[PDF] Top 20 Using Target side Monolingual Data for Neural Machine Translation through Multi task Learning
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Using Target side Monolingual Data for Neural Machine Translation through Multi task Learning
... parallel data generated through back-translation (Sennrich et ...lingual target data. On the combined parallel and synthetic training data we train a new model with the same ... See full document
6
Improving Neural Machine Translation Models with Monolingual Data
... Neural Machine Translation (NMT) has obtained state-of-the art performance for several language pairs, while only us- ing parallel data for ...training. Target- side ... See full document
11
Improving Robustness of Neural Machine Translation with Multi task Learning
... The translation de- coder could potentially take advantage of the re- covered clean sentence while maintaining specific varieties of noise ...with target translations, so we also follow Vaibhav et ... See full document
7
Iterative Back Translation for Neural Machine Translation
... a data-hungry approach, requiring a large amount of parallel data to reach reasonable per- formance (Koehn and Knowles, ...parallel data, ...obtain monolingual data in either the source ... See full document
7
Exploiting Monolingual Data at Scale for Neural Machine Translation
... the target language model into the N- MT decoder to improve the ...back translation (BT) approach to leverage the target-side monolingual data, which is simple and ...additional ... See full document
10
Zero Resource Neural Machine Translation with Monolingual Pivot Data
... that monolingual data from a lan- guage other than the source and target languages can aid NMT performance, complementing litera- ture on using source- and target-language mono- lingual ... See full document
9
Context Aware Monolingual Repair for Neural Machine Translation
... on monolingual data ...the target side of the previous ...English side. This implies the model trained using the round-trip translations will not be exposed to many VP ellipsis ... See full document
10
Extending hybrid word character neural machine translation with multi task learning of morphological analysis
... Neural machine translation provides another way to utilize external annotations, multi-task learning ...chine learning approach that aims at improving the generalization ... See full document
7
Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi Task Learning Approach
... Multi-task learning has attracted attention to im- prove NMT in recent ...of monolingual data in the source language in a multitask learning framework by sharing encoder in the ... See full document
10
Copied Monolingual Data Improves Low Resource Neural Machine Translation
... Copied Monolingual Data for NMT We propose a method for incorporating target- side monolingual data into low-resource NMT that does not rely heavily on the amount or quality of ... See full document
9
Exploiting Source side Monolingual Data in Neural Machine Translation
... source-side monolingual data in con- ventional SMT with a self-learning ...more translation rules in SMT and we also adapt a multi-task learning framework to take ... See full document
11
Exploiting Linguistic Resources for Neural Machine Translation Using Multi task Learning
... a multi-layer perceptron with 512 hidden units and tanh activa- tion ...applied using log-likelihood of the concatenated validation sets from the considered ... See full document
10
Using Monolingual Data in Neural Machine Translation: a Systematic Study
... the target, if properly noised (§ 4), and even better, if used with GANs, could be almost as good as low quality BTs ( § 5): BT is only worth its cost when good BT can be ...our data condi- tion ( § ... See full document
12
Ensemble Learning for Multi Source Neural Machine Translation
... that translation systems from different source language into the same target language have complementary strengths and weak- nesses in terms of translation performance and introduce an approach that ... See full document
10
Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation
... sentences using a Statistical Ma- chine Translation (SMT) system is proposed by (Quirk et ...training data are ex- tracted from Web pages and parallel sentences identified using edit ... See full document
7
Adaptive Knowledge Sharing in Multi Task Learning: Improving Low Resource Neural Machine Translation
... Neural Machine Translation (NMT) is no- torious for its need for large amounts of bilingual ...is Multi- Task Learning (MTL) to leverage differ- ent linguistic resources as a ... See full document
6
Prediction of Treatment Target for Ventricular Tachycardia using Multi-Task Machine Learning
... presented multi-task learning approach to a more homogeneous pop- ulation, such as those developing VT without structural disease in the ...advanced machine learning approaches for ... See full document
37
Multi agent Learning for Neural Machine Translation
... many-to-many learning to the one-to-many (one teacher vs. many students) learning, extending ensemble knowledge distillation (Fukuda et ...by learning from the ensemble model (Teacher) of all agents ... See full document
10
Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation
... different learning rates for the base and synthetic parallel corpora to avoid overfitting to the syn- thetic ...the translation qual- ity was improved by increasing the number of synthetic source sentences ... See full document
9
Multi Source Neural Machine Translation with Missing Data
... models: multi-encoder NMT, mixture of NMT experts, and one-to-one ...ing data for each source and target ...tion data and used them when decoding test ... See full document
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