[PDF] Top 20 Context Gates for Neural Machine Translation
Has 10000 "Context Gates for Neural Machine Translation" found on our website. Below are the top 20 most common "Context Gates for Neural Machine Translation".
Context Gates for Neural Machine Translation
... In machine translation, there are certain syntactic elements of the target language that are missing in the source ...of translation prob- abilities to include null-generated target words in ... See full document
14
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
11
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 ...document context (Maruf and ... See full document
11
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
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... include context of the gender of the ambiguous “friend” in the English-Spanish trans- ...proper translation has to be derived from ...the translation sys- tem is gender biased, the context is ... See full document
8
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 neural ... See full document
10
When and Why is Document level Context Useful in Neural Machine Translation?
... The results are shown in the lower part of Ta- ble 3. Context encoding without any sequenti- al modeling (the last row) shows indeed compa- rable performance to using a full 6-layer enco- der. This simplified ... See full document
11
Hungarian translators’ perceptions of Neural Machine Translation in the European Commission
... In this context, it was also claimed that PE was killing translators’ creativity. The word ‘cre- ativity’ seemed to be used here in the sense of being able to produce a new text, a process ac- companied by ... See full document
7
Pre Translation for Neural Machine Translation
... One main drawback of this approach is that the whole source sentence has to be stored in a fixed- size context vector. To overcome this problem, (Bahdanau et al., 2014) introduced the soft attention mechanism. ... See full document
9
A Large Scale Test Set for the Evaluation of Context Aware Pronoun Translation in Neural Machine Translation
... sophisticated context-aware Transformer that uses source con- text ...and context sentence are first encoded independently, and then a sin- gle attention layer and a gating function are used to produce a ... See full document
12
Context aware Neural Machine Translation with Coreference Information
... Table 1 shows the results 7 . In this table, we can observe that our proposed models, Cor-m and Cor-g, outperformed the baseline Concat in terms of BLEU scores at every unit length. Interestingly, at the setting of n = ... See full document
6
Context Aware Smoothing for Neural Machine Translation
... discrete translation lexicons into NMT to imrpove the translations of these low-frequency ...the translation of OOV itself and ignored the other negative effect caused by the OOV, such as the translations ... See full document
10
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
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
11
Neural Machine Translation with Extended Context
... of machine translation handle sen- tences in isolation and discard any information be- yond sentence ...document-wide translation con- sistency, the proper handling of referential ele- ments such as ... 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
Document Context Neural Machine Translation with Memory Networks
... Output Analysis To better understand the dual memory model, we look at the first sentence exam- ple in Table 7. It can be seen that the source sen- tence has the noun “Qimonda” but the sentence- level NMT model fails to ... See full document
10
Context Aware Monolingual Repair for Neural Machine Translation
... to context- aware machine translation using only monolin- gual document-level ...in context of each ...in translation quality as measured by BLEU, targeted contrastive evaluation of ... See full document
10
Variational Neural Machine Translation
... Chinese-English Translation Table 1 summarizes the BLEU scores of different systems on the Chinese-English translation ...improves translation quality in terms of BLEU on most cases, and ob- tains ... See full document
10
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