Results 101 to 110 of about 329,381 (313)
Real-Time Statistical Speech Translation
This research investigates the Statistical Machine Translation approaches to translate speech in real time automatically. Such systems can be used in a pipeline with speech recognition and synthesis software in order to produce a real-time voice ...
A. Radziszewski, D. Cer, F. Holz
core +1 more source
A Survey of Statistical Machine Translation [PDF]
Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate. SMT has made tremendous strides in less than two decades, and many popular techniques have only emerged within the last few years ...
openaire +1 more source
Reliable Tissue Grasping in Robotic Minimally Invasive Surgery Enabled by Optical‐Based Slip Sensing
An optical‐based slip sensing method using a complementary metal–oxide–semiconductor image sensor with a built‐in infrared light emitting diode enables real‐time detection of tissue slippage—including displacement, direction, and speed—in robotic minimally invasive surgery.
Minjae Lee, Amy Kyungwon Han
wiley +1 more source
A multifunctional hydroxyapatite (HAp) coating integrated with silver‐gallium liquid metal nanoparticles (HAp‐Ag‐GaNPs) exhibits dual antibacterial and osteogenic properties. It effectively inhibits Gram‐positive and Gram‐negative bacteria, including resistant strains, while enhancing bone regeneration.
Ngoc Huu Nguyen+17 more
wiley +1 more source
Machine translation technologies used in online translation industry [PDF]
The article gives an overview of such machine translation technologies as Rule-based Machine Translation, Statistical Machine Translation, Hybrid Machine Translation as well as of Translation Memory.
Gimazitdinov, E. I., Morel Morel, D. A.
core
This review highlights recent advances in engineering artificial antigen‐presenting cells (aAPCs) as alternatives to dendritic cells for T cell expansion. Key design principles inspired by the immunological synapse are discussed, with emphasis on strategies for polyclonal and antigen‐specific T cell expansion.
Nguyen Thi Nguyen, Yu Seok Youn
wiley +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Comparison of SYSTRAN and Google Translate for English→Portuguese
Two machine translation (MT) systems, a statistical MT (SMT) system and a hybrid system (rule-based and SMT) were tested in order to compare various MT performances. The source language was English (EN) and the target language Portuguese (PT).
Rodrigo Gomes de Oliveira+1 more
doaj +1 more source
Syntax-based reordering model for phrasal statistical machine translation
To deal with the long-distance reordering, a linguistically syntax-based reordering model was presented for phrasal statistical machine translation. In this model, the syntax structure was decomposed according to the phrase segmentation to avoid the ...
XUE Yong-zeng+3 more
doaj +2 more sources
Seeding statistical machine translation with translation memory output through tree-based structural alignment [PDF]
With the steadily increasing demand for high-quality translation, the localisation industry is constantly searching for technologies that would increase translator throughput, with the current focus on the use of high-quality Statistical Machine ...
van Genabith, Josef, Zhechev, Ventsislav
core