Correct Word
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Correct Word has 18 facts recorded in Dontopedia across 3 references, with 4 live disagreements.
Mostly:rdf:type(3), called with(2), takes parameter(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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.
usedInUsed in(2)
- Context Window
ex:context-window - Target Word
ex:target-word
callsCalls(1)
- Correct Spelling
ex:correct-spelling
generatedByGenerated by(1)
- Correction
ex:correction
hasMethodHas Method(1)
- Spelling Correction Module
ex:spelling-correction-module
invokesMethodInvokes Method(1)
- Correct Spelling
ex:correct-spelling
stepStep(1)
- Correct Spelling
ex:correct-spelling
usedByUsed by(1)
- Context
ex:context
Other facts (18)
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 |
|---|---|---|
| Rdf:type | Method Call | [2] |
| Rdf:type | Method | [2] |
| Rdf:type | Method | [3] |
| Called With | context window | [1] |
| Called With | current word | [1] |
| Takes Parameter | context_window | [1] |
| Takes Parameter | words[i] | [1] |
| Has Parameter | Context Window | [2] |
| Has Parameter | Target Word | [2] |
| Returns | corrected word | [1] |
| Defined in | Spell Corrector Class | [2] |
| Uses Model | T5 Small | [3] |
| Function | generates context-aware correction | [3] |
| Generates | Correction | [3] |
| Is Method of | Spelling Correction Module | [3] |
| Uses | Pre Trained Model | [3] |
| Receives Input From | Get Context Window | [3] |
| Requires | Context Input | [3] |
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 (3)
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' } …
ctx:claims/beam/1c9c925c-d548-4b0a-b17f-58c313ef04ea- full textbeam-chunktext/plain1 KB
doc:beam/1c9c925c-d548-4b0a-b17f-58c313ef04eaShow excerpt
2. **Context Extraction**: The `get_context_window` method extracts the context around the target word. 3. **Candidate Generation and Scoring**: The `correct_word` method uses a pre-trained language model (`t5-small`) to generate a context-…
See also
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