[PDF] Top 20 Google’s Multilingual Neural Machine Translation System: Enabling Zero Shot Translation
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Google’s Multilingual Neural Machine Translation System: Enabling Zero Shot Translation
... our multilingual system architecture in more ...(zero-shot translation) performs in comparison to explicit bridging ...in machine translation ...new system in ... See full document
14
Zero Resource Neural Machine Translation with Monolingual Pivot Data
... Zero-shot neural machine translation (NMT) is a framework that uses source-pivot and target-pivot parallel data to train a source- target NMT ...to zero- shot NMT is ... See full document
9
A neural interlingua for multilingual machine translation
... the zero-shot BLEU score was < ...3.3 Multilingual NMT versus Bilingual NMT We used the training corpora from the WMT15 translation task to train our encoder-decoder mod- ... See full document
9
Massively Multilingual Neural Machine Translation
... one-to-many translation (from English into 4 languages) by adding a ded- icated decoder per target language, showing im- provements over strong single-pair ...of zero-resource translation, where they ... See full document
11
A Teacher Student Framework for Zero Resource Neural Machine Translation
... Gregory S. Corrado, Macduff Hughes, and Jeffrey Dean. 2016. Google’s neural machine translation system: Bridg- ing the gap between human and machine ... See full document
11
From Bilingual to Multilingual Neural Machine Translation by Incremental Training
... stest2013 were used as validation and test sets, respectively. These sets provide parallel data be- tween the four languages that allow for zero-shot evaluation. Preprocessing consisted of a pipeline of ... See full document
7
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
... The use of multiple encoders and decoders was first studied in the context of neural MT. Dong et al. (2015) used multiple decoders, i.e. 1:N training, to achieve improved NMT performance. Zoph and Knight (2016) ... See full document
11
Multilingual Neural Machine Translation with Language Clustering
... Multilingual neural machine translation (NMT), which translates multiple languages using a single model, is of great practi- cal importance due to its advantages in simplifying the training ... See full document
11
Consistency by Agreement in Zero Shot Neural Machine Translation
... of multilingual translation often highly depend on the amount of available parallel data for each language pair of ...on zero-shot generalization—a challenging setup that tests models on ... See full document
14
Improved Zero shot Neural Machine Translation via Ignoring Spurious Correlations
... on zero- shot pairs which can be chosen either through a pivot language (denoted as BTTP) or the cur- rent zero-shot NMT trained without BT (denoted ...trained zero-shot NMT to ... See full document
11
Survey and Analysis on Language Translator using Neural Machine Translation
... traditional machine translation systems is eradicated by the new approach ...Deep Neural Machine Translation ...large neural network with the only difference that exist is that ... See full document
7
Kingsoft’s Neural Machine Translation System for WMT19
... to neural machine translation system, it combines the full probability distribution over the target vocabulary of different models at each step during sequence ...improve translation ... See full document
7
Developing a Neural Machine Translation system for Irish
... monolingual data (i.e. DCEP, DGT, EAC, ECDC) for back-translation. In all our experiments, we observed an increase in BLEU score for the generic test set when adding synthetic data to the parallel training corpus. ... See full document
7
Pre Translation for Neural Machine Translation
... of neural and phrase-based machine translation ...PBMT system, which can handle the rare words ...final translation using an NMT system. This NMT system is able to ... See full document
9
OpenNMT: Neural Machine Translation Toolkit
... released, including GroundHog, Blocks, Nematus, tensorflow-seq2seq, GNMT, fair-seq, Ten- sor2Tensor, Sockeye, Neural Monkey, lamtram, XNMT, SGNMT, and Marian. These projects mostly implement variants of the same ... See full document
8
The Helsinki Neural Machine Translation System
... We were also interested in the combination of SMT and NMT using the pre-translation approach proposed by Niehues et al. (2016). In their model, SMT-based translations of the source text are sim- ply concatenated ... See full document
10
Neural System Combination for Machine Translation
... NMT system generates the final hypothesis using the ...for system combination and design a good strategy to simulate the real training data for our neural sys- tem ... See full document
7
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... proper translation has to be derived from ...the translation sys- tem is gender biased, the context is disregarded, while if the system is neutral, the translation is cor- rect (since it has ... See full document
8
Multi Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
... many translation, where each target language de- coder embedded its own attention ...whether multilingual neural machine translation can scale beyond low- resource language ... See full document
10
Improving Zero shot Translation with Language Independent Constraints
... in multilingual models with- out any architectural ...on zero-shot translation quality in the stan- dard IWSLT 2017 multilingual benchmark (Cet- tolo et ...our zero-shot ... See full document
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