Name | simple-spell-checker JSON |
Version |
0.0.1
JSON |
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Summary | |
upload_time | 2023-02-03 09:31:21 |
maintainer | |
docs_url | None |
author | Your Name |
requires_python | >=3.9,<4.0 |
license | |
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# simple_spell_checker
[![Coverage Status](https://img.shields.io/badge/%20Python%20Versions-%3E%3D3.9-informational)](https://pypi.org/project/fuzzy_multi_dict/)
[![Coverage Status](https://coveralls.io/repos/github/SemioTricks/fuzzy-multi-dict/badge.svg?branch=feature/initial)](https://coveralls.io/github/SemioTricks/fuzzy-multi-dict?branch=feature/initial)
[![Coverage Status](https://img.shields.io/badge/Version-0.0.1-informational)](https://github.com/SemioTricks/simple-spell-checker)
[![Coverage Status](https://img.shields.io/badge/Docs-passed-green)](https://github.com/SemioTricks/simple-spell-checker/tree/main/simple_spell_checker_doc)
Simple Spell Checker is a spell checker based on prefix tree search. It find nearest to input word from known words (from input list).
The algorithm finds mistakes in a word (insertions, deletions, replacements).
# Installation
> pip install simple_spell_checker
# Quickstart
```python
from simple_spell_checker.spell_checker import SpellChecker
cities = [
"Kyiv", "Kharkiv", "Odesa", "Dnipro", "Donetsk", "Zaporizhzhia", "Lviv",
"Kryvyi Rih", "Mykolaiv", "Luhansk", "Vinnytsia", "Simferopol", "Chernihiv",
"Kherson", "Poltava", "Khmelnytskyi", "Cherkasy", "Chernivtsi", "Zhytomyr", "Sumy",
"Rivne", "Ivano-Frankivsk", "Ternopil", "Kropyvnytskyi", "Lutsk", "Uzhhorod"
]
spell_checker = SpellChecker(max_mistakes_number_part=.5)
spell_checker.add_words(cities)
spell_checker.correction('Kiev')
# [{'word': 'Kyiv',
# 'corrections': [{'mistake_type': 'missing symbol "y"', 'position': 1},
# {'mistake_type': 'extra symbol "e"', 'position': 2}]}]
spell_checker.correction('odessa')
# [{'word': 'Odesa',
# 'corrections': [{'mistake_type': 'wrong symbol "o": replaced on "O"',
# 'position': 0},
# {'mistake_type': 'extra symbol "s"', 'position': 4}]}]
spell_checker.correction('Hmelnitskiy', max_mistakes_number_part=.5)
# [{'word': 'Khmelnytskyi',
# 'corrections': [{'mistake_type': 'missing symbol "K"', 'position': 0},
# {'mistake_type': 'wrong symbol "H": replaced on "h"', 'position': 0},
# {'mistake_type': 'wrong symbol "i": replaced on "y"', 'position': 5},
# {'mistake_type': 'missing symbol "y"', 'position': 9},
# {'mistake_type': 'extra symbol "y"', 'position': 10}]}]
spell_checker.correction('Kharkiv')
# [{'word': 'Kharkiv', 'corrections': []}]
```
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"description": "# simple_spell_checker\n\n[![Coverage Status](https://img.shields.io/badge/%20Python%20Versions-%3E%3D3.9-informational)](https://pypi.org/project/fuzzy_multi_dict/)\n[![Coverage Status](https://coveralls.io/repos/github/SemioTricks/fuzzy-multi-dict/badge.svg?branch=feature/initial)](https://coveralls.io/github/SemioTricks/fuzzy-multi-dict?branch=feature/initial)\n\n[![Coverage Status](https://img.shields.io/badge/Version-0.0.1-informational)](https://github.com/SemioTricks/simple-spell-checker)\n[![Coverage Status](https://img.shields.io/badge/Docs-passed-green)](https://github.com/SemioTricks/simple-spell-checker/tree/main/simple_spell_checker_doc)\n\n\nSimple Spell Checker is a spell checker based on prefix tree search. It find nearest to input word from known words (from input list). \nThe algorithm finds mistakes in a word (insertions, deletions, replacements).\n\n# Installation\n\n> pip install simple_spell_checker\n\n# Quickstart\n\n```python\nfrom simple_spell_checker.spell_checker import SpellChecker\n\ncities = [\n \"Kyiv\", \"Kharkiv\", \"Odesa\", \"Dnipro\", \"Donetsk\", \"Zaporizhzhia\", \"Lviv\", \n \"Kryvyi Rih\", \"Mykolaiv\", \"Luhansk\", \"Vinnytsia\", \"Simferopol\", \"Chernihiv\", \n \"Kherson\", \"Poltava\", \"Khmelnytskyi\", \"Cherkasy\", \"Chernivtsi\", \"Zhytomyr\", \"Sumy\",\n \"Rivne\", \"Ivano-Frankivsk\", \"Ternopil\", \"Kropyvnytskyi\", \"Lutsk\", \"Uzhhorod\"\n]\n\nspell_checker = SpellChecker(max_mistakes_number_part=.5)\nspell_checker.add_words(cities)\n\nspell_checker.correction('Kiev')\n# [{'word': 'Kyiv',\n# 'corrections': [{'mistake_type': 'missing symbol \"y\"', 'position': 1},\n# {'mistake_type': 'extra symbol \"e\"', 'position': 2}]}]\n\nspell_checker.correction('odessa')\n# [{'word': 'Odesa',\n# 'corrections': [{'mistake_type': 'wrong symbol \"o\": replaced on \"O\"',\n# 'position': 0},\n# {'mistake_type': 'extra symbol \"s\"', 'position': 4}]}]\n\nspell_checker.correction('Hmelnitskiy', max_mistakes_number_part=.5)\n# [{'word': 'Khmelnytskyi',\n# 'corrections': [{'mistake_type': 'missing symbol \"K\"', 'position': 0},\n# {'mistake_type': 'wrong symbol \"H\": replaced on \"h\"', 'position': 0},\n# {'mistake_type': 'wrong symbol \"i\": replaced on \"y\"', 'position': 5},\n# {'mistake_type': 'missing symbol \"y\"', 'position': 9},\n# {'mistake_type': 'extra symbol \"y\"', 'position': 10}]}]\n\nspell_checker.correction('Kharkiv')\n# [{'word': 'Kharkiv', 'corrections': []}]\n```\n",
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