Results 91 to 100 of about 2,197,203 (280)
The increasing demand for intelligent language learning systems, traditional grammar correction models often fail to capture the complex syntactic dependencies and contextual nuances present in learner-generated texts.
Yining Du
doaj +1 more source
ABSTRACT Diabetic stroke is characterized by a hyperglycemic and pro‐inflammatory microenvironment that exacerbates neurovascular dysfunction. However, the blood–brain barrier (BBB) remains a formidable obstacle, restricting the delivery of most therapeutic molecules.
Bixin Shen +7 more
wiley +1 more source
The current study focuses on the use of Grammatical Error Correction (GEC) technology for assessing language accuracy, which has received relatively less attention than complexity and fluency in the context of automated assessment.
Haerim Hwang
doaj +1 more source
Chinese Grammatical Error Correction Based on Convolutional Sequence to Sequence Model
Chinese grammatical error correction (CGEC) is practically useful for learners of Chinese as a second language, but it is a rather challenging task due to the complex and flexible nature of Chinese language so that existing methods for English cannot be ...
Si Li +7 more
doaj +1 more source
Non-linear error correction, asymmetric adjustment and cointegration. [PDF]
This article links the intertemporal choice model with the non-linear error correction (NEC) model. It has three main components. First, it outlines a model of non-linear error correction, in which the linear error correction term ?Xt (the vector time ...
Pfann, Gerard, Escribano, Álvaro
core
Guided by pharmacophore modeling and molecular docking, aryl hydrocarbon receptor (AHR)‐responsive carbon dots were synthesized. They bind directly to AHR and expand gut‐resident regulatory T (Treg) cells. Treg‐derived C‐C motif chemokine ligand 1 (CCL1) enhances macrophage efferocytosis, creating a pro‐regenetative niche that promotes colonic mucosal ...
Zilu Zhu +6 more
wiley +1 more source
MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking
Grammatical error correction (GEC) is a promising natural language processing (NLP) application, whose goal is to change the sentences with grammatical errors into the correct ones.
Wang, Houfeng, Zhao, Zewei
core +1 more source
Machine‐learning‐driven transcriptomic analysis identifies FSTL3 as a key tumor‐microenvironment regulator in desmoplastic pancreatic adenocarcinoma. A cRGD‐modified liposome co‐loading gemcitabine and siFSTL3 serves as an irradiation‐triggered in situ nanovaccine. It synergizes with radiotherapy to induce ferroptosis and immunogenic cell death through
Chengyi Huang +11 more
wiley +1 more source
I Can Explain This: Enhancing Grammatical Error Correction with Explanatory Feedback in Icelandic
We present an automated written corrective feedback system that connects a grammatical error correction model and the Icelandic Official Spelling Rules.
Atli Jasonarson +1 more
doaj +1 more source
AN ANALYSIS OF THE WRITTEN GRAMMATICAL ERRORS PRODUCED BY FRESHMENT STUDENTS IN ENGLISH WRITING
This study is aimed at providing explanation on the taxonomy of the grammatical errors made by the university students in written production of English.
Hamzah Hamzah
doaj +1 more source

