Results 1 to 10 of about 78,726 (168)

One page of text: Eye movements during regular and thorough reading, skimming, and spell checking. [PDF]

open access: yesJ Eye Mov Res, 2018
Eye movements during regular reading, thorough reading, skimming, and spell checking of single pages of text were measured, to investigate how high-level reading tasks elicited by instructions affect reading behavior.
Strukelj A, Niehorster DC.
europepmc   +2 more sources

Hybrid artificial intelligence architectures for automatic text correction in the Kazakh language. [PDF]

open access: yesFront Artif Intell
The Kazakh language, as an agglutinative and morphologically rich language, presents significant challenges for the development of natural language processing (NLP) tools.
Baitenova L   +4 more
europepmc   +2 more sources

Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish. [PDF]

open access: yesPLoS One
IntroductionAccurate identification of graft loss in Electronic Medical Records of kidney transplant recipients is essential but challenging due to inconsistent and not mandatory International Classification of Diseases (ICD) codes.
Garcia-Lopez A   +3 more
europepmc   +2 more sources

Analysis on types of spelling errors in true Tibetan characters [PDF]

open access: yesMATEC Web of Conferences, 2021
Spelling error checking is a challenging research topic with a wide range of applications such as text editing, word processing, spell checking, teaching, etc.
San Maocuo   +3 more
doaj   +1 more source

Identification and Correction of Grammatical Errors in Ukrainian Texts Based on Machine Learning Technology

open access: yesMathematics, 2023
A machine learning model for correcting errors in Ukrainian texts has been developed. It was established that the neural network has the ability to correct simple sentences written in Ukrainian; however, the development of a full-fledged system requires ...
Vasyl Lytvyn   +4 more
doaj   +1 more source

You can’t suggest that?!

open access: yesNordlyd: Tromsø University Working Papers on Language & Linguistics, 2022
In this article, we study correction of spelling errors, specifically on how the spelling errors are made and how can we model them computationally in order to fix them.
Heiki-Jaan Kaalep   +2 more
doaj   +1 more source

Kurdish News Dataset Headlines (KNDH) through multiclass classification

open access: yesData in Brief, 2023
The rapid growth of technology has massively increased the amount of text data. The data can be mined and utilized for numerous natural language processing (NLP) tasks, particularly text classification.
Soran Badawi   +4 more
doaj   +1 more source

A simple Galois Power-of-Two real time embedding scheme for performing Arabic morphology deep learning tasks

open access: yesEgyptian Informatics Journal, 2021
This paper describes how a simple novel Galois Power-of-Two (GPOW2) real-time embedding scheme is used to improve the performance and accuracy of downstream NLP tasks.
Mohammed A. ELAffendi   +2 more
doaj   +1 more source

A survey on sentiment analysis in Urdu: A resource-poor language

open access: yesEgyptian Informatics Journal, 2021
Background/introduction: The dawn of the internet opened the doors to the easy and widespread sharing of information on subject matters such as products, services, events and political opinions. While the volume of studies conducted on sentiment analysis
Asad Khattak   +5 more
doaj   +1 more source

The Development of Spell Checker Android Application to Improve Students’ Pronunciation of English Education Department, IAIN Jember

open access: yesIJET (Indonesian Journal of English Teaching), 2020
Pronunciation and vocabulary are important elements of language so a communication will be difficult if the speaker cannot pronounce the elements or words accurately.
Sari Dewi Noviyanti
doaj   +1 more source

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