[PDF] Top 20 Hierarchical Modeling of Global Context for Document Level Neural Machine Translation
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Hierarchical Modeling of Global Context for Document Level Neural Machine Translation
... encoder modeling intra-sentence dependen- cies and a document encoder modeling document- level inter-sentence ...of translation bias propagation caused by improper ... See full document
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Enhancing Context Modeling with a Query Guided Capsule Network for Document level Translation
... based Neural machine trans- lation (NMT) models (Sutskever et ...a document-level input which requires reference resolution, the consistency of tenses and noun expressions and so ...consistent ... See full document
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Selective Attention for Context aware Neural Machine Translation
... recently, context-aware NMT has been gaining significant traction from the MT commu- nity with majority of works coming out in the past two ...as context (Jean et ...full document context ... 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 ...coherence, document-wide translation con- sistency, the proper handling of referential ... See full document
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Hierarchical Recurrent Neural Network for Document Modeling
... sentence level, we evaluate our model with a sentence ordering task and the result shows our method can outper- form a maximum entropy based and another state- of-the-art ...word level, we compare our ... See full document
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Exploiting Cross Sentence Context for Neural Machine Translation
... the context defined by a source sentence (Choi et ...in document- level translation, where a repeated term should keep the same translation throughout the whole document (Xiao et ... See full document
6
Modeling Term Translation for Document informed Machine Translation
... Term translation is of great importance for statistical machine translation (SMT), es- pecially document-informed ...term translation in the context of document- informed ... See full document
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Context Gates for Neural Machine Translation
... Language Modeling: A thread of work in lan- guage modeling (LM) attempts to exploit auxiliary sentence-level or document-level context in an RNN LM (Mikolov and Zweig, 2012; Ji ... See full document
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Context Aware Monolingual Repair for Neural Machine Translation
... 6.2 One-way vs round-trip translations In this section, we discuss the limitations of us- ing only monolingual data to model inconsisten- cies between sentence-level translations. In Sec- tion 5.2 we observed a ... See full document
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Microsoft Translator at WMT 2019: Towards Large Scale Document Level Neural Machine Translation
... Table 7 contains preliminary human evaluation results shared by the organizers, see Bojar et al. (2019) for a full version and discussion. Our doc- ument systems are two out of three submissions that seem to outperform ... See full document
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Context Aware Neural Machine Translation Decoding
... sophisticated context- aware approaches propose to modify the NMT ar- ...as context sentence the previous source sentence, showing how NMT systems can also benefit from larger ...sentence ... See full document
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Modeling Source Syntax for Neural Machine Translation
... in neural machine trans- lation (NMT) has certain capability of im- plicitly learning syntactic information of source sentences, this paper shows that source syntax can be explicitly incorpo- rated into NMT ... See full document
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Modeling Coherence for Discourse Neural Machine Translation
... external context summarized from entire text, trained by a discourse-aware reward can generate more accurate and discourse coherent ...exploring global context to refine the translation, we ... See full document
8
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 ...architecture level, in contrast to the single-encoder ...of context encoding; one can use recurrent or self-attentive ... See full document
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Combining Local and Document Level Context: The LMU Munich Neural Machine Translation System at WMT19
... 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
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
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Document Context Neural Machine Translation with Memory Networks
... a document-level neural ma- chine translation model which takes both source and target document context into account using memory ...a neural translation model ... See full document
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Document Level Machine Translation with Word Vector Models
... recurrent neural networks (RNN) to improve decoder ...word level, one based on word alignments and other one ...about context issues of a document al- though they do take into account both ... See full document
8
Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level
... to translation quality, so as to identify, apart from its use frequency, other significant aspects for MT evaluation at the docu- ment ...direct translation of those in a source text that do not fit in the ... See full document
9
Sentence Level Agreement for Neural Machine Translation
... of Global Communications Plan: Research, Development, and Social Demonstration of Multilingual Speech Translation Technology” of the Ministry of Internal Affairs and Communications (MIC), ...“Unsupervised ... See full document
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