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Similarity-Based Unsupervised Spelling Correction Using BioWordVec: Development and Usability Study of Bacterial Culture and Antimicrobial Susceptibility Reports [PDF]
JMIR Medical Informatics, 2021 BackgroundExisting bacterial culture test results for infectious diseases are written in unrefined text, resulting in many problems, including typographical errors and stop words.
Kim, Taehyeong +6 more
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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
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Robust Spelling Correction [PDF]
Lecture Notes in Computer Science, 2006 The paper introduces a robust spelling correction technique to deal with ill-formed input strings, including unknown parts of unknown length. In contrast to previous works, we derive profit from a finer dynamic programming construction, which takes advantage of the underlying grammatical structure, leading to an improved computational behavior and ...
Jesus Vilares, Manuel Vilares
exaly +2 more sources
Improving the quality of Persian clinical text with a novel spelling correction system [PDF]
BMC Medical Informatics and Decision MakingBackground The accuracy of spelling in Electronic Health Records (EHRs) is a critical factor for efficient clinical care, research, and ensuring patient safety.
Seyed Mohammad Sadegh Dashti +1 more
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Applied Sciences, 2020 The increasing portability of physical manuscripts to the digital environment makes it common for systems to offer automatic mechanisms for offline Handwritten Text Recognition (HTR).
Arthur Flor de Sousa Neto +2 more
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Spelling Correction of Non-Word Errors in Uyghur–Chinese Machine Translation
Information, 2019 This research was conducted to solve the out-of-vocabulary problem caused by Uyghur spelling errors in Uyghur−Chinese machine translation, so as to improve the quality of Uyghur−Chinese machine translation.
Rui Dong, Yating Yang, Tonghai Jiang
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Think Twice: A Post-Processing Approach for the Chinese Spelling Error Correction
Applied Sciences, 2021 Chinese Spelling Error Correction is a hot subject in the field of natural language processing. Researchers have already produced many great solutions, from the initial rule-based solution to the current deep learning method.
Wei Gou, Zheng Chen
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Unsupervised Spelling Correction for Slovak
Advances in Electrical and Electronic Engineering, 2013 This paper introduces a method to automatically propose and choose a correction for an incorrectly written word in a large text corpus written in Slovak.
Daniel Hladek, Jan Stas, Jozef Juhar
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Spelling correction in agglutinative languages [PDF]
Proceedings of the fourth conference on Applied natural language processing -, 1994 uuencoded postscript file, poster version to appear in ANLP proceedings. (Abstract now fixed)
Kemal Oflazer, Cemaleddin Güzey
openaire +4 more sources
A Robust Method to Protect Text Classification Models against Adversarial Attacks
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Text classification is one of the main tasks in natural language processing. Recently, adversarial attacks have shown a substantial negative impact on neural network-based text classification models. There are few defenses to strengthen model predictions
BALA MALLIKARJUNARAO GARLAPATI +2 more
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