symspellpy is a Python port of SymSpell v6.3, which provides much higher speed and lower memory consumption. Unit tests from the original project are implemented to ensure the accuracy of the port.
Please note that the port has not been optimized for speed.
Copy the inner symspellpy
directory to your project directory so you end up with the following layout:
project_dir
+-symspellpy
| +-__init__.py
| +-editdistance.py
| +-frequency_dictionary_en_82_765.txt
| +-helpers.py
| \-symspell.py
\-project.py
Using project.py
(code is more verbose than required to allow explanation of method arguments)
import os
from symspellpy.symspellpy import SymSpell, Verbosity # import the module
def main():
# create object
initial_capacity = 83000
# maximum edit distance per dictionary precalculation
max_edit_distance_dictionary = 2
prefix_length = 7
sym_spell = SymSpell(initial_capacity, max_edit_distance_dictionary,
prefix_length)
# load dictionary
dictionary_path = os.path.join(os.path.dirname(__file__), "symspellpy",
"frequency_dictionary_en_82_765.txt")
term_index = 0 # column of the term in the dictionary text file
count_index = 1 # column of the term frequency in the dictionary text file
if not sym_spell.load_dictionary(dictionary_path, term_index, count_index):
print("Dictionary file not found")
return
# lookup suggestions for single-word input strings
input_term = "memebers" # misspelling of "members"
# max edit distance per lookup
# (max_edit_distance_lookup <= max_edit_distance_dictionary)
max_edit_distance_lookup = 2
suggestion_verbosity = Verbosity.CLOSEST # TOP, CLOSEST, ALL
suggestions = sym_spell.lookup(input_term, suggestion_verbosity,
max_edit_distance_lookup)
# display suggestion term, term frequency, and edit distance
for suggestion in suggestions:
print("{}, {}, {}".format(suggestion.term, suggestion.count,
suggestion.distance))
# lookup suggestions for multi-word input strings (supports compound
# splitting & merging)
input_term = ("whereis th elove hehad dated forImuch of thepast who "
"couqdn'tread in sixtgrade and ins pired him")
# max edit distance per lookup (per single word, not per whole input string)
max_edit_distance_lookup = 2
suggestions = sym_spell.lookup_compound(input_term,
max_edit_distance_lookup)
# display suggestion term, edit distance, and term frequency
for suggestion in suggestions:
print("{}, {}, {}".format(suggestion.term, suggestion.count,
suggestion.distance))
if __name__ == "__main__":
main()
members, 226656153, 1
where is the love he had dated for much of the past who couldn't read in six grade and inspired him, 300000, 10