[PDF] Top 20 Context aware Neural Machine Translation with Coreference Information
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Context aware Neural Machine Translation with Coreference Information
... present neural machine translation mod- els for translating a sentence in a text by us- ing a graph-based encoder which can consider coreference relations provided within the text ... See full document
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Exploiting Sentential Context for Neural Machine Translation
... side context, which are summarized into a senten- tial context ...source-side context vector is fed to the decoder, so that translation at each step is conditioned on the whole source-side ... See full document
7
A Context Aware Topic Model for Statistical Machine Translation
... Compared to previous lexical selection models, CATM jointly models both local contextual words and global topics. Such a joint modeling also en- ables CATM to capture their inner correlations at the model level. In order ... See full document
10
Neural Machine Translation with Extended Context
... of machine translation handle sen- tences in isolation and discard any information be- yond sentence ...MT aware of discourse-level phenomena appeared to be difficult (Hardmeier, 2012; Carpuat ... See full document
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Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments
... and coreference, but un- like their work, we do not depend on manually cre- ated ...for context-aware NMT that utilize a separate mecha- nism to handle extra-sentential ...cross-sentence ... See full document
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Context Gates for Neural Machine Translation
... In neural machine translation (NMT), genera- tion of a target word depends on both source and target ...a translation while target contexts affect the flu- ...source context and ... See full document
14
A Character Aware Encoder for Neural Machine Translation
... character-aware neural machine translation (NMT) model that views the input sequences as sequences of characters rather than ...word-level information from the input sequences of ... See full document
8
A Principled Approach to Context Aware Machine Translation
... to context-aware machine ...a translation hypothesis given the source input by incorporating the source-context information as an additional conditioning ...the ... See full document
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Context Aware Neural Model for Temporal Information Extraction
... a context-aware neural net- work model for temporal information ex- traction, with a uniform architecture for event-event, event-timex and timex-timex ...Global Context Layer (GCL), ... See full document
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The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017
... attention neural machine translation model can be benefit by constraining the attentional process to adequately cover the source words (Sankaran et ...alignment information from the pre- vious ... See full document
8
Syntax Enhanced Neural Machine Translation with Syntax Aware Word Representations
... head information with sequential words together as source encoder inputs, where their input trees are latent depen- dency ...convolutional neural structures to repre- sent source dependency trees, where ... See full document
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Exploiting Cross Sentence Context for Neural Machine Translation
... Auxiliary Context mechanism for in- corporating cross-sentence context, there are two main differences: 1) we have separate parameters to better control the effects of the cross- and intra- sentence ... See full document
6
Document Context Neural Machine Translation with Memory Networks
... underlying information in the source sentence but the dual memory model’s transla- tion quality surpasses ...document context model while the local context model by Wang et ...word-level ... See full document
10
Graph Convolutional Encoders for Syntax aware Neural Machine Translation
... ing information only in a very crude way (through the position embeddings), the structural informa- tion provided by GCN should be highly ...convolutional neural networks to learn word ...local ... See full document
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A Large Scale Test Set for the Evaluation of Context Aware Pronoun Translation in Neural Machine Translation
... It is unfortunate, then, that current NMT sys- tems generally operate on the sentence level (Vaswani et al., 2017; Gehring et al., 2017; Hieber et al., 2017). Documents are translated sentence- by-sentence for practical ... See full document
12
Improved Neural Machine Translation with a Syntax Aware Encoder and Decoder
... more information than the leaf node annotations, the attention model prefers to attend to the non-leaf nodes, which may aggravate the over-translation problem (translating the same part of the sentence more ... See full document
10
Context Aware Monolingual Repair for Neural Machine Translation
... contextual information and handle the phenomenon under ...reference translation from the data) and several contrastive translations which differ from the true one only in one specific ...only context ... See full document
10
Context Aware Neural Machine Translation Learns Anaphora Resolution
... Standard machine translation systems pro- cess sentences in isolation and hence ig- nore extra-sentential information, even though extended context can both prevent mistakes in ambiguous cases ... See full document
11
Selective Attention for Context aware Neural Machine Translation
... document- context on both source and target-side using mem- ory networks (Maruf and Haffari, ...previous context to use and there has been no comparison between the online and offline setting except using ... See full document
11
Context Aware Neural Machine Translation Decoding
... general translation quality, allowing to rank them as ...the translation from the fused sys- tem is better than the baseline, and they consider the quality of both translations to tie 19% of the ... See full document
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