Results 51 to 60 of about 58,487 (271)

An Analysis of Source-Side Grammatical Errors in NMT

open access: yes, 2019
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

Type-Driven Multi-Turn Corrections for Grammatical Error Correction

open access: yesFindings of the Association for Computational Linguistics: ACL 2022, 2022
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

Grammatical Error Correction by Transferring Learning Based on Pre-Trained Language Model

open access: yesShanghai Jiaotong Daxue xuebao, 2022
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

Processing linguistic complexity and grammaticality in the left frontal cortex [PDF]

open access: yes, 2006
1
Bornkessel, I.   +4 more
core   +2 more sources

Intercompartmental communication in senescence

open access: yesFEBS Open Bio, EarlyView.
Senescent cells experience structural changes in the plasma membrane, endoplasmic reticulum, mitochondria, lysosomes, nucleus, and cytoskeleton. These alterations disrupt crosstalk among cellular compartments, impairing vesicular trafficking, contact sites, and molecular flow.
Krystyna Mazan‐Mamczarz   +3 more
wiley   +1 more source

Automated text simplification as a preprocessing step for machine translation into an under-resourced language [PDF]

open access: yes, 2019
In this work, we investigate the possibility of using fully automatic text simplification system on the English source in machine translation (MT) for improving its translation into an under-resourced language.
Popović, Maja, Štajner, Sanja
core   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

open access: yesAging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu   +8 more
wiley   +1 more source

Explicit vs. Implicit L2 grammar knowledge in written error correction [PDF]

open access: yes, 2011
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

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello   +5 more
wiley   +1 more source

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction [PDF]

open access: yesProceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017
Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated. To overcome this problem, we introduce ERRANT, a grammatical ERRor ANnotation Toolkit designed to automatically extract edits from parallel original and corrected sentences and classify them ...
Bryant, CJ, Felice, M, Briscoe, E
openaire   +2 more sources

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