[PDF] Top 20 Document Context Neural Machine Translation with Memory Networks
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Document Context Neural Machine Translation with Memory Networks
... our document-level neural machine translation model in C++ using the DyNet li- brary (Neubig et ...source memory, the sentence and document-level bidirectional RNNs use LSTM and ... See full document
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Machine Translation Evaluation using Recurrent Neural Networks
... Recurrent Neural Networks allow processing of arbitrary length sequences, but early RNNs had the problem of vanishing and exploding gradi- ents (Bengio et ...a memory cell composed of a unit called ... See full document
5
Paraphrasing Revisited with Neural Machine Translation
... of neural machine translation, a new approach to machine transla- tion based purely on neural networks (Kalchbren- ner and Blunsom, 2013; Bahdanau et ...deep neural ... See full document
13
Exploiting Cross Sentence Context for Neural Machine Translation
... In translation, considering the document as a whole can help to resolve ambiguities and ...cross-sentence context-aware ap- proach and investigate the influence of his- torical contextual information ... See full document
6
Neural Machine Translation with Extended Context
... of machine translation handle sen- tences in isolation and discard any information be- yond sentence ...coherence, document-wide translation con- sistency, the proper handling of referential ... See full document
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Graph Based Translation Memory for Neural Machine Translation
... There are many works involving graph structures to improve NMT. For instance, Stahlberg et al. (2016) implicitly em- ploys a translation graph (i.e. lattice) generated by SMT by rewarding the words which have high ... See full document
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Context Aware Neural Machine Translation Decoding
... a neural trans- lation model and the context semantics en- closed in a semantic space language model based on word ...any neural machine translation ...current document-level ... See full document
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Context Aware Monolingual Repair for Neural Machine Translation
... in context, these translations may end up being inconsistent with each ...in context of each ...monolingual document-level data in the target ...the translation of several contex- tual ... See full document
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Context Aware Smoothing for Neural Machine Translation
... novel context- aware smoothing method to dynamically learn a Context-Aware Representation (CAR) for each word (including OOV words) depending on its local context words in a ...the translation ... See full document
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Selective Attention for Context aware Neural Machine Translation
... quality translation for a full document. Recent works in context-aware NMT consider only a few previous sentences as context and may not scale to entire docu- ...for context-aware NMT ... See full document
11
Data augmentation using back translation for context aware neural machine translation
... on context-aware NMT models. We con- duct translation experiments on two language pairs for both directions: Japanese → English (hereafter, ja→en), English→Japanese (en→ja), French→English (fr→en), and ... See full document
10
Document Level Adaptation for Neural Machine Translation
... “one translation per discourse” hypothesis holds within a particular ...a document should result in a well-tailored sys- tem that is better at translating subsequent sen- ...a document as producing a ... See full document
10
Residual Stacking of RNNs for Neural Machine Translation
... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...end-to-end neural network ... See full document
7
Document Level Information as Side Constraints for Improved Neural Patent Translation
... using document information as side constraints for phrase-based and neural translation models for patent ...translation. Document information was incorporated into the model as phrase-, ... See full document
12
Combining Local and Document Level Context: The LMU Munich Neural Machine Translation System at WMT19
... larger context. We borrow on previous work on context-aware NMT (Stojanovski and Fraser, 2018; Voita et ...the context since we want this part of the model to be able to do coreference resolution ... See full document
7
Context Gates for Neural Machine Translation
... or document-level context in an RNN LM (Mikolov and Zweig, 2012; Ji et ...sentence context is “fused” with the input to the ...chine translation, while theirs focuses on integrating auxiliary ... See full document
14
When and Why is Document level Context Useful in Neural Machine Translation?
... the context sen- tences which are then integrated into the baseli- ne model ...of context encoding; one can use recurrent or self-attentive encoders with a variable number of layers, or just word embeddings ... See full document
11
Memory Augmented Neural Networks for Machine Translation
... we use the 2015 International Workshop on Spo- ken Language’s dataset of English to Vietnamese translated TED talks. We follow (Luong and Man- ning, 2015) in their preprocessing and setup and use their results as a ... See full document
10
Hierarchical Modeling of Global Context for Document Level Neural Machine Translation
... Document-level machine translation (MT) re- mains challenging due to the difficulty in effi- ciently using document context for ...global context for document- level ... See full document
10
Combining Translation Memory with Neural Machine Translation
... plicated translation pairs between ...all translation pairs, which guarantees that these sentence-level translation pairs are inde- pendently sampled from the original ...lation memory ... See full document
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