Results 71 to 80 of about 45,590 (288)

Unsupervised Neural Machine Translation

open access: yes, 2017
In spite of the recent success of neural machine translation (NMT) in standard benchmarks, the lack of large parallel corpora poses a major practical problem for many language pairs. There have been several proposals to alleviate this issue with, for instance, triangulation and semi-supervised learning techniques, but they still require a strong cross ...
Artetxe Zurutuza, Mikel   +3 more
openaire   +3 more sources

Viscoelasticity‐Induced Controllable Periodic Meso‐Textures of Liquid Crystal Polymers in Additive Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou   +17 more
wiley   +1 more source

Deep architectures for Neural Machine Translation [PDF]

open access: yesProceedings of the Second Conference on Machine Translation, 2017
WMT 2017 research ...
Miceli Barone, Antonio Valerio   +4 more
openaire   +4 more sources

Electron–Matter Interactions During Electron Beam Nanopatterning

open access: yesAdvanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima   +2 more
wiley   +1 more source

Contact Lens with Moiré Patterns for High‐Precision Eye Tracking

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin   +11 more
wiley   +1 more source

Machine Translation Indonesian Bengkulu Malay Using Neural Machine Translation-LSTM

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems)
The machine translator is an application in Natural Language Processing (NLP) that focuses on translating between languages. Several previous research have used Statistical Machine Translation (SMT) with a parallel corpus of Indonesian and Bengkulu Malay
Bella Okta Sari Miranda   +2 more
doaj   +1 more source

An intelligent algorithm for fast machine translation of long English sentences

open access: yesJournal of Intelligent Systems, 2023
Translation of long sentences in English is a complex problem in machine translation. This work briefly introduced the basic framework of intelligent machine translation algorithm and improved the long short-term memory (LSTM)-based intelligent machine ...
He Hengheng
doaj   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

open access: yesAdvanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Automatic sign language translation: a review of neural network methods for recognition and synthesis of spoken and signed language

open access: yesНаучно-технический вестник информационных технологий, механики и оптики
A review of modern methods and technologies for automatic machine translation for the deaf and hard of hearing is presented, including recognition and synthesis of both spoken and sign languages.
D. V. Ivanko, D. A. Ryumin
doaj   +1 more source

Machine translation evaluation with neural networks [PDF]

open access: yesComputer Speech & Language, 2017
We present a framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses, given the reference translation. In this framework, lexical, syntactic and semantic information from the reference and the two hypotheses is embedded into compact ...
Guzmán, Francisco   +3 more
openaire   +2 more sources

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