Contextual Spellchecker Clinical

Description

Implements Noisy Channel Model Spell Algorithm. Correction candidates are extracted combining context information and word information

Open in ColabDownload

How to use

model = ContextSpellCheckerModel.pretrained("spellcheck_clinical","en","clinical/models")
	.setInputCols("token")
	.setOutputCol("spell")
val model = ContextSpellCheckerModel.pretrained("spellcheck_clinical","en","clinical/models")
	.setInputCols("token")
	.setOutputCol("spell")

Model Information

Name: spellcheck_clinical
Type: ContextSpellCheckerModel
Compatibility: 2.4.2
License: Licensed
Edition: Official
Input labels: [token]
Output labels: [spell]
Language: en
Dependencies: embeddings_clinical

Data Source

Trained with PubMed and i2b2 datasets.