2.1. 神经机器翻译(Neural Machine Translation) 2.2. 文档级机器翻译(Document-level Machine Translation) 3. 提出的方法(Proposed Approach) 3.1. 文档级上下文层(Document-level Context Layer) 3.1.1. 分层注意力(Hierarchical Attention) 3.1.2. 扁平注意力(Flat Attention) 3.2. 上下文门控(Context Gating) 3....
Title: Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation (ACL 2022, Long) Author: Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su Comments: 这是篇来自厦门大学(Wechat AI)的工作,ACL2022主会长文录用,针对自回归NMT模型预测...
machine transl... SP Singh,A Kumar,H Darbari,... - IEEE 被引量: 14发表: 2017年 A Context-Aware Recurrent Encoder for Neural Machine Translation 2017b. A context-aware recurrent encoder for neural machine translation. IEEE/ACM Transac- tions on Audio, Speech, and Language Processing, PP(...
Investigators from Nanjing University of Information Science and Technology (NUIST) Zero in on Machine Translation (Contextaware Linguistic Steganography Model Based On Neural Machine Translation) 来自 掌桥科研 喜欢 0 阅读量: 7 摘要: By a News Reporter-Staff News Editor at Robotics & Machine ...
Given a Japanese manga page as input, the system recognizes Japanese texts and translates them into the target language using the trained neural machine translation model. An image inpainting model meanwhile removes the original Japanese texts from the page, and the translated texts are rendered on ...
paper reading:NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE 通过联合学习对齐和翻译的神经机器翻译 作者: Dzmitry Bahdanau Jacobs University Bremen, Germany KyungHyun Cho Yoshua Bengio∗ Universite de Montr ´ eal 摘要: 神经机器翻译的目标是建立一个单一的神经网络,可以共同调整以...
ModernMT is a context-aware, incremental and distributed general purpose Neural Machine Translation technology based onFairseq Transformer model. ModernMT is: Easy to use and scale with respect to domains, data, and users. Trained by pooling all available projects/customers data and translation memori...
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction Accurately predicting Polyadenylation (Poly(A)) signals isthe key to understand the mechanism of translation regulation and mRNA metabolism. However, exist... Y Guo,C Li,D Zhou,... - 《Neural Networks the Of...
为了让机器真实地拥有context-aware的能力,人类估计会有很长的路要走。 Reference [1] Bahdanau D, Cho K, Bengio Y. Neural machine translation by jointly learning to align and translate[J]. arXiv preprint arXiv:1409.0473, 2014. [2] Dey A K. Understanding and using context[J]. Personal and ...
论文题目:Toward Making the Most of Context in Neural Machine Translation 来源:IJCAI-20 原文链接如下: Towards Making the Most of Context in Neural Machine Translation 这篇文章是NJU黄书剑老师组的工作 Abstract 文档级别的机器翻译目前效果稍微好于语句级的效果,但是并没有被广泛运用。我们发现过去的研究并没...