corrected_word
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
corrected_word has 5 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
targetTarget(2)
- Keep Original Word
ex:keep-original-word - Use First Suggestion
ex:use-first-suggestion
assignsAssigns(1)
- Keep Original
ex:keep-original
elementElement(1)
- Append Operation
ex:append-operation
returnsReturns(1)
- Min Function
ex:min-function
usesVariableUses Variable(1)
- Correct Query
ex:correct-query
Other facts (3)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
Timeline
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References (3)
ctx:claims/beam/2e9fecea-ca91-4203-b029-db5f820e044actx:claims/beam/ba8f0f6e-4076-45ec-b8ac-81b951e5391d- full textbeam-chunktext/plain1 KB
doc:beam/ba8f0f6e-4076-45ec-b8ac-81b951e5391dShow excerpt
nltk.download('words') word_list = set(words.words()) # Define a function to correct a query using NLTK def correct_query_nltk(query): # Split the query into words words = query.split() # Correct each word corrected_wo…
ctx:claims/beam/9ab8fe53-eb32-42d9-8eac-c30e73177819
See also
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