[PDF] Top 20 Scaling Neural Machine Translation
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Scaling Neural Machine Translation
... of neural networks follows two main strategies: (i) model parallel evalu- ates different model layers on different work- ers (Coates et ...ral machine translation systems have been recently trained ... See full document
9
Memory augmented Neural Machine Translation
... a translation table with three items for each OOV word: (1) its transla- tion; (2) its similar word; (3) the similar word of its translation, if the translation is also an OOV ... See full document
10
Neural Machine Translation for English Tamil
... To overcome the first problem we took unique pairs from all sentences and removed repeating ones. We completely removed those sentences which are repeated more than once because in the second case we cannot identify that ... See full document
6
Neural Machine Translation with Word Predictions
... for neural machine translation (NMT), the hidden states of the recurrent structures in the encoder and decoder carry the crucial information about the ...of translation errors through ... See full document
10
Translating Phrases in Neural Machine Translation
... crete translation lexicons into the NMT model, to alliterate the imprecise translation problem (Wang et ...a neural system combination framework to directly combine NMT and SMT ...interactive ... See full document
11
Supervised Attentions for Neural Machine Translation
... In this paper, we alleviate the above issue by uti- lizing the alignments (human annotated data or ma- chine alignments) of the training set. Given the alignments of all the training sentence pairs, we add an alignment ... See full document
6
On the use of BERT for Neural Machine Translation
... recurrent neural nets (Bah- danau et ...Beyond machine translation, the transformer models have been reused to learn bi-directional language mod- els on large text ... See full document
10
A neural interlingua for multilingual machine translation
... explicit neural interlin- gua into a multilingual encoder-decoder neural machine translation (NMT) ...zero-shot translation (without using pivot translation), and by using the ... See full document
9
Neural Machine Translation into Language Varieties
... commercial machine trans- lation have so far neglected the importance of properly handling the spelling, lexical and grammar divergences occurring among lan- guage ...online machine transla- tion services ... See full document
9
TencentFmRD Neural Machine Translation for WMT18
... Chinese↔English Translation tasks, firstly filter- ing out bilingual sentences with unrecognizable code, large length ratio difference, duplications and wrong language coding, then filtering out bilingual ... See full document
8
Massively Multilingual Neural Machine Translation
... the translation directions the model is trained on are into English, this leaves less capac- ity for the other target languages (while still per- forming better than the bilingual baselines on all 8 language ... See full document
11
Byte based Neural Machine Translation
... As far as we are concerned, we are not aware of any research work in neural machine transla- tion that has experimented with bytes. Related work can be found int the area of natural language processing. ... See full document
5
Six Challenges for Neural Machine Translation
... Both SMT and NMT systems actually have their worst performance on words that were ob- served a single time in the training corpus, drop- ping to 48.6% and 52.2%, respectively; even worse than for unobserved words. Table ... See full document
12
OpenNMT: Neural Machine Translation Toolkit
... C/Mobile/GPU Translation Training NMT systems requires significant code complexity to facilitate fast ...different translation deploy- ments specialized for different run-time environments: a batched CPU/GPU ... See full document
8
Deep architectures for Neural Machine Translation
... It has been shown that increasing model depth improves the quality of neural ma- chine translation. However, different architectural variants to increase model depth have been proposed, and so far, there ... See full document
9
The Helsinki Neural Machine Translation System
... guages such as Finnish and our submission scored best among the participants in the English–Finnish task. The evaluations show that the neural mod- els are superior to the strong SMT baselines that exploit the ... See full document
10
Challenges in Adaptive Neural Machine Translation
... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 207.. Symbiotic Human and Machine Translation.[r] ... See full document
36
Context Gates for Neural Machine Translation
... chine translation, while theirs focuses on integrating auxiliary corpus-level contexts for language mod- elling to better approximate the corpus-level prob- ... See full document
14
Handling Homographs in Neural Machine Translation
... for machine translation systems, as it is difficult to select the correct translation based on the ...of neural machine translation (NMT) sys- tems, which can theoretically take ... See full document
10
An Exploration of Placeholding in Neural Machine Translation
... in neural ma- chine translation was in Luong et ...the translation of rare words and technical items, but the approach was largely abandoned when sub-word methods (Sennrich et ... See full document
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