Dontopedia

correct_spelling

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

correct_spelling has 124 facts recorded in Dontopedia across 7 references, with 11 live disagreements.

124 facts·87 predicates·7 sources·11 in dispute

Mostly:has parameter(7), rdf:type(5), step(5)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (33)

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.

usedInMethodUsed in Method(6)

appliesToApplies to(5)

hasMethodHas Method(5)

usedByUsed by(5)

resultOfResult of(2)

callsMethodCalls Method(1)

containsMethodContains Method(1)

functionFunction(1)

inputToInput to(1)

isInstanceMethodIs Instance Method(1)

outputOfOutput of(1)

parameterOfParameter of(1)

predictsPredicts(1)

returnTypeOfReturn Type of(1)

sequenceSequence(1)

Other facts (122)

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.

122 facts
PredicateValueRef
Has Parameterquery[1]
Has ParameterQuery[3]
Has Parameterself[3]
Has ParameterQuery[4]
Has ParameterQuery[5]
Has ParameterSelf[6]
Has ParameterQuery[6]
Rdf:typeLinguistic Form[2]
Rdf:typeMethod[3]
Rdf:typeMethod[4]
Rdf:typeMethod[6]
Rdf:typeCorrection[7]
StepTokenize Query[3]
StepIterate Words[3]
StepGet Context Window[3]
StepCorrect Word[3]
StepReplace Word[3]
Algorithm StepTokenization[3]
Algorithm StepContext Extraction[3]
Algorithm StepSpelling Correction[3]
Algorithm StepWord Substitution[3]
Algorithm StepString Construction[3]
Commenttokenize the query into words[4]
Commentiterate over each word in the query[4]
Commentcheck if the word is in the dictionary[4]
Commentreplace the word with its correction[4]
Commentjoin the corrected words back into a query string[4]
Code Commenttokenize the query into words[4]
Code Commentiterate over each word in the query[4]
Code Commentcheck if the word is in the dictionary[4]
Code Commentreplace the word with its correction[4]
Code Commentjoin the corrected words back into a query string[4]
Has Commenttokenize the query into words[4]
Has Commentiterate over each word in the query[4]
Has Commentcheck if the word is in the dictionary[4]
Has Commentreplace the word with its correction[4]
Has Commentjoin the corrected words back into a query string[4]
Returnscorrected query[1]
ReturnsCorrected Query[5]
ReturnsCorrected Query[6]
Uses Control StructureTry Block[3]
Uses Control StructureFor Loop[3]
Invokes MethodGet Context Window[3]
Invokes MethodCorrect Word[3]
Performs OperationWord Replacement[3]
Performs OperationString Join[3]
Tokenizesquery[1]
Iterates Overwords[1]
Gets Context WindowContext Window[1]
Replacesoriginal word[1]
Joinscorrected words[1]
CallsCorrect Word[1]
Modifieswords array in place[1]
Has Try Blocktrue[3]
Has Return ValueCorrected Query String[3]
Exception HandlingTry Except[3]
Method Typeinstance-method[3]
Code SnippetPython Class Definition[3]
Code Ends Abruptlytrue[3]
Error Handling Strategytry-except-block[3]
Uses LibraryTime[4]
Measures Execution Timetrue[4]
Start Time MeasurementStart Time[4]
End Time MeasurementEnd Time[4]
Tokenizes Inputtrue[4]
Tokenization Methodsplit[4]
Iterates Over Wordstrue[4]
Checks Dictionary Membershiptrue[4]
Replaces Wordtrue[4]
Joins Corrected Wordstrue[4]
Join Separator" "[4]
Prints Execution Timetrue[4]
Returns ValueCorrected Query[4]
LanguagePython[4]
Calculates DurationEnd Time Minus Start Time[4]
Prints DurationDuration String[4]
Has Self Referencetrue[4]
Method ofSpelling Correction[4]
Returns Corrected QueryCorrected Query[4]
Has Self Parametertrue[4]
Uses Range Functiontrue[4]
Uses Len Functiontrue[4]
Creates Words Listtrue[4]
Modifies List in Placetrue[4]
Uses Time String Formattingtrue[4]
Uses Print Functiontrue[4]
Initializes Dictionary As Emptytrue[4]
Instance Methodtrue[4]
Relies on DictionaryDictionary[4]
Uses Index Based Accesstrue[4]
Uses Words VariableWords List[4]
Separator for Join" "[4]
Python Method Signaturedef correct_spelling(self, query)[4]
Time Measurement Syntaxtime.time()[4]
Print Statement Syntaxprint(f'Time taken: {end_time - start_time} seconds')[4]
Return Statement Syntaxreturn corrected_query[4]
Requires Selftrue[4]
Parameter Orderquery[4]
Uses Split Methodtrue[4]
Uses Join Methodtrue[4]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

hasParameterbeam/0100631c-bfe6-49fe-8b76-b1150559b449
query
tokenizesbeam/0100631c-bfe6-49fe-8b76-b1150559b449
query
iteratesOverbeam/0100631c-bfe6-49fe-8b76-b1150559b449
words
getsContextWindowbeam/0100631c-bfe6-49fe-8b76-b1150559b449
ex:context-window
replacesbeam/0100631c-bfe6-49fe-8b76-b1150559b449
original word
joinsbeam/0100631c-bfe6-49fe-8b76-b1150559b449
corrected words
returnsbeam/0100631c-bfe6-49fe-8b76-b1150559b449
corrected query
callsbeam/0100631c-bfe6-49fe-8b76-b1150559b449
ex:correct-word
modifiesbeam/0100631c-bfe6-49fe-8b76-b1150559b449
words array in place
typebeam/492a2be8-97dc-44e7-ac65-452e7217c875
ex:Linguistic-Form
typebeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:Method
hasParameterbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:query
hasTryBlockbeam/28ff3364-2017-4558-946d-63674a03e0f4
true
stepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:tokenize-query
stepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:iterate-words
stepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:get-context-window
stepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:correct-word
stepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:replace-word
hasReturnValuebeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:corrected-query-string
usesControlStructurebeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:try-block
usesControlStructurebeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:for-loop
invokesMethodbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:get-context-window
invokesMethodbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:correct-word
performsOperationbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:word-replacement
performsOperationbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:string-join
algorithmStepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:tokenization
algorithmStepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:context-extraction
algorithmStepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:spelling-correction
algorithmStepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:word-substitution
algorithmStepbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:string-construction
exceptionHandlingbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:try-except
methodTypebeam/28ff3364-2017-4558-946d-63674a03e0f4
instance-method
hasParameterbeam/28ff3364-2017-4558-946d-63674a03e0f4
self
codeSnippetbeam/28ff3364-2017-4558-946d-63674a03e0f4
ex:python-class-definition
codeEndsAbruptlybeam/28ff3364-2017-4558-946d-63674a03e0f4
true
errorHandlingStrategybeam/28ff3364-2017-4558-946d-63674a03e0f4
try-except-block
typebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:Method
labelbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
correct_spelling
hasParameterbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:query
usesLibrarybeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:time
measuresExecutionTimebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
startTimeMeasurementbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:start-time
endTimeMeasurementbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:end-time
tokenizesInputbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
tokenizationMethodbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
split
iteratesOverWordsbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
checksDictionaryMembershipbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
replacesWordbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
joinsCorrectedWordsbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
joinSeparatorbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
" "
printsExecutionTimebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
returnsValuebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:corrected-query
languagebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
Python
commentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
tokenize the query into words
commentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
iterate over each word in the query
commentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
check if the word is in the dictionary
commentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
replace the word with its correction
commentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
join the corrected words back into a query string
calculatesDurationbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:end-time minus start-time
printsDurationbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:duration-string
hasSelfReferencebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
methodOfbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:spelling-correction
returnsCorrectedQuerybeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:corrected-query
hasSelfParameterbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesRangeFunctionbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesLenFunctionbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
createsWordsListbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
modifiesListInPlacebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesTimeStringFormattingbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesPrintFunctionbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
initializesDictionaryAsEmptybeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
codeCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
tokenize the query into words
codeCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
iterate over each word in the query
codeCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
check if the word is in the dictionary
codeCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
replace the word with its correction
codeCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
join the corrected words back into a query string
instanceMethodbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
reliesOnDictionarybeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:dictionary
usesIndexBasedAccessbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesWordsVariablebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:words-list
separatorForJoinbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
" "
pythonMethodSignaturebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
def correct_spelling(self, query)
timeMeasurementSyntaxbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
time.time()
printStatementSyntaxbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
print(f'Time taken: {end_time - start_time} seconds')
returnStatementSyntaxbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
return corrected_query
hasCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
tokenize the query into words
hasCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
iterate over each word in the query
hasCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
check if the word is in the dictionary
hasCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
replace the word with its correction
hasCommentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
join the corrected words back into a query string
requiresSelfbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
parameterOrderbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
query
usesSplitMethodbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesJoinMethodbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesTimeTimebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:time.time
usesPrintbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:print
usesReturnbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:corrected_query
pythonSyntaxbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
def correct_spelling(self, query):
usesForLoopbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
loopVariablebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
i
loopRangebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
ex:range-of-words-length
usesIfStatementbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
ifConditionbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
words[i] in self.dictionary
dictionaryLookupbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
self.dictionary[words[i]]
listAssignmentbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
words[i] = self.dictionary[words[i]]
usesFStringbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
fStringExpressionbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
end_time - start_time
printMessagebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
Time taken: {end_time - start_time} seconds
modifiesWordsAtIndexbeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
usesIndexVariablebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
i
accessesDictionaryAttributebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
self.dictionary
joinsWithSpacebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
true
calculatesTimeDifferencebeam/56e5350d-9b8b-4765-a6c5-d324a644b00f
end_time - start_time
hasParameterbeam/e24dc3e9-d3c9-4c87-9eb2-f49f89b411ff
ex:query
returnsbeam/e24dc3e9-d3c9-4c87-9eb2-f49f89b411ff
ex:corrected-query
inverseOfbeam/e24dc3e9-d3c9-4c87-9eb2-f49f89b411ff
ex:corrected-query
typebeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:Method
labelbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
correct_spelling
memberOfbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:spelling-correction
hasParameterbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:self
hasParameterbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:query
returnsbeam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
ex:corrected-query
typebeam/8a4993f4-f608-4dde-bd3d-4ddc74b8b9ff
ex:Correction
correctFormbeam/8a4993f4-f608-4dde-bd3d-4ddc74b8b9ff
meaning

References (7)

7 references
  1. ctx:claims/beam/0100631c-bfe6-49fe-8b76-b1150559b449
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0100631c-bfe6-49fe-8b76-b1150559b449
      Show excerpt
      self.spell_corrector = pipeline('text2text-generation', model='t5-small') def correct_spelling(self, query): # tokenize the query into words words = query.split() # iterate over each word in the
  2. ctx:claims/beam/492a2be8-97dc-44e7-ac65-452e7217c875
    • full textbeam-chunk
      text/plain1 KBdoc:beam/492a2be8-97dc-44e7-ac65-452e7217c875
      Show excerpt
      Before attempting to correct the spelling, preprocess the context window to remove punctuation and convert all words to lowercase. This ensures consistency and simplifies the correction process. ### Step 2: Use a Statistical Approach for C
  3. ctx:claims/beam/28ff3364-2017-4558-946d-63674a03e0f4
    • full textbeam-chunk
      text/plain1 KBdoc:beam/28ff3364-2017-4558-946d-63674a03e0f4
      Show excerpt
      self.context_window = 5 # considering 5 words before and after the target word self.common_misspellings = { 'loking': 'looking', 'improove': 'improve', 'spelng': 'spelling' }
  4. ctx:claims/beam/56e5350d-9b8b-4765-a6c5-d324a644b00f
  5. ctx:claims/beam/e24dc3e9-d3c9-4c87-9eb2-f49f89b411ff
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e24dc3e9-d3c9-4c87-9eb2-f49f89b411ff
      Show excerpt
      correction_module.load_dictionary(dictionary_data) query = "I'm loking for a way to improove my spelng" corrected_query = correction_module.correct_spelling(query) print(corrected_query) # Output: "I'm looking for a way to improve my spel
  6. ctx:claims/beam/731b8e8a-1f12-4ab1-a853-9852e66bc19e
  7. ctx:claims/beam/8a4993f4-f608-4dde-bd3d-4ddc74b8b9ff
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8a4993f4-f608-4dde-bd3d-4ddc74b8b9ff
      Show excerpt
      # Test the implementation with different query loads test_queries = ["What is the meening of life?"] * 2500 # Example queries # Test with different batch sizes and worker counts batch_sizes = [100, 200, 500, 1000, 2500] worker_counts = [5

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