[PDF] Top 20 Context Aware Smoothing for Neural Machine Translation
Has 10000 "Context Aware Smoothing for Neural Machine Translation" found on our website. Below are the top 20 most common "Context Aware Smoothing for Neural Machine Translation".
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 ... See full document
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Improved Neural Machine Translation with a Syntax Aware Encoder and Decoder
... Recently, many studies have focused on using ex- plicit syntactic tree structure to help learn sen- tence representations for various sentence classifi- cation tasks. For example, Teng and Zhang (2016) and Kokkinos and ... See full document
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Graph Convolutional Encoders for Syntax aware Neural Machine Translation
... propose neural string-to-tree by predicting linearized parse ...on translation data, they also ex- periment with pre-training the encoder using tree- bank annotation and report modest improvements on ... See full document
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A Simple and Effective Approach to Coverage Aware Neural Machine Translation
... Another interesting question is whether the N- MT systems can generate translations with ap- propriate lengths. To seek its answer, we stud- ied the length difference between the MT output and the shortest reference. ... See full document
6
Document Context Neural Machine Translation with Memory Networks
... document-level neural ma- chine translation model which takes both source and target document context into account using memory ...a neural translation model equipped with two memory ... See full document
10
Decision Trees for Lexical Smoothing in Statistical Machine Translation
... chine translation, although to a lesser ...the context-dependent source ...source context clusters for word align- ments, we use the attribute-dependent source words directly in ... 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
... spectively. During the training process, we ran 400 iterations of the Gibbs sampling algorithm. For doc- uments to be translated, we first ran 300 rounds in a burn-in step to let the probability distributions con- verge, ... See full document
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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
Syntax Enhanced Neural Machine Translation with Syntax Aware Word Representations
... in neural machine translation ...English-Vietnamese translation tasks, re- ...Chinese-English translation and 0.80 point for English-Vietnamese translation, ... See full document
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Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... the translation also depends on the professions from the Occupations test and its predicted ...the context of “him”, so we focus the analysis on the context of ... See full document
8
Sense Aware Statistical Machine Translation using Adaptive Context Dependent Clustering
... Several other studies integrated additional infor- mation from a larger context using factored-based MT models (Koehn and Hoang, 2007). Birch et al. (2007) used supertags from a Combinatorial Cat- egorial Grammar ... See full document
10
Name aware Machine Translation
... name’s context; therefore it could mistakenly break some context phrase struc- tures due to name translation or alignment ...from translation of context words; therefore af- ter ... See full document
11
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 ...attentional neural net- work. Our ... See full document
8
Discourse-aware Statistical Machine Translation as a Context-sensitive Spell Checker
... A language-independent approach based on a SMT framework is presented by (Ehsan & Faili, 2013). This method achieved the state-of-the-art results for grammar checking and context- sensitive spell checking for ... See full document
8
When a Good Translation is Wrong in Context: Context Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion
... CADec is composed of a stack of N = 6 identi- cal layers and is similar to the decoder of the orig- inal Transformer. It has a masked self-attention layer and attention to encoder outputs, and addi- tionally each layer ... See full document
15
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 ... See full document
11
Data augmentation using back translation for context aware neural machine translation
... en → ja models The additional data did not con- tribute to the translation quality, which indicates that the data augmentation using back-translation was not effective. This is partly due to difficult ja→en ... See full document
10
Context Aware Neural Machine Translation Learns Anaphora Resolution
... statistical machine transla- tion being largely supplanted with neural machine translation (NMT) models trained in an end-to- end fashion, an alternative is to directly provide additional ... See full document
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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 and ... See full document
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