[PDF] Top 20 Chunk Based Bi Scale Decoder for Neural Machine Translation
Has 10000 "Chunk Based Bi Scale Decoder for Neural Machine Translation" found on our website. Below are the top 20 most common "Chunk Based Bi Scale Decoder for Neural Machine Translation".
Chunk Based Bi Scale Decoder for Neural Machine Translation
... the chunk-based bi-scale decoder is ef- fective for ...the neural NMT system can model the bi-scale components with different varying speeds ... See full document
7
Learning from Chunk based Feedback in Neural Machine Translation
... Likert scale. The main problem of such methods is that users are not qualified enough to provide re- liable feedback for the whole sentence. Since dif- ferent users do not adhere to a single set of guide- lines, ... See full document
6
A Stochastic Decoder for Neural Machine Translation
... eye implements several different NMT models but here we use the standard recurrent attentional model described in Section 2. We report baselines with and without dropout (Srivastava et al., 2014). For dropout a retention ... See full document
10
Self Attentive Residual Decoder for Neural Machine Translation
... solely based on the sequence model which, in practice, is prone to a recency bias and lacks the ability to capture effectively non- sequential dependencies among ...a neural MT baseline as well as a memory ... See full document
14
Doubly Attentive Decoder for Multi modal Neural Machine Translation
... the decoder RNN and before emitting a target ...selection based on BLEU4, so that if a model does not improve on BLEU4 in the valida- tion set for more than 20 epochs, training is ...The translation ... See full document
12
Improved Neural Machine Translation with a Syntax Aware Encoder and Decoder
... Most neural machine translation (NMT) models are based on the sequential encoder-decoder framework, which makes no use of syntactic ...Chinese-English translation demonstrate ... See full document
10
Exploiting Monolingual Data at Scale for Neural Machine Translation
... back translation from differ- ent ...back translation as approximate inference in a generative model of bitext and give a new ...all based on the small-scale monolingual data, there- fore it ... See full document
10
Alignment Based Neural Machine Translation
... the translation probability depending on an intermediate compu- tation of an alignment ...the decoder attends to dur- ing ...e.g. neural models, count-based models, ...the translation ... See full document
12
Character based Neural Machine Translation
... the neural MT baseline system from (Bahdanau et ...character- based neural language model (Kim et al., 2016). The translation unit continues to be the word, and we continue using word ... See full document
5
Byte based Neural Machine Translation
... embeddings based on previous works like (Kim et ...the decoder are the input of the bidirec- tional recurrent neural ...the decoder architecture is that the single- layer feedforward network ... See full document
5
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
... Neural machine translation (briefly, NMT), based on the encoder-decoder framework with an attention module, has made significant progress in recent years (Vaswani et ...English↔French ... See full document
8
Chunk based Decoder for Neural Machine Translation
... wrong chunk “ 特別な (special)” instead of the correct one “ 特別に (specially)” and a wrong chunk “ よ る ” instead of “ よ り ...the decoder with a better ability to choose more accurate words in ... See full document
12
A Tree based Decoder for Neural Machine Translation
... in Neural Machine Transla- tion (NMT) show that adding syntactic infor- mation to NMT systems can improve the qual- ity of their ...RNN decoder that operates on a lin- earized target tree ... See full document
6
NAVER Machine Translation System for WAT 2015
... We constructed the source word vocabulary with the most common words in the source language corpora. For the target character vocabulary, we used a BI (begin/inside) representation (e.g., 結 /B, 果/I), because it ... See full document
5
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017
... The systems differ in the training method and the architectures. In the first series of experiments Forward, training sentences are seen in their nat- ural direction (left-to-right in this case). For this type of ... See full document
8
Chunk Based Statistical Translation
... model based on a text chunk un- der the framework of statistical machine ...The translation model sug- gested here first performs ...a chunk is ...of translation model- ing, we ... See full document
8
Application of Prize based on Sentence Length in Chunk based Automatic Evaluation of Machine Translation
... candidate translation and recall by ...candidate translation and the reference. Moreover, the chunk sequence determination process is repeated recursively to all common ...the chunk sequence ... See full document
6
Decoder based Discriminative Training of Phrase Segmentation for Statistical Machine Translation
... phrase- based statistical machine ...segmentation based on the translation ...SMT decoder, so that the phrase segmentations supporting good translations can be ...the translation ... See full document
10
Bi Directional Neural Machine Translation with Synthetic Parallel Data
... improve translation quality (Koehn et ...large neural network that performs full sequence-to-sequence transla- tion (Sutskever et ...back- translation introduces the significant cost of first ... See full document
8
An Example based Decoder for Spoken Language Machine Translation
... If one child input is translated completely, i.e. no phrase is un-translated. Then, it should be merged into the parent translation template to form a new template. When merging, we must satisfy the ITG ... See full document
8
Related subjects