Results 41 to 50 of about 45,590 (288)

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 ...
Wang, Xing   +3 more
openaire   +2 more sources

A scientometric study of three decades of machine translation research: Trending issues, hotspot research, and co-citation analysis

open access: yesCogent Arts & Humanities, 2023
This study aims to examine machine translation research in journals indexed in the Web of Science to find out the research trending issue, hotspot areas of research, and document co-citation analysis. To this end, 541 documents published between 1992 and
Mohammed Ali Mohsen   +2 more
doaj   +1 more source

Syntax-Informed Interactive Neural Machine Translation [PDF]

open access: yes2020 International Joint Conference on Neural Networks (IJCNN), 2020
In interactive machine translation (MT), human translators correct errors in automatic translations in collaboration with the MT systems, and this is an effective way to improve productivity gain in translation. Phrase-based statistical MT (PB-SMT) has been the mainstream approach to MT for the past 30 years, both in academia and industry.
Gupta, Kamal Kumar   +4 more
openaire   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]

open access: yesPeerJ Computer Science
Machine 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

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

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Perspektywy rozwoju tłumaczenia maszynowego (na przykładzie angielsko-rosyjskich relacji przekładowych)

open access: yesStudia Rossica Posnaniensia, 2019
Machine translation (MT) is a relatively new field of science. MT systems are evolving in certain directions. The article discusses the possibilities and the future of systems currently offered to public by the biggest technological companies focusing on
Jakub Olas
doaj   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

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

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