General Pediatricians' Performance of Accreditation Agency's Recommended Procedures: A Complementary Analysis Using Administrative Data and the Knowledge Translation Model.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Continuing Education in the Health Professions"
DOI: 10.1097/ceh.0000000000000284
Abstract: INTRODUCTION The Accreditation Council for Graduate Medical Education provided guidelines, in 2013, regarding 13 clinical procedures pediatric residents should learn. Previous studies show that, when asked, general pediatricians (GPeds) self-report performing these procedures infrequently. When… read more here.
Keywords: knowledge translation; general pediatricians; translation model;
Signal-to-Data Translation Model for Robust Backscatter Communications
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DOI: 10.1109/access.2022.3155879
Abstract: Backscatter communication is a promising technology in the hyper-connected era. Because of its ultra-low energy consumption, it can be used in various applications, but there are performance issues due to high uncertainty. We propose a… read more here.
Keywords: backscatter; translation model; model; signal data ... See more keywords
A Non-Autoregressive Neural Machine Translation Model With Iterative Length Update of Target Sentence
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DOI: 10.1109/access.2022.3169419
Abstract: The non-autoregressive decoders in neural machine translation are paid increasing attention due to their faster decoding than autoregressive decoders. However, their apparent problem is a low performance which is mainly originated from wrong prediction about… read more here.
Keywords: target sentence; non autoregressive; translation model; length ... See more keywords
A Neural Machine Translation Model for Arabic Dialects That Utilises Multitask Learning (MTL)
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DOI: 10.1155/2018/7534712
Abstract: In this research article, we study the problem of employing a neural machine translation model to translate Arabic dialects to modern standard Arabic. The proposed solution of the neural machine translation model is prompted by… read more here.
Keywords: machine translation; model; translation; neural machine ... See more keywords
Analysis of Chinese Machine Translation Training Based on Deep Learning Technology
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DOI: 10.1155/2022/6502831
Abstract: With the advent of the information age, people can establish good communication through Internet technology. Mechanical translation has become a key means to solve people's communication problems. However, there are still obstacles to communication between… read more here.
Keywords: technology; translation model; based deep; chinese english ... See more keywords
A Comparative Study of Text Genres in English-Chinese Translation Effects Based on Deep Learning LSTM
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DOI: 10.1155/2022/7068406
Abstract: In recent years, neural network-based English-Chinese translation models have gradually supplanted traditional translation methods. The neural translation model primarily models the entire translation process using the “encoder-attention-decoder” structure. Simultaneously, grammar knowledge is essential for translation,… read more here.
Keywords: chinese translation; translation model; translation models; model ... See more keywords
The use of machine translation algorithm based on residual and LSTM neural network in translation teaching
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DOI: 10.1371/journal.pone.0240663
Abstract: With the rapid development of big data and deep learning, breakthroughs have been made in phonetic and textual research, the two fundamental attributes of language. Language is an essential medium of information exchange in teaching… read more here.
Keywords: teaching; model; translation; neural network ... See more keywords