Results 71 to 80 of about 53,972 (305)

Ancient Korean Neural Machine Translation

open access: yesIEEE 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

Compositional Source Word Representations for Neural Machine Translation [PDF]

open access: yes, 2018
The requirement for neural machine translation (NMT) models to use fixed-size input and output vocabularies plays an important role for their accuracy and generalization capability.
duygu Ataman   +5 more
core  

Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models

open access: yes, 2019
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate from source to target language. While this approach grants total control over the output of the system,
Masoud, Maraim   +7 more
core   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Character-based Neural Machine Translation [PDF]

open access: yesProceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016
Accepted for publication at ACL ...
Ruiz Costa-Jussà, Marta   +1 more
openaire   +3 more sources

Neural Network Machine Translation Method Based on Unsupervised Domain Adaptation

open access: yesComplexity, 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

open access: yesJournal 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

Neural Machine Translation Research on Syntactic Information Fusion Based on the Field of Electrical Engineering

open access: yesApplied 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

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

open access: yesFEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

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