[PDF] Top 20 Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
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Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... the reordering framework described above, we could try to directly predict the ex- ecutions as Miceli Barone and Attardi (2013) attempted with their version of the frame- ... See full document
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A Recursive Recurrent Neural Network for Statistical Machine Translation
... Statistical Machine Translation (SMT) to learn several components or features of conventional framework, includ- ing word alignment, language modelling, transla- tion modelling and distortion ...lexical ... See full document
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Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... the reordering relation from word alignments. Some of them learn reordering rules on the constituency (Dyer and Resnik, 2010) (Khalilov and Fonollosa, 2011) or projec- tive dependency (Genzel, 2010), ... See full document
11
Recurrent Neural Network based Tuple Sequence Model for Machine Translation
... prior neural network-based translation models either employ feed-forward neural networks to ex- plicitly integrate source information via word-to-word alignment, or use recurrent ... See full document
10
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation
... previous translation rule using one-hot cod- ing, the output layer produces a probability distribu- tion over all translation rules, and the hidden layer maintains a representation of rule derivation ... See full document
7
Recurrent Positional Embedding for Neural Machine Translation
... Transformer network architecture, positional embeddings are used to encode order dependencies into the input representa- ...dependencies based on discrete numerical information, that is, are independent of ... See full document
7
Recurrent Neural Network based Translation Quality Estimation
... cehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using rnn encoder–decoder for statistical machine translation. In Proceedings of the 2014 ... See full document
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LSTM Neural Reordering Feature for Statistical Machine Translation
... novel neural reorder- ing feature by including longer context for pre- dicting ...memory recurrent neural network (LSTM-RNN) (Graves, 1997), and directly models word pairs to predict ... See full document
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Neural Machine Translation with Recurrent Attention Modeling
... tention based NMT, the next word to attend is highly dependent on the previous ...a recurrent neural network to summarize the pre- ceding attentions which could impact the attention of ... See full document
5
Abstractive Compression of Captions with Attentive Recurrent Neural Networks
... In this paper we have described a method for gener- ating abstractive compressions of scene description using attention-based bidirectional LSTMs (aRNN) trained on a new large dataset created from paired long and ... See full document
10
Distilling Knowledge for Search based Structured Prediction
... transition- based dependency parsing and neural machine translation experiments and plot the model’s per- formance on development sets in Figure ...the dependency parsing ... See full document
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Soft Dependency Constraints for Reordering in Hierarchical Phrase Based Translation
... the dependency orientation for a word is temporarily unavailable (“unresolved”), a cohesion penalty ...a translation hy- pothesis, which involve newly encountered unre- solved words as well as old ... See full document
12
Dependency based Pre ordering for Chinese English Machine Translation
... novel pre-ordering approach based on dependency parsing for a Chinese-English PBSMT ...our dependency-based pre-ordering rule set substantially decreased the time for applying ... See full document
6
Non Projective Parsing for Statistical Machine Translation
... discriminative dependency model (section ...on dependency re- lations between their aligned words in the source language; b) condition target-language dependen- cies on whether they are aligned to words ... See full document
10
Sequence to Dependency Neural Machine Translation
... Sequence-to-Dependency Neural Machine Translation (SD-NMT) model in our ...for translation generation and the other for de- pendency parse tree construction, in which incre- mental ... See full document
10
A Neural Reordering Model for Phrase based Translation
... The non-separability problem for the neural reordering ...our neural reordering model, “liu wan de” and “liu wan” have very similar vector space representations yet different ... See full document
11
Neural Machine Translation with Source Dependency Representation
... Statistical Machine Translation (PBSMT) implemented in Moses (Koehn et ...utilize dependency information for (Sennrich and Haddow, 2016), called ... See full document
7
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... their reordering probabilities sep- arately, where the boundary words of foreign phrases and candidate target translation phrases, POS information and dependencies are integrated as ... See full document
8
A Dependency Constrained Hierarchical Model with Moses
... 3: Non-projective Dependency Structure for many languages, increasingly so for languages with high levels of free words ...of non- projective phenomena (Yuelong, 2012) with re- ports of ... See full document
8
Weblio Pre reordering Statistical Machine Translation System
... blio Pre-reordering Statistical Machine Transla- tion (SMT) System, experiments and some issues we ...the pre-reordering method proposed in (Zhu et ...learns ... See full document
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