Comments (1)
This is a common problem. It is not only that the user intentionally types something wrong, but there are always unknown words in the input text that are not in the dictionary.
So how we can distinguish a non-existing or unknown word from a misspelled word?
Solution1: restrict the maximum edit distance (the number of splits + the numer of spelling corrections) within a sliding text window. If a string needs to be split into too many small words, and almost all of the sub-words need an additional spelling correction we can assume that this is an unknown/non-existing word.
Solution2: Use n-gram probabilities or Markov-chains. The co-occurrence of words is not random. Some words are more likely to occur together in a sentence than others, some words are frequently follow each others, others never. if the n-gram probabilities of the split and corrected words are below a certain threshold, we can assume that this is not a genuine correction, but an unknown/non-existing word.
Both solutions are currently not part of SymSpell and need to be implemented as an extension or by modifying the SymSpell code.
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Related Issues (20)
- Possible issue when misspelled word has 2 non consecutive deletes HOT 2
- Remove an entry? HOT 1
- Common contractions are missing from frequency_dictionary_en_82_765.txt HOT 6
- Use bigram for spell checking HOT 12
- nuspec needs to change .net472 to .net47 HOT 4
- (using MySQL) How do I efficiently limit resulting dictionary candidates to only those with DamLev distance <=2? HOT 2
- Create native binary packages for distros
- CreateDictionaryEntry behavior when `word` is empty string HOT 2
- Predicts garbage for Bengali input HOT 2
- WordSegmentation throws exception on any version greater than 6.5.* for some terms HOT 3
- is there any flutter / dart port? HOT 2
- Speeling mistake in demo HOT 1
- Incorrect dictionary entry? (contraction "you'v")
- terms like "Category 1a" not suggested on LookupCompound
- Alternate string metrics
- how you can start the spelling
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- support for trigram dictionaries HOT 1
- OCR spelling mistakes HOT 2
- do you know somebody else repo in python pls HOT 2
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