SpellCorrector
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
SpellCorrector has 17 facts recorded in Dontopedia across 2 references, with 3 live disagreements.
Mostly:has attribute(7), has method(3), rdf:type(2)
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.
definedInDefined in(3)
- Correct Word
ex:correct-word - Get Context Window
ex:get-context-window - Method
ex:method
isExternalDependencyIs External Dependency(2)
- Correct Word Method
ex:correct-word-method - Get Context Window Method
ex:get-context-window-method
usesSelfReferenceUses Self Reference(1)
- Method Definition
ex:method-definition
Other facts (15)
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.
| Predicate | Value | Ref |
|---|---|---|
| Has Attribute | Spell Corrector | [1] |
| Has Attribute | Context Window | [1] |
| Has Attribute | Context Window | [2] |
| Has Attribute | Common Misspellings | [2] |
| Has Attribute | Spell Corrector | [2] |
| Has Attribute | Success Count | [2] |
| Has Attribute | Failure Count | [2] |
| Has Method | Correct Spelling | [1] |
| Has Method | Get Context Window | [1] |
| Has Method | Correct Spelling | [2] |
| Rdf:type | Python Class | [1] |
| Rdf:type | Class | [2] |
| Programming Paradigm | object-oriented | [2] |
| Programming Language | Python | [2] |
| State Variables | Context Window Common Misspellings Spell Corrector Success Count Failure Count | [2] |
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.
References (2)
ctx:claims/beam/0100631c-bfe6-49fe-8b76-b1150559b449- full textbeam-chunktext/plain1 KB
doc:beam/0100631c-bfe6-49fe-8b76-b1150559b449Show 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…
ctx:claims/beam/28ff3364-2017-4558-946d-63674a03e0f4- full textbeam-chunktext/plain1 KB
doc:beam/28ff3364-2017-4558-946d-63674a03e0f4Show excerpt
self.context_window = 5 # considering 5 words before and after the target word self.common_misspellings = { 'loking': 'looking', 'improove': 'improve', 'spelng': 'spelling' } …
See also
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