Results 61 to 70 of about 45,590 (288)

Improving Transformer-Based Neural Machine Translation with Prior Alignments

open access: yesComplexity, 2021
Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically ...
Thien Nguyen   +3 more
doaj   +1 more source

A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics

open access: yesPakistan Journal of Engineering Technology & Science, 2023
Machine translation is the process of translating a natural language into another. The primary goal of machine translation is to bridge the linguistic gap between languages.
Naseer Ahmed
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 more
wiley   +1 more source

Neural machine translation system for the Kazakh language based on synthetic corpora

open access: yesMATEC Web of Conferences, 2019
The lack of big parallel data is present for the Kazakh language. This problem seriously impairs the quality of machine translation from and into Kazakh.
Tukeyev Ualsher   +2 more
doaj   +1 more source

Hybrid-Regressive Neural Machine Translation [PDF]

open access: green, 2022
Qiang Wang, Heng Yu, Shaohui Kuang
openalex   +1 more source

Custom neural machine translation

open access: yes, 2022
This chapter gives an overview of the theoretical and practical implications of customizing machine translation (MT) to make it fit for a particular purpose. The chapter is written for readers who have just a basic knowledge of MT, but experts who are seeking new ways of explaining MT to non-experts may also find it useful.
openaire   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Synchronous Bidirectional Neural Machine Translation

open access: yesTransactions of the Association for Computational Linguistics, 2019
Existing approaches to neural machine translation (NMT) generate the target language sequence token-by-token from left to right. However, this kind of unidirectional decoding framework cannot make full use of the target-side future contexts which can be ...
Zhou, Long   +2 more
doaj   +1 more source

TransFool: An Adversarial Attack against Neural Machine Translation Models [PDF]

open access: green, 2023
Sahar Sadrizadeh   +2 more
openalex   +1 more source

Home - About - Disclaimer - Privacy