[PDF] Top 20 Tree to Sequence Attentional Neural Machine Translation
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Tree to Sequence Attentional Neural Machine Translation
... Machine Translation (MT) has traditionally been one of the most complex language processing problems, but recent advances of Neural Machine Translation (NMT) make it possible to perform ... See full document
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A non contiguous Tree Sequence Alignment based Model for Statistical Machine Translation
... non-contiguous tree se- quence alignment model based on SncTSSG to enhance the ability of non-contiguous phrase mod- eling and the reordering caused by non-contiguous constituents with large ...(tree ... See full document
9
Recurrent Neural Network based Tuple Sequence Model for Machine Translation
... recurrent neural network-based tuple sequence model (RNNTSM) that can help phrase-based translation model overcome the phrasal independence ... See full document
10
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
... For sequence generation problem, (Yu et ...conditional sequence generative adversar- ial training for dialogue ...the machine translation ... See full document
10
Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
... In this work, we proposed a method in which the Seq2Dep NMT model is trained by utilizing syn- tactic dependencies to provide the model more abundant information. In other words, Seq2Dep model learns the potential ... See full document
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Hybrid Data Model Parallel Training for Sequence to Sequence Recurrent Neural Network Machine Translation
... We have proposed a hybrid data-model parallel approach for Seq2Seq RNN MT. We applied model parallelism to the encoder-decoder part and data parallelism to the attention-softmax part. The experimental results show that ... See full document
9
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation
... in machine translation, Ding and Palmer (2005) use n-gram rule Markov model in the dependency treelet model, Liu and Gildea (2008) applies the same method in a tree-to- string ...rent neural ... See full document
7
A Neural, Interactive predictive System for Multimodal Sequence to Sequence Tasks
... a neural interactive-predictive system for tackling mul- timodal sequence to sequence ...to sequence tasks: machine translation, image and video ... See full document
6
A Comparison of Two Paraphrase Models for Taxonomy Augmentation
... in neural net- works for machine translation, seq2seq models with attention representing input as a sequence of characters (Hasan et ...with neural machine trans- lation, where ... See full document
6
An Operation Sequence Model for Explainable Neural Machine Translation
... explainable neural ma- chine translation (NMT) by changing the out- put representation to explain ...modern neural mod- els, our system emits explicit word alignment information which is often ... See full document
12
Sequence to Dependency Neural Machine Translation
... In the neural network training, the vocabulary size is limited to 30K high frequent words for both source and target languages. All low fre- quent words are normalized into a special token unk and post-processed ... See full document
10
A Tree based Decoder for Neural Machine Translation
... All tree nodes in both versions have the null ...of tree structures: 1) the fully syntactic constituency parse trees; 2) constituency parse trees with null tags; 3) depen- dency parse trees; 4) a ... See full document
6
Towards String To Tree Neural Machine Translation
... a neural machine translation sys- tem by translating into linearized, lexical- ized constituency ...during translation in comparison to the ... See full document
9
Character based Decoding in Tree to Sequence Attention based Neural Machine Translation
... the tree-based encoder, binary trees of the source sentences were obtained by Enju (Miyao and Tsujii, 2008), which is a probabilistic HPSG ...proposed tree- based ... See full document
9
Tutorial: De mystifying Neural MT
... Neural Statistical Machine Translation Neural Machine Translation Encoder Decoder Sequence-to-sequence learning: Encoder Sequence-to-sequence learning: Decoder Let’s use a simple NN for [r] ... See full document
84
Variational Neural Machine Translation
... of attentional NMT, a num- ber of approaches and models have been proposed for NMT recently, which can be grouped into differ- ent categories according to their motivations: deal- ing with rare words or large ... See full document
10
Towards Neural Machine Translation with Latent Tree Attention
... of machine translation, pairing a recurrent neural net- work grammar encoder with a novel atten- tional RNNG decoder and applying pol- icy gradient reinforcement learning to in- duce unsupervised ... See full document
5
A Deep Learning Based Approach to Transliteration
... different neural machine translation (NMT) frameworks: recurrent neural net- work and convolutional sequence to se- quence based ... See full document
5
Tree based Hybrid Machine Translation
... System combinations by coupling MT systems serially or in parallel have been attempted before e.g. via hypothesis selection (Hildebrand and Vo- gel, 2008), by combining translation hypotheses locally using POS ... See full document
10
Synchronous Tree Adjoining Machine Translation
... derivation tree, with each elemen- tary tree attached to its parent by a substitution or adjunction ...parse tree we process the English TIG derivation ...tary tree in the derivation, allowing ... See full document
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