Results 71 to 80 of about 58,487 (271)

Deep Learning-Based Context-Sensitive Spelling Typing Error Correction

IEEE Access, 2020
This study aims to solve the context-sensitive spelling error problem for English documents. There are two types of spelling errors in English: non-word spelling errors and context-sensitive spelling errors. Non-word spelling errors are simple to correct
Jung-Hun Lee, Minho Kim, Hyuk-Chul Kwon
doaj   +1 more source

A multi-task learning framework for efficient grammatical error correction of textual messages in mobile communications

EURASIP Journal on Wireless Communications and Networking, 2022
In mobile communications, plenty of textual messages need to be transmitted and processed rapidly. However, messages usually contain noise, which will affect the performance of related applications. Thus, we investigate grammatical error correction (GEC)
Fayu Pan, Bin Cao, Jing Fan
doaj   +1 more source

Error Analysis on Learners' Interlanguage and Intralanguage: a Case Study of Two Adolescent Students [PDF]

, 2019
This research focuses on exploring learners' language, especially the errors that are performed by the English learners. The subjects of this study are two adolescent students who have been learning English since early age. The data analyzed is collected
Puspita, D. (Dian)
core  

Exploring Automated Essay Scoring for Nonnative English Speakers

, 2017
Automated Essay Scoring (AES) has been quite popular and is being widely used. However, lack of appropriate methodology for rating nonnative English speakers' essays has meant a lopsided advancement in this field. In this paper, we report initial results
Nigam, Amber
core   +1 more source

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, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

GenERRate: generating errors for use in grammatical error detection [PDF]

, 2009
This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or ungrammatical.
Andersen, Øistein E., Foster, Jennifer
core   +2 more sources

Grammatical Error Correction Considering Multi-word Expressions [PDF]

Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications, 2015
Multi-word expressions (MWEs) have been recognized as important linguistic information and much research has been conducted especially on their extraction and interpretation. On the other hand, they have hardly been used in real application areas. While those who are learning English as a second language (ESL) use MWEs in their writings just like ...
Tomoya Mizumoto, Masato Mita, Yuji Matsumoto   +2 more
openaire   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

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, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Decoding Triphenotypic Neutrophils in Cervical Cancer Evolution and Targeting SPP1+/GBP1+/ELOVL5+ Tumor‐Associated Neutrophils to Sensitize Immunotherapy

Advanced Science, EarlyView.
The functional schematic diagram of tumor associated neutrophils. Abstract Enhancing cervical cancer (CC) immunotherapy requires deciphering the heterogeneous tumor immune microenvironment (TIME), particularly neutrophil phenotypic dynamics. Here, 1) we collected 543 CC cases to find that patients with elevated neutrophil levels have a higher incidence
Xingyu Chang, Xinyu Qu, Tingting Ren, Tong Wu, Weiyong Gu, Jingxin Ding, Keqin Hua, Junjun Qiu   +7 more
wiley   +1 more source

Context-sensitive Spelling Correction Using Google Web 1T 5-Gram Information

, 2012
In computing, spell checking is the process of detecting and sometimes providing spelling suggestions for incorrectly spelled words in a text. Basically, a spell checker is a computer program that uses a dictionary of words to perform spell checking. The
Alwani, Mohammad, Bassil, Youssef
core   +2 more sources