Type-Driven Multi-Turn Corrections for Grammatical Error Correction
Grammatical Error Correction (GEC) aims to automatically detect and correct grammatical errors. In this aspect, dominant models are trained by one-iteration learning while performing multiple iterations of corrections during inference. Previous studies mainly focus on the data augmentation approach to combat the exposure bias, which suffers from two ...
Lai, Shaopeng +6 more
openaire +2 more sources
An Analysis of Source-Side Grammatical Errors in NMT
The quality of Neural Machine Translation (NMT) has been shown to significantly degrade when confronted with source-side noise. We present the first large-scale study of state-of-the-art English-to-German NMT on real grammatical noise, by evaluating on ...
Anastasopoulos, Antonios
core +1 more source
Production of tense marking in successive bilingual children: when do they converge with their monolingual peers? [PDF]
Children with English as a second language (L2) with exposure of 18 months or less exhibit similar difficulties to children with Specific Language Impairment in tense marking, a marker of language impairment for English.
Chondrogianni, Vasiliki +1 more
core +1 more source
Grammatical Error Correction by Transferring Learning Based on Pre-Trained Language Model
Grammatical error correction (GEC) is a low-resource task, which requires annotations with high costs and is time consuming in training. In this paper, the MASS-GEC is proposed to solve this problem by transferring learning from a pre-trained language ...
HAN Mingyue, WANG Yinglin
doaj +1 more source
High Healthcare Utilization Preceding Diagnosis with Juvenile Idiopathic Arthritis
Objective Though early diagnosis improves long‐term outcomes, Juvenile Idiopathic Arthritis (JIA) patients often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize healthcare utilization in the year preceding diagnosis.
Anna Costello +5 more
wiley +1 more source
Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment
Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li +12 more
wiley +1 more source
Processing linguistic complexity and grammaticality in the left frontal cortex [PDF]
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Bornkessel, I. +4 more
core +2 more sources
SI‐bioATRP in Mesoporous Silica for Size‐Exclusion Driven Local Polymer Placement
An enzyme‐catalyzed surface‐initiated atom transfer radical polymerization (SI‐bioATRP) of an anionic monomer within mesoporous silica particles, using hemoglobin as a catalyst, allows for controlling the location of the formed polymer via size‐exclusion effects between the nanopores and the biomacromolecules, thereby opening routes to functional ...
Oleksandr Wondra +8 more
wiley +1 more source
Explicit vs. Implicit L2 grammar knowledge in written error correction [PDF]
Error correction is undoubtedly an important part of the process of drafting and producing written texts. The aim of the paper is to analyse the learners’ ability to correct grammatical errors in relation to the type of knowledge they employ in this task.
Cinciała, Marcin, Scheffler, Pawel
core +1 more source
Grammar Correction for Multiple Errors in Chinese Based on Prompt Templates
Grammar error correction (GEC) is a crucial task in the field of Natural Language Processing (NLP). Its objective is to automatically detect and rectify grammatical mistakes in sentences, which possesses immense application research value.
Zhici Wang +4 more
doaj +1 more source

