Results 91 to 100 of about 418,591 (309)

Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability [PDF]

Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track, pages 195-204, September 4-8, 2023, Macau SAR, China, 2023
This paper explores the influence of integrating the purpose of the translation and the target audience into prompts on the quality of translations produced by ChatGPT. Drawing on previous translation studies, industry practices, and ISO standards, the research underscores the significance of the pre-production phase in the translation process.
arxiv  

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Dual-channel deep graph convolutional neural networks

Frontiers in Artificial Intelligence
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of various subsequent machine learning tasks.
Zhonglin Ye, Zhonglin Ye, Zhonglin Ye, Zhonglin Ye, Zhuoran Li, Zhuoran Li, Zhuoran Li, Zhuoran Li, Gege Li, Gege Li, Gege Li, Gege Li, Haixing Zhao, Haixing Zhao, Haixing Zhao, Haixing Zhao   +15 more
doaj   +1 more source

Six Challenges for Neural Machine Translation [PDF]

arXiv, 2017
We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search. We show both deficiencies and improvements over the quality of phrase-based statistical machine translation.
arxiv  

Increasing the throughput of machine translation systems using clouds [PDF]

arXiv, 2016
The manuscript presents an experiment at implementation of a Machine Translation system in a MapReduce model. The empirical evaluation was done using fully implemented translation systems embedded into the MapReduce programming model. Two machine translation paradigms were studied: shallow transfer Rule Based Machine Translation and Statistical Machine
arxiv  

Machine Translation at Work

, 2013
Machine translation (MT) is - not only historically - a prime application of language technology. After years of seeming stagnation, the price pressure on language service providers (LSPs) and the increased translation need have led to new momentum for the inclusion of MT in industrial translation workflows.
Hans Uszkoreit, Aljoscha Burchardt, Eleftherios Avramidis, Cindy Tscherwinka   +3 more
openaire   +3 more sources

Body contour adaptation for weight‐loss and bolus for head and neck radiotherapy on Ethos version 2.0 and HyperSight: Synthetic CT versus direct calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose In radiotherapy, body contour inaccuracies may compromise the delineation of adjacent structures and affect calculated dose. Here, we evaluate the un‐editable body contours auto‐generated by Ethos versions 1.0 (v1) and 2.0 (v2) treatment planning softwares for two simulated cases: weight‐loss and bolus application, particularly ...
Abby Yashayaeva, R. Lee MacDonald, Amanda Cherpak   +2 more
wiley   +1 more source

Study on the comprehensive evaluation method of machine translation quality

MATEC Web of Conferences, 2018
The accurate evaluation of machine translation quality is the main basis of machine translation systems research and development. Based on the analysis of three translation quality assessment factors, i.e.
Yiqun Sun
doaj   +1 more source

Development of an automated CBCT‐based simulation‐free platform for expedited palliative radiotherapy on a conventional linear accelerator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Conventional approaches for emergent or expedited palliative radiotherapy (RT) involve the application of cumbersome vendor‐provided solutions and/or multiple patient appointments to complete the RT workflow within a compressed timeframe.
Riley C. Tegtmeier, Edward L. Clouser Jr., Quan Chen, Courtney R. Buckey, Suzanne J. Chungbin, Christopher J. Kutyreff, Jose S. Aguilar, Amber L. Labbe, Brooke L. Horning, William G. Rule, Sujay A. Vora, Yi Rong   +11 more
wiley   +1 more source