[PDF] Top 20 Document Level Adaptation for Neural Machine Translation
Has 10000 "Document Level Adaptation for Neural Machine Translation" found on our website. Below are the top 20 most common "Document Level Adaptation for Neural Machine Translation".
Document Level Adaptation for Neural Machine Translation
... the machine translation community and is relevant both to the translation of new words and to more general improvements in translation ...domain adaptation for NMT sys- tems by training ... See full document
10
Sentence Level Adaptation for Low Resource Neural Machine Translation
... domain adaptation where a general NMT sys- tem is trained on a large amounts of out-of-domain parallel data; then, the general model is adapted for a particular ...fine-grained document-level ... See full document
9
Microsoft Translator at WMT 2019: Towards Large Scale Document Level Neural Machine Translation
... It is currently not quite clear to us how to inter- pret results on the split test sets. One would assume that improvements on the original source language indicate actual translation quality improvements, but ... See full document
9
Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level
... We examine, through experiments, the effectiveness of using LC and RC ratios alone and integrating them into other evaluation metrics for MT evalua- tion at the document and system levels. Three evalu- ation ... See full document
9
Combining Local and Document Level Context: The LMU Munich Neural Machine Translation System at WMT19
... Taking into consideration different discourse- level phenomena, we develop a Transformer (Vaswani et al., 2017) which can richly model the previous sentence, but also takes advantage of larger context. We borrow ... See full document
7
Sentence Level Agreement for Neural Machine Translation
... Speech Translation Technology” of the Ministry of Internal Affairs and Communications (MIC), ...“Unsupervised Neural Machine Translation in Universal Scenarios” and NICT tenure-track ... See full document
7
Curriculum Learning for Domain Adaptation in Neural Machine Translation
... Learning curves (Figure 4) further illustrate the advantage of our method. Continued training on in-domain data only starts from a strong initial- ization (thanks to pre-training on large general domain data) but heavily ... See full document
13
Instance Weighting for Neural Machine Translation Domain Adaptation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document
7
Measuring Immediate Adaptation Performance for Neural Machine Translation
... and adaptation of a fixed subset of tensors (fixed and ...other adaptation methods, implying that it of- ten must observe a translated term more than once to acquire ... See full document
9
Novel Document Level Features for Statistical Machine Translation
... and document level MaxEnt ...ment level features, LM, and other components are tuned with PRO algorithm (Hopkins and May , 2011) to minimize the score of ... See full document
5
Multi Domain Neural Machine Translation through Unsupervised Adaptation
... out test corpus. Duplicated sentence pairs are re- moved from each corpus separately, resulting in a total of 3,527 dev and 6,962 test corpora for all the domains. To analyze the performance of the sys- tem on generic ... See full document
11
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation
... a neural machine translation system (the encoder, decoder, and each embedding space) and consider each component’s contri- bution to, and capacity for, domain ... See full document
9
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexan- dra Constantin, and Evan ... See full document
7
Document Level Information as Side Constraints for Improved Neural Patent Translation
... input document, it is our intuition that the model should prefer translations that have been extracted from doc- uments with the same ...as translation candidates for the word Prallplatten (see Table 5, E ... See full document
12
Cache based Document level Statistical Machine Translation
... Statistical machine translation systems are usually trained on a large amount of bilingual sentence pairs and translate one sentence at a time, ignoring document-level ...to ... See full document
11
Document Level Machine Translation with Word Vector Models
... to document-level translation have started to ...better translation of ...source document and, taking this coherence chain as a reference, they predict the target coherence chain by ... See full document
8
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... subword-level neural ma- chine translation (NMT) models are applied in this task and further tuned by pseudo-parallel data generated from a phrase-based statistical machine translation ... See full document
8
Domain Differential Adaptation for Neural Machine Translation
... The main intuition behind our method is that models with different data requirements, namely LMs and NMT models, exhibit similar behavior when trained on the same domain, but there is little correlation between models ... See full document
11
Extreme Adaptation for Personalized Neural Machine Translation
... Domain adaptation techniques for MT often rely on data selection (Moore and Lewis, 2010; Li et al., 2010; Chen et al., 2017; Wang et al., 2017), tuning (Luong and Manning, 2015; Miceli Barone et al., 2017), or ... See full document
7
Simple, Scalable Adaptation for Neural Machine Translation
... While several approaches have been explored in literature (Chu and Wang, 2018), full fine- tuning of model parameters remains the dominant approach for adapting to new domains and lan- guages (Luong and Manning, 2015; ... See full document
11
Related subjects