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]
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]
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]
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]
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
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
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
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
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
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
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
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