This annotator retrieves tokens and makes corrections automatically if not found in an English dictionary.
This annotator retrieves tokens and makes corrections automatically if not found in an English dictionary.
This annotator retrieves tokens and makes corrections automatically if not found in an English dictionary. Inspired by Norvig model
See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingTestSpec.scala for further reference on how to use this API
These are the configs for the NorvigSweeting model
These are the configs for the NorvigSweeting model
See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingTestSpec.scala for further reference on how to use this API
This annotator retrieves tokens and makes corrections automatically if not found in an English dictionary. Inspired by Norvig model
Inspired on https://github.com/wolfgarbe/SymSpell
The Symmetric Delete spelling correction algorithm reduces the complexity of edit candidate generation and dictionary lookup for a given Damerau-Levenshtein distance. It is six orders of magnitude faster (than the standard approach with deletes + transposes + replaces + inserts) and language independent.
See https://github.com/JohnSnowLabs/spark-nlp/blob/master/src/test/scala/com/johnsnowlabs/nlp/annotators/spell/norvig/NorvigSweetingTestSpec.scala for further reference on how to use this API