[PDF] Top 20 Learning to Translate in Real time with Neural Machine Translation
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Learning to Translate in Real time with Neural Machine Translation
... sized segments of the input sequence and outputs tokens based on each segment in real-time. It is trained with alignment information using super- vised learning. A similar idea for online ASR is ... See full document
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Learning to Parse and Translate Improves Neural Machine Translation
... Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan ... See full document
7
Learning to Actively Learn Neural Machine Translation
... in neural machine translation systems, previous work have consid- ered training a seperate language model on the tar- get side (Jean et ...back translation approaches (Sennrich et ...improve ... See full document
11
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... Bolukbasi et al. (2016) uses a set of words to define the gender direction and to neutralize and equalize the bias from the word vectors. Three set of words are used: One set of ten pairs of words such as woman-man, ... See full document
8
Meta Learning for Low Resource Neural Machine Translation
... resource neural machine translation ...low-resource translation as a meta- learning problem, and we learn to adapt to low-resource languages based on multilingual high-resource language ... See full document
10
Ensemble Learning for Multi Source Neural Machine Translation
... that translate from different source languages into the same target ...for translation systems, which may range from the way particular words are translated to the way the whole sentence is ...that ... See full document
10
Neural Machine Translation with Adequacy-Oriented Learning
... a translation case in Figure ...two translation results from the RNNSearch and Adequacy-NMT models respectively, as well as the corresponding C DR and BLEU ... See full document
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Active Learning for Interactive Neural Machine Translation of Data Streams
... active learning techniques to the translation of unbounded data streams via interactive neural machine ...interactively translate those ...the neural machine ... See full document
10
Semi Supervised Learning for Neural Machine Translation
... Figure 2 shows the BLEU scores of various set- tings of k over time. Only the English mono- lingual corpus is appended to the training data. We observe that increasing the size of the approx- imate search space ... See full document
10
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation
... final translation quality and/or reduce the training time of an NMT system by organizing minibatches in two particular ...shorter time. Section 4 evaluates our ideas in thems of translation ... See full document
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Curriculum Learning for Domain Adaptation in Neural Machine Translation
... For data-centric domain adaptation methods, our curriculum learning approach has connections to instance weighting. In our work, the presenta- tion of certain examples at specific training phases is equivalent to ... See full document
13
Learning to Stop in Structured Prediction for Neural Machine Translation
... decoding time, beam search is universally adopted to improve the search qual- ity, while training is fundamentally local and ...reinforcement learning-based methods (Ran- zato et ...English ... See full document
6
Improving Robustness in Real World Neural Machine Translation Engines
... of machine translation, we are constantly training en- gines for a variety of uses, languages, and content ...of Neural MT engines. On the whole, Neural MT cures many ills of other MT ... See full document
7
A Study of Reinforcement Learning for Neural Machine Translation
... t learning (RL) is an effective approach for improving the performance of neural machine translation (NMT) ...in real-world systems where deep models and large datasets are lever- ... See full document
10
Multi agent Learning for Neural Machine Translation
... Conventional Neural Machine Translation (NMT) models benefit from the training with an additional agent, ...dual learning, and bidirectional decoding with one agent decod- ing from left to ... See full document
10
Imitation Learning for Non Autoregressive Neural Machine Translation
... the translation quality is largely sacrificed since the intrinsic dependency within the natural language sentence is ...inference time is generated autoregressively, and finally decode the output sequence ... See full document
9
Towards Linear Time Neural Machine Translation with Capsule Networks
... In general, there are several research lines of NMT architectures, among which the Enc-Dec NMT (Sutskever et al., 2014) and the Enc-Dec Att NMT are of typical representation (Bahdanau et al., 2014; Wu et al., 2016; ... See full document
10
Competence based Curriculum Learning for Neural Machine Translation
... large neural networks that are not only slow to train, but also often require many heuristics and optimization tricks, such as specialized learning rate schedules and large batch ...curriculum ... See full document
11
Transfer Learning for Low Resource Neural Machine Translation
... Transfer learning uses knowledge from a learned task to improve the performance on a related task, typically reducing the amount of required training data (Torrey and Shavlik, 2009; Pan and Yang, ...transfer ... See full document
8
Demonstration of a Neural Machine Translation System with Online Learning for Translators
... the translation industry. Nowadays, translation companies must be more competitive than ever and meet fast commercial ...of time. Machine translation (MT) can help them to achieve this ... See full document
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