Hello Otis,
The example I provided was a simplified one. The real usecase is that
will have to dynamically adapt to field values, from which
we have no idea what form they will have.. So unfortunately, a custom
tokenizer will not work. I changed the n-gram values to min=max= 2
and I can match s
Brian,
This is not really a job for n-grams. It sounds like you'll want to write a
custom Tokenizer that has knowledge about this particular pattern, knows how to
split input like the one in your example, and produce multiple tokens out of
it. For the natural language part you can probably ge
