Comments (4)
This is expected behavior, since the input contains capital letters, it prevents lookup
from exiting early with an exact match (latex). And although, latex
is found in the dictionary, the frequency of la
(157960401) is much higher than the frequency of latex
(10502825), Latex
is split into La
and tex
.
If you pass in latexequation123
with max_edit_distance=0
, the output will be latex equation 123
as expected.
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Thanks for the clarification.
Setting max_edit_distance to 1 gives the desirable results in lower cases.
However, in this Camel case, the actual expectation is to ignore the edit distance introduced by the capital letter for a case insensitive match.
This feels somewhat different from increasing the max_edit_distance by one.
Is there an option for this that retains the original case without adding capitalized words to the dictionary?
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Currently there is no such option, the original author has suggested a possible solution but has not implemented it in the original code. I am not sure how to implement this in the current code.
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Alright, it seems like lowering the case beforehand and capitalizing later could be the workaround for now.
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Related Issues (20)
- ignore_term_with_digits doesn't work HOT 2
- replaced_words is not correct HOT 4
- Correction doesn't prioritize bigram. HOT 3
- Predicts garbage for Bengali input HOT 7
- wrong word segmentation result HOT 1
- First line of the text file reads wrong HOT 4
- edit distance issue HOT 1
- Substring search
- error if i use spell checker to my dataset HOT 4
- How to empty the dictionary quickly HOT 3
- Custom Edit Distance HOT 2
- Using a custom dictionary with the desired correction HOT 1
- the frequency in the loaded dictionary is absolute, not relative
- Incompatible architecture on macOS
- load 5.5mb dictionary consume 1GB memory?
- Incompatible architecture on macOS
- Correction not using bi-grams
- Bigrams omitted from save and load pickle methods HOT 5
- Does SymSpell has spell checker ? HOT 2
- Error when pip install on MacOS HOT 7
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