Paper Gallery已经翻译了一些列论文 Google在Tensorflow前构建的第一代深度学习框架DistBelief:CarryMeRookie:大模型系列论文:Large Scale Distributed Deep Networks 系列论文的第二期,翻译的是来自Google的tensorflow:CarryMeRookie:大模型系列论文:TensorFlow: A System for Large-Scale Machine Learning 第三期是目前(2023)...
原文链接:neural machine translation by jointly learning to align and translate 该paper提出了一个完全的神经网络机器翻译模型,扩展了原来的encoder-decoder并加入attention机制,在English-to-French的task上取得了state of the art的结果! 1. Encoder-Decoder Encoder将输入的句子(a sequence of vectors)编码成一个...
这篇文章是论文"NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE"的阅读笔记,这是2015年发表在ICLR的一篇文章。 ABSTRACT NMT(neural machine translation)是个很多人研究过的问题,最近也突破很多。 回到这篇论文,当时解决NMT问题的做法主要是基于encoder-decoder框架的,这框架也挺好的,在很多领域...
Neural Machine Translation (NMT) has presented promising results in Machine translation, convincingly replacing the traditional Statistical Machine Translation (SMT). This success of NMT in machine translation tasks therefore projects to more translation tasks using NMT. This paper systematically reviews the...
In this paper, we study a new learning paradigm for Neural Machine Translation (NMT). Instead of maximizing the likelihood of the human translation as in previous works, we minimize the distinction between human translation and the translation given by an NMT model. To achieve this goal, ...
Recently the neural machine translation is proposed; In this paper, we conjecture that theuse of a fixed-length vector is a bottleneck in improving the performance of this basic encoder–decoder architecture,and propose to extend this by allowinga model to automatically (soft-)search for parts of...
1、Published as a conference paper at ICLR 2015 NEURALMACHINETRANSLATION BYJOINTLYLEARNING TOALIGN ANDTRANSLATE Dzmitry Bahdanau Jacobs University Bremen, Germany KyungHyun ChoYoshua Bengio Universit e de Montr eal ABSTRACT Neural machine translation is a recently proposed approach to machine transla- 2...
neural machine translation often belong to a family of encoder-decoders and consists of an encoder that encodes a source sentence into a fixed-length vector from which a decoder generates a translation. In this paper, we conjecture that the use of a fixed-length vector is a bottleneck in ...
Inthispaper,weproposeanewframeworkwithsoftprototypetoleveragethetargetsideglobal information.Thesoftprototype,whichisthekeycomponentoftheproposedframework,isaglobal representationcalculatedbymultiple(insteadofasingle)candidatesinthetarget.Boththe sourcesentenceandthesoftprototypeareencodedintohigher-levelcontextualrepresentat...
The models proposed recently for neural ] machine translation often belong to a family of encoder–decoders and encodes L a source sentence into a fixed-length vector from which a decoder generates a C translation. In this paper, we conjecture that the use of a fixed-length vector is ...