Results 91 to 100 of about 53,972 (305)
Improving Transformer-Based Neural Machine Translation with Prior Alignments
Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically ...
Thien Nguyen +3 more
doaj +1 more source
Adapting machine translation education to the neural era : a case study of MT quality assessment
The use of automatic evaluation metrics to is well established in the translation industry. Whereas it is relatively easy to cover the word- and character-based metrics in an MT course, it is less obvious to integrate the newer neural metrics.
Vanroy, BramUGent0001615296528020026585439747705382060000-0002-4622-8364C50B0474-7EE0-11E7-B38D-2BA4AD28A064 +18 more
core
Large-scale reordering model for statistical machine translation using dual multinomial logistic regression [PDF]
Phrase reordering is a challenge for statistical machine translation systems. Posing phrase movements as a prediction problem using contextual features modeled by maximum entropy-based classifier is superior to the commonly used lexicalized reordering ...
Niranjan, Mahesan +5 more
core +1 more source
Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA
PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro +1 more
wiley +1 more source
The use of machine translation has become ubiquitous across various translation practices, especially with the advent of neural machine translation and the integration of deep learning and artificial intelligence in translation program development ...
Sofiane Djeffal
doaj +1 more source
Neural machine translation system for the Kazakh language based on synthetic corpora
The lack of big parallel data is present for the Kazakh language. This problem seriously impairs the quality of machine translation from and into Kazakh.
Tukeyev Ualsher +2 more
doaj +1 more source
TransPerfect’s Private Neural Machine Translation Portal [PDF]
We will present our solution to replace the usage of publicly available machine translation (MT) services in companies where privacy and confidentiality are key.
Masa, José, Bartolomé, Diego
core
Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim +4 more
wiley +1 more source
Memory-augmented Neural Machine Translation [PDF]
Neural machine translation (NMT) has achieved notable success in recent times, however it is also widely recognized that this approach has limitations with handling infrequent words and word pairs. This paper presents a novel memory-augmented NMT (M-NMT) architecture, which stores knowledge about how words (usually infrequently encountered ones) should
Feng, Yang +4 more
openaire +4 more sources
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley +1 more source

