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[PDF] Top 20 Recurrent Continuous Translation Models

Has 10000 "Recurrent Continuous Translation Models" found on our website. Below are the top 20 most common "Recurrent Continuous Translation Models".

Recurrent Continuous Translation Models

Recurrent Continuous Translation Models

... the models in four experiments. Since the translation probabilities of the RCTMs are tractable, we can measure the per- plexity of the models with respect to the reference ...the models is ... See full document

10

Investigations on Phrase based Decoding with Recurrent Neural Network Language and Translation Models

Investigations on Phrase based Decoding with Recurrent Neural Network Language and Translation Models

... RNN models into phrase-based decoding slightly outperforms ap- plying them in a rescoring ...the translation quality, and it starts to even have a negative ... See full document

10

LIMSI @ WMT13

LIMSI @ WMT13

... the translation task of WMT’13 for the French-English, German-English and Spanish- English language ...and continuous space models are introduced in a post- processing step, both for ... See full document

8

Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation

Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation

... etc accordance of morphologically rich languages, when used in an LVCSR as well as an SMT system. Overall, one can say that the semantic level seems to be more important for language modeling in SMT than LVCSR. In both ... See full document

9

Investigating Continuous Space Language Models for Machine Translation Quality Estimation

Investigating continuous space language models for machine translation quality estimation

... prediction models, despite their simplicity and the fact that they require only monolingual data as resource, which is available in abundance for many lan- ... See full document

6

Learning Continuous Phrase Representations for Translation Modeling

Learning Continuous Phrase Representations for Translation Modeling

... the continuous representation of a phrase that is effective for ...on continuous-space language models ...phrase translation pairs are hidden in the par- allel source-target sentence pairs, ... See full document

11

Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation

Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation

... Holger Schwenk, Anthony Rousseau, and Mohammed Attik. 2012. Large, pruned or continuous space language models on a gpu for statistical machine translation. In Proceedings of the NAACL-HLT 2012 ... See full document

6

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search

... sequence models are considered superior to their locally normal- ized equivalents because they may ameliorate the effects of label ...a continuous relaxation of beam search (Goyal et ...normalized ... See full document

10

Translation Modeling with Bidirectional Recurrent Neural Networks

Translation Modeling with Bidirectional Recurrent Neural Networks

... lation models using recurrent neural net- ...phrase-based translation mod- els that are more consistent with phrase- based ...bidirectional recurrent neural models to the problem of ... See full document

12

Minimum Translation Modeling with Recurrent Neural Networks

Minimum Translation Modeling with Recurrent Neural Networks

... sequence models tackle the data sparsity problem by learning continuous word representations, that group similar words to- gether in continuous ...by recurrent neural networks have been found ... See full document

10

Neural Machine Translation with Recurrent Attention Modeling

Neural Machine Translation with Recurrent Attention Modeling

... In this paper, we propose a new attention mecha- nism that explicitly takes the attention history into consideration when generating the attention map. Our work is motivated by the intuition that in at- tention based ... See full document

5

Joint Language and Translation Modeling with Recurrent Neural Networks

Joint Language and Translation Modeling with Recurrent Neural Networks

... the recurrent language model (§5.4). Setup. Conventional language models can be trained on monolingual or bilingual data; however, the joint model can only be trained on the ...all models, including ... See full document

11

Peak to peak exponential direct learning of continuous time recurrent neural network models: a matrix inequality approach

Peak to peak exponential direct learning of continuous time recurrent neural network models: a matrix inequality approach

... for continuous-time neural networks, the advantage of our work is that we can deal with the worst-case peak value of the state vector for all bounded peak values of external disturbance in learning algorithm ... See full document

8

Determining Recurrent Sound Correspondences by Inducing Translation Models

Determining Recurrent Sound Correspondences by Inducing Translation Models

... inducing models of trans- lational equivalence that outperform the models that are based solely on co-occurrence ...the translation model con- verges to the desired ... See full document

7

Learning Translation Models from Monolingual Continuous Representations

Learning Translation Models from Monolingual Continuous Representations

... linear projections are up to three orders of magni- tudes faster once phrasal representations have been learned and can be as accurate. Our novel local lin- ear projection is much more accurate than the global projection ... See full document

10

Continuous Space Translation Models for Phrase Based Statistical Machine Translation

Continuous Space Translation Models for Phrase Based Statistical Machine Translation

... In our initial experiments, we trained a neural network to estimate the forward phrase transla- tion probability P ( ¯ t | ¯ s ) . The maximal phrase length was set to seven words, as it is also used during the standard ... See full document

10

Continuous Space Translation Models with Neural Networks

Continuous Space Translation Models with Neural Networks

... phrase-based models (Zens et ...in translation and ...problems. Translation units are still pairs of phrases, derived from a bilingual segmentation in tuples synchronizing the source and target ... See full document

10

A Discriminative Training Procedure for Continuous Translation Models

A Discriminative Training Procedure for Continuous Translation Models

... Machine Translation Let (s, t) denote a sentence pair made of a source s and target t ...basic translation units: like phrase pairs, they represent a matching be- tween a source and a target chunk ... See full document

7

The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016

The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016

... network models, a solution is to resort to a two-pass approach: the first pass uses a conventional system to produce a k-best list (the k most likely hypotheses); in the second pass, probabilities are computed by ... See full document

8

Recurrent Positional Embedding for Neural Machine Translation

Recurrent Positional Embedding for Neural Machine Translation

... efficient recurrent positional embedding approach to capture order dependencies based on word content in a sentence, thus learning a more effective sentence representation for the ...Chinese-to-English ... See full document

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