Python - Spelling Check





Checking of spelling is a basic requirement in any text processing or analysis. The python package pyspellchecker provides us this feature to find the words that may have been mis-spelled and also suggest the possible corrections.

First, we need to install the required package using the following command in our python environment.

 pip install pyspellchecker 

Now we see below how the package is used to point out the wrongly spelled words as well as make some suggestions about possible correct words.

from spellchecker import SpellChecker

spell = SpellChecker()

# find those words that may be misspelled
misspelled = spell.unknown(['let', 'us', 'wlak','on','the','groun'])

for word in misspelled:
    # Get the one `most likely` answer
    print(spell.correction(word))

    # Get a list of `likely` options
    print(spell.candidates(word))

When we run the above program we get the following output −

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group
{'group', 'ground', 'groan', 'grout', 'grown', 'groin'}
walk
{'flak', 'weak', 'walk'}

Case Sensitive

If we use Let in place of let then this becomes a case sensitive comparison of the word with the closest matched words in dictionary and the result looks different now.

from spellchecker import SpellChecker

spell = SpellChecker()

# find those words that may be misspelled
misspelled = spell.unknown(['Let', 'us', 'wlak','on','the','groun'])

for word in misspelled:
    # Get the one `most likely` answer
    print(spell.correction(word))

    # Get a list of `likely` options
    print(spell.candidates(word))

When we run the above program we get the following output −

group
{'groin', 'ground', 'groan', 'group', 'grown', 'grout'}
walk
{'walk', 'flak', 'weak'}
get
{'aet', 'ret', 'get', 'cet', 'bet', 'vet', 'pet', 'wet', 'let', 'yet', 'det', 'het', 'set', 'et', 'jet', 'tet', 'met', 'fet', 'net'}


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Ans: Python Text Processing Tutorial for Beginners - Learn Python Text Processing in simple and easy steps starting from basic to advanced concepts with examples including Text Processing,Text Processing Environment,String Immutability,Sorting Lines,Reformatting Paragraphs,Counting Token in Paragraphs ,Convert Binary to ASCII,Convert ASCII to Binary,Strings as Files,Backward File Reading,Filter Duplicate Words,Extract Emails from Text,Extract URL from Text,Pretty Print Numbers,Text Processing State Machine,Capitalize and Translate,Tokenization,Remove Stopwords,Synonyms and Antonyms,Text Translation,Word Replacement,Spelling Check,WordNet Interface,Corpora Access,Tagging Words,Chunks and Chinks,Chunk Classification,Text Classification,Bigrams,Process PDF,Process Word Document,Reading RSS feed,Sentiment Analysis,Search and Match,Text Munging,Text wrapping,Frequency Distribution,Text Summarization,Stemming Algorithms,Constrained Search. view more..
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