For any type of text processing or analysis, checking the spelling of the word is one of the basic requirements. This article discusses various ways that you can check the spellings of the words and also can correct the spelling of the respective word.
Using textblob library
First, you need to install the library textblob using pip in command prompt.
pip install textblob
You can also install this library in Jupyter Notebook as:
Python3
import sys!{sys.executable} - m pip install textblob |
Program for Spelling checker –
Python3
from textblob import TextBloba = "cmputr" # incorrect spellingprint("original text: "+str(a))b = TextBlob(a)# prints the corrected spellingprint("corrected text: "+str(b.correct())) |
Output:
original text: cmputr corrected text: computer
Using pyspellchecker library
You can install this library as below:
Using pip:
pip install pyspellchecker
In Jupyter Notebook:
Python3
import sys!{sys.executable} - m pip install pyspellchecker |
Spelling Checker program using pyspellchecker –
Python3
from spellchecker import SpellCheckerspell = SpellChecker()# find those words that may be misspelledmisspelled = spell.unknown(["cmputr", "watr", "study", "wrte"])for word in misspelled: # Get the one `most likely` answer print(spell.correction(word)) # Get a list of `likely` options print(spell.candidates(word)) |
Output:
computer
{'caput', 'caputs', 'compute', 'computor', 'impute', 'computer'}
water
{'water', 'watt', 'warr', 'wart', 'war', 'wath', 'wat'}
write
{'wroe', 'arte', 'wre', 'rte', 'wrote', 'write'}
Using JamSpell
To achieve the best quality while making spelling corrections dictionary-based methods are not enough. You need to consider the word surroundings. JamSpell is a python spell checking library based on a language model. It makes different corrections for a different context.
1) Install swig3
apt-get install swig3.0 # for linux brew install swig@3 # for mac
2) Install jamspell
pip install jamspell
3) Download a language model for your language
Python3
# Create a correctorcorrector = jamspell.TSpellCorrector()# Load Language model -# argument is a downloaded model file pathcorrector.LoadLangModel('Downloads/en_model.bin')# To fix text automatically run FixFragment:print(corrector.FixFragment('I am the begt spell cherken!'))# To get a list of possible candidates# pass a splitted sentence, and a word positionprint(corrector.GetCandidates(['i', 'am', 'the', 'begt', 'spell', 'cherken'], 3))print(corrector.GetCandidates(['i', 'am', 'the', 'begt', 'spell', 'cherken'], 5)) |
Output:
u'I am the best spell checker!' (u'best', u'beat', u'belt', u'bet', u'bent') (u'checker', u'chicken', u'checked', u'wherein', u'coherent', ...)
