[PDF] Top 20 Memory enhanced Decoder for Neural Machine Translation
Has 10000 "Memory enhanced Decoder for Neural Machine Translation" found on our website. Below are the top 20 most common "Memory enhanced Decoder for Neural Machine Translation".
Memory enhanced Decoder for Neural Machine Translation
... on machine reading (Cheng et al., 2016), in which the machine reader is equipped with a memory tape, enabling the model to directly read all the previous hidden state with an attention mecha- ... See full document
9
Memory Augmented Neural Networks for Machine Translation
... the Neural Turing Machine (NTM) (Graves et ...Differentiable Neural Computer (DNC) (Graves et ...The decoder has read only access to the encoded source sentence and typically just a sin- gle ... See full document
10
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
... or memory size (Johnson et ...convolutional neural networks and temporal sharing for the transition functions in recurrent neural networks (Goodfellow et ...and decoder of an NMT ... See full document
8
A Character level Decoder without Explicit Segmentation for Neural Machine Translation
... chine translation has considered words as a ba- sic ...existing translation systems, such as language models and phrase tables, are a count-based estimator of ...phrase-based machine ... See full document
11
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
... the decoder further in various settings: com- paring the performance i) with and without the attention mechanism, and ii) augmenting the de- coder representation with the representation of the most attended source ... See full document
10
Chunk Based Bi Scale Decoder for Neural Machine Translation
... bi-scale decoder for neural machine translation, in which way, the target sentence is translated hierarchically from chunks to words, with information in different granularities being ... See full document
7
Improved Neural Machine Translation with a Syntax Aware Encoder and Decoder
... We also extend the decoder to incorporate infor- mation about the source syntax into the attention model. We have observed two issues in transla- tions produced using the tree encoder. First, a syn- tactic phrase ... See full document
10
Document Context Neural Machine Translation with Memory Networks
... document-level neural machine translation model in C++ using the DyNet li- brary (Neubig et ...source memory, the sentence and document-level bidirectional RNNs use LSTM and GRU units, ...The ... See full document
10
Syntax Enhanced Neural Machine Translation with Syntax Aware Word Representations
... in neural machine translation ...English-Vietnamese translation tasks, re- ...Chinese-English translation and 0.80 point for English-Vietnamese translation, ... See full document
11
LIG CRIStAL Submission for the WMT 2017 Automatic Post Editing Task
... of Neural Machine Translation (NMT) models (Sutskever et ...generally enhanced with an attention mechanism, which learns to look at the entire sequence of en- coder states (Bahdanau et ... See full document
7
Pre Translation for Neural Machine Translation
... One main drawback of this approach is that the whole source sentence has to be stored in a fixed- size context vector. To overcome this problem, (Bahdanau et al., 2014) introduced the soft attention mechanism. Instead of ... See full document
9
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
... for machine translation which allows paring various modern neural models of translation with different kinds of constraints and symbolic ...in Machine Learning, Speech and Language ... See full document
9
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... the translation also depends on the professions from the Occupations test and its predicted ...and decoder sides, the model shows a higher accuracy when predict- ing the gender of a profession in ... See full document
8
Montreal Neural Machine Translation Systems for WMT’15
... Neural machine translation (NMT) systems have recently achieved re- sults comparable to the state of the art on a few translation tasks, including English→French and ... See full document
7
Hybrid Machine Translation with Multi-Source Encoder-Decoder Long Short-Term Memory in English-Malay Translation
... SMT translation model and also training the hybrid MT ...The translation in Malay produced will then be input to the hybrid NMT (multi-source encoder-decoder ...SMT translation model and also ... See full document
7
Chunk based Decoder for Neural Machine Translation
... word-based decoder and our chunk-based decoders, we show translation examples in Figure ...word-based decoder (our im- plementation) has completely dropped the trans- lation of “by ...wrong ... See full document
12
Combining Translation Memory with Neural Machine Translation
... and decoder networks map the vectors through 6-layer 2048-dimensional feed-forward networks with 8-head self-attention and layer-normalization (Ba et ...the decoder has an 8-head attention layer before the ... See full document
8
A Tree based Decoder for Neural Machine Translation
... a translation, using the partially-generated tree to guide the translation process (§ ...to neural models of tree-structured data from syntactic and semantic parsing (Dyer et ... See full document
6
Doubly Attentive Decoder for Multi modal Neural Machine Translation
... Multi-modal Neural Ma- chine Translation model in which a doubly-attentive decoder naturally incor- porates spatial visual features obtained us- ing pre-trained convolutional neural net- ... See full document
12
A Stochastic Decoder for Neural Machine Translation
... That the margin between the SDEC and SENT models is not large was to be expected for two reasons. First, Chung et al. (2015) and Fraccaro et al. (2016) have shown that stochastic RNNs lead to enormous improvements in ... See full document
10
Related subjects