Results 21 to 30 of about 418,591 (309)

A small footprint couch‐top support device for image‐guided radiotherapy of heavy patients

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Purpose Patients with body weights close to or above 400 lbs present unique challenges in radiation therapy since the weight limit of most treatment couches decreases as the couch‐top extends toward the treatment gantry. The purpose of this work was to develop a small footprint couch‐top support platform to safely perform image‐guided ...
Huixiao Chen   +5 more
wiley   +1 more source

Google Translate and DeepL: Breaking taboos in translator training. Observational study and analysis

open access: yesIbérica, 2023
In recent decades, when we read about the use of machine translation, we were told that it was not suitable for professional translation. The reason was that machine translation used to produce poor results as long as it was not applied to controlled ...
María-José Varela Salinas, Ruth Burbat
doaj   +1 more source

Pre-editing English news texts for machine translation into Russian

open access: yesИсследования языка и современное гуманитарное знание, 2022
The paper discusses the possible advantages of pre-editing English news texts for machine translation into Russian. Pre-editing is defined as a process of adapting source text in order to reach a better quality of machine translation.
Елена Коканова   +2 more
doaj   +1 more source

Multi-View Network Representation Learning Algorithm Research

open access: yesAlgorithms, 2019
Network representation learning is a key research field in network data mining. In this paper, we propose a novel multi-view network representation algorithm (MVNR), which embeds multi-scale relations of network vertices into the low dimensional ...
Zhonglin Ye   +3 more
doaj   +1 more source

Gender Bias in Machine Translation [PDF]

open access: yesTransactions of the Association for Computational Linguistics, 2021
AbstractMachine translation (MT) technology has facilitated our daily tasks by providing accessible shortcuts for gathering, processing, and communicating information. However, it can suffer from biases that harm users and society at large. As a relatively new field of inquiry, studies of gender bias in MT still lack cohesion.
Savoldi B.   +4 more
openaire   +6 more sources

A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation

open access: yesThe Scientific World Journal, 2014
Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang   +4 more
doaj   +1 more source

Translating Phrases in Neural Machine Translation [PDF]

open access: yesProceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Accepted by EMNLP ...
Deyi Xiong   +3 more
openaire   +3 more sources

Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation

open access: yesThe Scientific World Journal, 2014
With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han   +4 more
doaj   +1 more source

A Relationship: Word Alignment, Phrase Table, and Translation Quality

open access: yesThe Scientific World Journal, 2014
In the last years, researchers conducted several studies to evaluate the machine translation quality based on the relationship between word alignments and phrase table.
Liang Tian   +3 more
doaj   +1 more source

Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus

open access: yesThe Scientific World Journal, 2014
This paper presents a novel approach for unsupervised shallow parsing model trained on the unannotated Chinese text of parallel Chinese-English corpus. In this approach, no information of the Chinese side is applied. The exploitation of graph-based label
Ling Zhu, Derek F. Wong, Lidia S. Chao
doaj   +1 more source

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