Results 51 to 60 of about 240,752 (266)
Neural Machine Translation into Language Varieties
, 2018 Both research and commercial machine translation have so far neglected the importance of properly handling the spelling, lexical and grammar divergences occurring among language varieties.
Erofeeva, Aliia +2 more
core +1 more source
Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Ancient Korean Neural Machine Translation
IEEE Access, 2020 Translation of the languages of ancient times can serve as a source for the content of various digital media and can be helpful in various fields such as natural phenomena, medicine, and science.
Chanjun Park +3 more
doaj +1 more source
A Challenge Set Approach to Evaluating Machine Translation
, 2017 Neural machine translation represents an exciting leap forward in translation quality. But what longstanding weaknesses does it resolve, and which remain?
Cherry, Colin +2 more
core +1 more source
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]
PeerJ Computer ScienceMachine translation has made significant progress in several Indian languages; however, some, known as computationally low-resourced languages, have seen very little work in this field.
Joginder Kumar +7 more
doaj +2 more sources
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Neural Network Machine Translation Method Based on Unsupervised Domain Adaptation
Complexity, 2020 Relying on large-scale parallel corpora, neural machine translation has achieved great success in certain language pairs. However, the acquisition of high-quality parallel corpus is one of the main difficulties in machine translation research.
Rui Wang
doaj +1 more source
Machine translation of English speech: Comparison of multiple algorithms
Journal of Intelligent Systems, 2022 In order to improve the efficiency of the English translation, machine translation is gradually and widely used. This study briefly introduces the neural network algorithm for speech recognition.
Wu Yijun, Qin Yonghong
doaj +1 more source
Applied Sciences, 2023 Neural machine translation has achieved good translation results, but needs further improvement in low-resource and domain-specific translation. To this end, the paper proposed to incorporate source language syntactic information into neural machine ...
Yanna Sang, Yuan Chen, Juwei Zhang
doaj +1 more source