论文解读:Sequence to Sequence Mixture Model for Diverse Machine Translation 论文解读:Sequence to Sequence Mixture Model for Diverse Machine Translation 机器翻译是自然语言处理中比较热门的研究任务,在深度学习背景下,通过神经网络搭建的机器翻译
首先介绍几篇比较重要的 seq2seq 相关的论文: [1] Cho et al., 2014 . Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation [2] Sutskever et al., 2014. Sequence …
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Neural translation model While the core of the sequence-to-sequence model is constructed by the functions intensorflow/tensorflow/python/ops/seq2seq.py, there are still a few tricks that are worth mentioning that are used in our translation model inmodels/tutorials/rnn/translate/seq2seq_model.py...
序列模型(Sequence Model) PNauX 代码编程初级 2 人赞同了该文章 1.参数介绍: sequence.pad_sequences() sequences --- 是要被填充或截断的序列列表 maxlen --- 序列的最大长度 dtype --- 填充值的数据类型,默认是int32 padding --- 指定了填充应该发生在序列的哪一边,默认是'pre' --- 意味着序列将被...
一、序列模型-sequence model 简介:一、序列模型-sequence model 在生活中,有许多领域都用到了序列模型,如语音识别,音乐创作,情感分类,DNA序列分析,机器翻译,视频动作检测,名称实体识别等。 1、符号定义 对于训练数据中的输入序列X和输出序列Y,令 x(i)<t>表示第 i个训练数据输入序列中,第 t个位置的序列元素;...
This example shows how to classify each time step of sequence data using a generic temporal convolutional network (TCN).
从Machine Translation 到Sequence to Sequence(Seq2seq)、Attention、Pointer Network(prt network) 十分复杂,因此考虑将所有的这些步骤都放入一个统一的系统,于是设计出NMT(NeuralMachine Translation)。sequence-to-sequence在一个简单的神经网络中...一般位于宾语之后,这就和英文中的主谓宾结构不同了。如下是法语和英...
The pink notes are the intents, placed next to the step that achieves that intent. Intents can also go with the activity—put those right below the green bar. • The notes with lightning bolts are breakdowns. The process of consolidating aSequence Modelis much like the Affinity Diagram. ...
基本Sequence to Sequence模型描述了基本的Encoder-Decoder模型,在作为翻译模型的时候,这种基本的Encoder-Decoder模型有较大缺点,就是Encoder部分每一个输入对Decoder部分每一个输出的贡献都是一样的。下面先看一个例子[1], 在基本模型中,每一个英文单词对杰瑞都是一样的贡献,这似乎是不太合理的;也就是说 ...