Results 11 to 20 of about 50,010 (270)
Spell checker for consumer language (CSpell) [PDF]
Journal of the American Medical Informatics Association, 2019 AbstractObjectiveAutomated understanding of consumer health inquiries might be hindered by misspellings. To detect and correct various types of spelling errors in consumer health questions, we developed a distributable spell-checking tool, CSpell, that handles nonword errors, real-word errors, word boundary infractions, punctuation errors, and ...
Chris J. Lu +3 more
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Grammar-aware phrase dataset generated using a novel python package [PDF]
Data in Brief, 2023 The past technique of manual dataset preparation was time-consuming and needed much effort. Another attempt to the data acquisition method was using web scraping. Such web scraping tools also produce a bunch of data errors. For this reason, we developed “
Ebisa A. Gemechu +1 more
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A UMLS-based spell checker for natural language processing in vaccine safety [PDF]
BMC Medical Informatics and Decision Making, 2007 Background The Institute of Medicine has identified patient safety as a key goal for health care in the United States. Detecting vaccine adverse events is an important public health activity that contributes to patient safety.
Liu Fang +8 more
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A comparison of two user-friendly methods to identify and support correction of misspelled medications [PDF]
Preventive Medicine ReportsObjective: To identify and support correction of misspelled medication names recorded as free text, we compared the relative effectiveness of two user-friendly methods, used without reliance on clinical knowledge.
Christopher R. Dasaro +6 more
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Applications of Natural Language Processing in Information Science and Knowledge with Emphasis on Digital Libraries [PDF]
بازیابی دانش و نظامهای معنایی, 2022 Natural language processing as a branch of computational linguistics whose main effort is to use computers in the process of automating the understanding and processing of human natural language and focusing on human-computer interaction has found ab ...
Mahboubeh Rabiei, Vahidreza Mirzaeian
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Amazigh spell checker using Damerau-Levenshtein algorithm and N-gram
Journal of King Saud University: Computer and Information Sciences, 2022 Natural language processing (NLP) is a rapidly growing research field in computer science and cognitive science. Automatic correction of lexical errors is one of the applications of NLP, which aims to detect errors in the text and suggest possible ...
Youness Chaabi, Fadoua Ataa Allah
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IJET (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
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Natural language processing tools for computer assisted language learning
Linguistik Online, 2003 This paper illustrates the usefulness of natural language processing (NLP) tools for computer assisted language learning (CALL) through the presentation of three NLP tools integrated within a CALL software for French.
Anne Vandeventer Faltin
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A Novel Binary Spell Checker [PDF]
, 2001 In this paper we propose a simple, flexible and efficient hybrid spell checking methodology based upon phonetic matching, supervised learning and associative matching in the AURA neural system. We evaluate our approach against several benchmark spell-checking algorithms for recall accuracy.
Hodge, V.J., Austin, J.
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Real Word Spelling Error Detection and Correction for Urdu Language
IEEE Access, 2023 Non-word and real-word errors are generally two types of spelling errors. Non-word errors are misspelled words that are nonexistent in the lexicon while real-word errors are misspelled words that exist in the lexicon but are used out of context in a ...
Romila Aziz +7 more
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