nlu_engine.parse() it takes too much time

[harrak2020]

it does not matter if
interactively by running:
snips-nlu parse path/to/trained_engine
on the CMD
or by python script : nlu_engine.parse(text,intents=["intent1"])
time increases exponentially **
if you just add a slot in text**
for example:
text = "one two three four five six seven eight nine ten two three four five six"
15 slots ; takes 32.138450s.
text = "one two three four five six seven eight nine ten two three four five"
14 slots ; takes 14.838444s.
text = "one two three four five six seven eight nine ten two three four"
13 slots ; takes 7.012628s.
text = "one two three four five six seven eight nine ten two three"
12 slots ; takes 3.441175s.

"entity": "snips/number"

is there a solution to this problem