symspellpy 6.3.9

Python SymSpell

symspellpy

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.

Usage

Installing the symspellpy module

pip install -U symspellpy

Copying the frequency dictionary to your project

Copy frequency_dictionary_en_82_765.txt (found in the inner symspellpy directory) to your project directory so you end up with the following layout:

project_dir
  +-frequency_dictionary_en_82_765.txt
  \-project.py

Adding new terms

• Use load_dictionary(corpus=<path/to/dictionary.txt>, <term_index>,<count_index>). dictionary.txt should contain:

<term> <count>
<term> <count>
...
<term> <count>

with term_index indicating the column number of terms and count_index indicating the column number of counts/frequency.

• Append <term> <count> to the provided frequency_dictionary_en_82_765.txt
• Use the method create_dictionary_entry(key=<term>, count=<count>)

Sample usage (create_dictionary)

import os

from symspellpy.symspellpy import SymSpell  # import the module

def main():
    # maximum edit distance per dictionary precalculation
    max_edit_distance_dictionary = 2
    prefix_length = 7
    # create object
    sym_spell = SymSpell(max_edit_distance_dictionary, prefix_length)

    # create dictionary using corpus.txt
    if not sym_spell.create_dictionary(<path/to/corpus.txt>):
        print("Corpus file not found")
        return

    for key, count in sym_spell.words.items():
        print("{} {}".format(key, count))

if __name__ == "__main__":
    main()

corpus.txt should contain:

abc abc-def abc_def abc'def abc qwe qwe1 1qwe q1we 1234 1234

Expected output:

abc 4
def 2
abc'def 1
qwe 1
qwe1 1
1qwe 1
q1we 1
1234 2

Sample usage (lookup and lookup_compound)

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():
    # maximum edit distance per dictionary precalculation
    max_edit_distance_dictionary = 2
    prefix_length = 7
    # create object
    sym_spell = SymSpell(max_edit_distance_dictionary, prefix_length)
    # load dictionary
    dictionary_path = os.path.join(os.path.dirname(__file__),
                                   "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.distance,
                                  suggestion.count))

    # 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.distance,
                                  suggestion.count))

if __name__ == "__main__":
    main()

Expected output:

members, 1, 226656153

where is the love he had dated for much of the past who couldn't read in six grade and inspired him, 9, 300000

Sample usage (word_segmentation)

Using project.py (code is more verbose than required to allow explanation of method arguments)

import os

from symspellpy.symspellpy import SymSpell  # import the module

def main():
    # maximum edit distance per dictionary precalculation
    max_edit_distance_dictionary = 0
    prefix_length = 7
    # create object
    sym_spell = SymSpell(max_edit_distance_dictionary, prefix_length)
    # load dictionary
    dictionary_path = os.path.join(os.path.dirname(__file__),
                                   "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

    # a sentence without any spaces
    input_term = "thequickbrownfoxjumpsoverthelazydog"

    result = sym_spell.word_segmentation(input_term)
    # display suggestion term, term frequency, and edit distance
    print("{}, {}, {}".format(result.corrected_string, result.distance_sum,
                              result.log_prob_sum))

if __name__ == "__main__":
    main()

Expected output:

the quick brown fox jumps over the lazy dog 8 -34.491167981910635

Transferring casing

To transfer the casing (eg uppercase/lowercase) from the original phrase to the typo-corrected one, use the transfer_casing boolean flag of the lookup() and the lookup_compound() methods:

lookup_compound():

suggestions = sym_spell.lookup_compound(input_term,
                                        max_edit_distance_lookup,
                                        transfer_casing=True)

lookup():

suggestions = sym_spell.lookup(input_term,
                               suggestion_verbosity,
                               max_edit_distance_lookup,
                               transfer_casing=True)

CHANGELOG

6.3.9 (2019-08-06)

---

• Added transfer_casing to lookup and lookup_compound
• Fixed prefix length check in _edits_prefix

6.3.8 (2019-03-21)

---

• Implemented delete_dictionary_entry
• Improved performance by using python builtin hashing
• Added versioning of the pickle

6.3.7 (2019-02-18)

---

• Fixed include_unknown in lookup
• Removed unused initial_capacity argument
• Improved _get_str_hash performance
• Implemented save_pickle and load_pickle to avoid having to create the dictionary every time

6.3.6 (2019-02-11)

---

• Added create_dictionary() feature

6.3.5 (2019-01-14)

---

• Fixed lookup_compound() to return the correct distance

6.3.4 (2019-01-04)

---

• Added <self._replaced_words = dict()> to track number of misspelled words
• Added ignore_token to word_segmentation() to ignore words with regular expression

6.3.3 (2018-12-05)

---

• Added word_segmentation() feature

6.3.2 (2018-10-23)

---

• Added encoding option to load_dictionary()

6.3.1 (2018-08-30)

---

• Create a package for symspellpy

6.3.0 (2018-08-13)

---

• Ported SymSpell v6.3