An efficient prototype method to identify and correct misspellings in clinical text

An efficient prototype method to identify and correct misspellings in clinical text

Abstract Objective Misspellings in clinical free text present challenges to natural language processing. With an objective to identify misspellings and their corrections, we developed a prototype spelling analysis method that implements Word2Vec, Levenshtein edit distance constraints, a lexical reso...

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Bibliographic Details
Main Authors: T. Elizabeth Workman, Yijun Shao, Guy Divita, Qing Zeng-Treitler
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Research Notes
Subjects:
Spelling analysis
Spelling correction
Clinical text
Word embeddings
Word2Vec
Online Access:http://link.springer.com/article/10.1186/s13104-019-4073-y

Internet

http://link.springer.com/article/10.1186/s13104-019-4073-y

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