Sensitivity on spell checking.
Sensitivity on spell checking. Defaults to false. Might affect accuracy
Increase search at cost of performance.
Increase search at cost of performance. Enables extra check for word combinations, More accuracy at performance
Maximum duplicate of characters in a word to consider.
Maximum duplicate of characters in a word to consider. Defaults to 2 .Maximum duplicate of characters to account for. Defaults to 2.
Applies frequency over hamming in intersections.
Applies frequency over hamming in intersections. When false hamming takes priority
Sensitivity on spell checking.
Sensitivity on spell checking. Defaults to false. Might affect accuracy
Increase search at cost of performance.
Increase search at cost of performance. Enables extra check for word combinations
Maximum duplicate of characters in a word to consider.
Maximum duplicate of characters in a word to consider. Defaults to 2 .Maximum duplicate of characters to account for. Defaults to 2.
Applies frequency over hamming in intersections.
Applies frequency over hamming in intersections. When false hamming takes priority
Hamming intersections to attempt.
Hamming intersections to attempt. Defaults to 10
Word reduction limit.
Word reduction limit. Defaults to 3
Increase performance at cost of accuracy.
Increase performance at cost of accuracy. Faster but less accurate mode
Vowel swap attempts.
Vowel swap attempts. Defaults to 6
Minimum size of word before ignoring.
Minimum size of word before ignoring. Defaults to 3 ,Minimum size of word before moving on. Defaults to 3.
Hamming intersections to attempt.
Hamming intersections to attempt. Defaults to 10
Word reduction limit.
Word reduction limit. Defaults to 3
Sensitivity on spell checking.
Sensitivity on spell checking. Defaults to false. Might affect accuracy
Increase search at cost of performance.
Increase search at cost of performance. Enables extra check for word combinations
Maximum duplicate of characters in a word to consider.
Maximum duplicate of characters in a word to consider. Defaults to 2 .Maximum duplicate of characters to account for. Defaults to 2.
Applies frequency over hamming in intersections.
Applies frequency over hamming in intersections. When false hamming takes priority
Hamming intersections to attempt.
Hamming intersections to attempt. Defaults to 10
Word reduction limit.
Word reduction limit. Defaults to 3
Increase performance at cost of accuracy.
Increase performance at cost of accuracy. Faster but less accurate mode
Vowel swap attempts.
Vowel swap attempts. Defaults to 6
Minimum size of word before ignoring.
Minimum size of word before ignoring. Defaults to 3 ,Minimum size of word before moving on. Defaults to 3.
Increase performance at cost of accuracy.
Increase performance at cost of accuracy. Faster but less accurate mode
Vowel swap attempts.
Vowel swap attempts. Defaults to 6
Minimum size of word before ignoring.
Minimum size of word before ignoring. Defaults to 3 ,Minimum size of word before moving on. Defaults to 3.
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