Results 71 to 80 of about 164,995 (278)
A Nested Attention Neural Hybrid Model for Grammatical Error Correction
, 2017 Grammatical error correction (GEC) systems strive to correct both global errors in word order and usage, and local errors in spelling and inflection. Further developing upon recent work on neural machine translation, we propose a new hybrid neural model ...
Gao, Jianfeng +5 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Schematic illustration of the SH bandage placed on an infected burn wound and its role in wound healing. A superhydrophobic PDMS membrane coated with the PS verteporfin is placed over the wound area and illuminated with a red laser at 690 nm, generating airborne 1O2 above the tissue.
Fernanda Viana Cabral +8 more
wiley +1 more source
Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells
Advanced Materials, EarlyView.This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno +16 more
wiley +1 more source
Evaluation of really good grammatical error correction
, 2023 Although rarely stated, in practice, Grammatical Error Correction (GEC) encompasses various models with distinct objectives, ranging from grammatical error detection to improving fluency. Traditional evaluation methods fail to fully capture the full range of system capabilities and objectives.
Östling, Robert +4 more
openaire +3 more sources
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
Advanced Materials, EarlyView.High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
Knowledge-based intelligent error feedback in a Spanish ICALL system [PDF]
, 2003 This paper describes the Spanish ICALL system ESPADA which helps language learners to improve their syntactical knowledge. The most important parts of ESPADA for the learner are a Demonstration Module and an Analysis Module.
Koller, Thomas
core
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
An Analysis of Grammatical Errors in Students’ Proposals
Indonesian EFL Journal: Journal of ELT, Linguistics, and Literature, 2018 This research aims to elaborate the kinds of grammatical errors and to disclose the factors that made the students do those kinds of grammatical errors. The data were collected from proposals written by the seventh semester students of English Department,
Pratiwi Bahar
doaj
Науковий Вісник Південноукраїнського Національного Педагогічного Університету імені К. Д. УшинськогоThe article is devoted to the actual problem of producing grammatically normalized speech among students of a medical institution of higher education.
Melnyk Tetiana
doaj +1 more source
Robust Processing of Natural Language
, 1995 Previous approaches to robustness in natural language processing usually treat deviant input by relaxing grammatical constraints whenever a successful analysis cannot be provided by ``normal'' means. This schema implies, that error detection always comes
Menzel, Wolfgang
core +4 more sources