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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-01-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13104-019-4073-y |