Results 111 to 120 of about 287,262 (275)
Parallel texts dataset for Uzbek-Kazakh machine translation
This paper presents a parallel corpus of raw texts between the Uzbek and Kazakh languages as a dataset for machine translation applications, focusing on the data collection process, dataset description, and its potential for reuse.
Bobur Allaberdiev +3 more
doaj +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
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
Using Synchronous TAG for Source-Side Reordering in SMT
Recent efforts in machine translation try to enrich statistical methods by syntactic information of source and target languages. In this paper we present a hybrid machine translator, which combines rule-based and statistical models in a serial manner ...
Amin Mansouri +3 more
doaj
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
A mechanically tunable hydrogel composed of gelatin, chondroitin sulfate and laminin promotes angiogenesis in vitro without the supplement of growth factors. Endothelial cells morphogenesis was further enhanced by medium conditioned with bioactive glass 58S‐released ions (Ca and Si), thus offering a promising strategy to vascularize 3D tissue ...
Marco Piazzoni +13 more
wiley +1 more source
As the prevalence of machine-written texts grows, it has become increasingly important to distinguish between human- and machine-generated content, especially when such texts are not explicitly labeled.
Simon Strübbe +2 more
doaj +1 more source
Binary Semantic Pattern Rules for Chinese-English Machine Translation Based on Machine Learning Algorithms [PDF]
Juan Diego Zamudio Padilla, Liuqin Wang
openalex +1 more source
Stretchable p/n‐pair Ag@Ag2Se TE fibers are developed for next‐generation fiber‐based electronics. The TE fibers maintain excellent electrical conductivity and a high Seebeck coefficient under strain. Integrated into textiles, they enable simultaneous temperature and strain sensing, as well as energy harvesting, offering great potential for ...
Chaebeen Kwon +6 more
wiley +1 more source
Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review
Machine translation (MT) for low-resource languages continues to face significant challenges because of limited digital resources and parallel corpora, despite remarkable developments in neural machine translation (NMT).
Taofik O. Tafa +8 more
doaj +1 more source

