Results 1 to 10 of about 411,676 (266)

Reconfiguration Error Correction Model for an FBG Shape Sensor Based on the Sparrow Search Algorithm [PDF]

open access: yesSensors, 2023
A reconfiguration error correction model for an FBG shape sensor (FSS) is proposed. The model includes curvature, bending direction error correction, and the self-correction of the FBG placement angle and calibration error based on an improved sparrow ...
Qiufeng Shang, Feng Liu
doaj   +2 more sources

An Error-Guided Correction Model for Chinese Spelling Error Correction

open access: yesFindings of the Association for Computational Linguistics: EMNLP 2022, 2022
Although existing neural network approaches have achieved great success on Chinese spelling correction, there is still room to improve.The model is required to avoid overcorrection and to distinguish a correct token from its phonological and visually similar ones.In this paper, we propose an error-guided correction model (EGCM) to improve Chinese ...
Rui Sun, Xiuyu Wu, Yunfang Wu
openaire   +2 more sources

Nonlinear error correction models [PDF]

open access: yesJournal of Time Series Analysis, 2002
The relationship between cointegration and error correction (EC) models is well characterized in a linear context, but the extension to the nonlinear context is still a challenge. Few extensions of the linear framework have been done in the context of nonlinear error correction (NEC) or asymmetric and time varying error correction models. In this paper,
Alvaro Escribano, Santiago Mira
openaire   +5 more sources

English Grammar Error Correction Algorithm Based on Classification Model

open access: yesComplexity, 2021
English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners.
Shanchun Zhou, Wei Liu
doaj   +1 more source

Correction of Model Reduction Errors in Simulations [PDF]

open access: yesSIAM Journal on Scientific Computing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Antti Lipponen   +4 more
openaire   +1 more source

Think Twice: A Post-Processing Approach for the Chinese Spelling Error Correction

open access: yesApplied Sciences, 2021
Chinese Spelling Error Correction is a hot subject in the field of natural language processing. Researchers have already produced many great solutions, from the initial rule-based solution to the current deep learning method.
Wei Gou, Zheng Chen
doaj   +1 more source

Testing for asymmetric cointegration of Italian agricultural commodities prices: Evidence from the futures-spot market relationship

open access: yesAgricultural Economics (AGRICECON), 2022
The volatility of food prices still raises concerns among agricultural market players, increasing interest in the futures markets, thus calling for a better understanding of the connection between the futures and the Italian spot prices.
Carlotta Penone, Samuele Trestini
doaj   +1 more source

Neural Quality Estimation Based on Multiple Hypotheses Interaction and Self-Attention for Grammatical Error Correction

open access: yesIEEE Access, 2023
The English grammatical error correction system is suitable for the English learning environment, with the goal of accurately correcting errors in learners’ writing.
Chen Zhang, Tongjie Xu, Guangli Wu
doaj   +1 more source

An Automatic Error Detection Method for Machine Translation Results via Deep Learning

open access: yesIEEE Access, 2023
Nowadays, the rapid development of natural language processing has brought great progress for the area of machine translation. Various deep neural network-based machine translation approaches have been more and more general.
Weihong Zhang
doaj   +1 more source

Factor‐augmented Error Correction Models* [PDF]

open access: yes, 2009
This paper brings together several important strands of the econometrics literature: errorcorrection, cointegration and dynamic factor models. It introduces the Factor-augmented Error Correction Model (FECM), where the factors estimated from a large set of variables in levels are jointly modelled with a few key economic variables of interest.
MARCELLINO, MASSIMILIANO, A. Banerjee
openaire   +6 more sources

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