interest in software migration as the development of software and society. Manually migrating projects between languages is error-prone and expensive. In recent years, researchers have begun to explor... 详细信息
来源: 评论