Normalizer
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Normalizer has 54 facts recorded in Dontopedia across 7 references, with 6 live disagreements.
Mostly:rdf:type(7), rdfs:label(5), has method(4)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Class[4]all time · D12b2d61 E885 4664 A34c 5efbe1a9589c
- Class[2]sourceall time · 311611bc 61f8 4ec4 9268 A08cc8494e13
- Class[1]all time · Ebb5c91f Ab60 4135 97de 33797ec06f38
- Component[3]all time · 32ec640f 9ed8 491e Bf90 30f5a7ef6971
- Stage[7]all time · 3eef6628 4538 4fe6 9283 7fe590ccb57c
- Text Processing Component[3]all time · 32ec640f 9ed8 491e Bf90 30f5a7ef6971
- Transformer Mixin[5]sourceall time · E66c8f32 4788 407e B972 Bdd1718f22f5
Has Methodin disputehasMethod
Importsin disputeimports
Part ofin disputepartOf
- Pipeline[4]all time · D12b2d61 E885 4664 A34c 5efbe1a9589c
- Text Processing Pipeline[1]all time · Ebb5c91f Ab60 4135 97de 33797ec06f38
Functionin disputefunction
- Normalize Reformulated Text[3]sourceall time · 32ec640f 9ed8 491e Bf90 30f5a7ef6971
- Normalizes Reformulated Text[4]sourceall time · D12b2d61 E885 4664 A34c 5efbe1a9589c
Callsin disputecalls
Rdfs:labelrdfs:label
- Normalizer[2]sourceall time · 311611bc 61f8 4ec4 9268 A08cc8494e13
- Normalizer[1]all time · Ebb5c91f Ab60 4135 97de 33797ec06f38
- Normalizer[7]all time · 3eef6628 4538 4fe6 9283 7fe590ccb57c
- Normalizer[4]sourceall time · D12b2d61 E885 4664 A34c 5efbe1a9589c
- Normalizer[6]all time · D8979a94 2fe3 4d60 9245 1ee87c9d534c
Precedesprecedes
Is CallableisCallable
- true[1]all time · Ebb5c91f Ab60 4135 97de 33797ec06f38
Is aisA
- Text Processing Component[1]all time · Ebb5c91f Ab60 4135 97de 33797ec06f38
Instantiatesinstantiates
Has Exception HandlinghasExceptionHandling
- Try Except Block 2[1]all time · Ebb5c91f Ab60 4135 97de 33797ec06f38
Inbound mentions (15)
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.
hasComponentHas Component(2)
- Pipeline
ex:pipeline - Pipeline Stages
ex:pipeline_stages
hasMemberHas Member(2)
- Component List
ex:component-list - Stages
ex:stages
precedesPrecedes(2)
- Llm Based Reformulator
ex:LLMBasedReformulator - Reformulator
ex:Reformulator
appliesStageApplies Stage(1)
- Reformulation Process
ex:reformulation_process
containsContains(1)
- Normalizer
ex:normalizer
definedInDefined in(1)
- Call
ex:__call__
describesDescribes(1)
- Explanation Section
ex:explanation-section
hasStageHas Stage(1)
- Processing Pipeline
ex:processing-pipeline
isSuperclassOfIs Superclass of(1)
- Transformer Mixin
ex:TransformerMixin
memberOfMember of(1)
- Call
ex:__call__
Other facts (23)
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 |
|---|---|---|
| Is Part of | Stages | [7] |
| Keeps Spaces | true | [2] |
| Keeps Alphanumeric | true | [2] |
| String Operation | filter | [2] |
| Error Template | Error in {ClassName} for text "{text}": {e} | [2] |
| Follows Pattern | Try Except Pattern | [2] |
| Output Type | string | [2] |
| Input Parameter | text | [2] |
| Pipeline Position | 2 | [2] |
| Is Example Implementation | true | [2] |
| Return Behavior on Error | returns original text | [2] |
| Logging Message Format | Error in Normalizer for text | [2] |
| Logging Function | logging.error | [2] |
| Has Error Handling | Try Except | [2] |
| Normalization Logic | keeps only alphanumeric characters and spaces | [2] |
| Operation Description | removes punctuation | [2] |
| Purpose | Text Normalization | [4] |
| Stage Name | normalizer | [5] |
| Inherits From | Transformer Mixin | [5] |
| Transform Uses | Strip Operation | [5] |
| Transform Implements | Strip Whitespace | [5] |
| Transform Does | Standardizing Formatting | [5] |
| Instantiated in | Normalizer | [6] |
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 (7)
- custom
ctx:claims/beam/ebb5c91f-ab60-4135-97de-33797ec06f38 - custom
ctx:claims/beam/311611bc-61f8-4ec4-9268-a08cc8494e13- full textbeam-chunktext/plain1 KB
doc:beam/311611bc-61f8-4ec4-9268-a08cc8494e13Show excerpt
# Example reformulation: replace specific words return text.replace('capital', 'capital city') except Exception as e: logging.error(f'Error in Reformulator for text "{text}": {e}') ret…
- custom
ctx:claims/beam/32ec640f-9ed8-491e-bf90-30f5a7ef6971- full textbeam-chunktext/plain1 KB
doc:beam/32ec640f-9ed8-491e-bf90-30f5a7ef6971Show excerpt
transformed_outputs = pipeline.transform(X_test) # Evaluate the performance accuracy = (transformed_outputs == y_test).mean() print(f'Transformation accuracy: {accuracy:.2%}') ``` ### Explanation 1. **TextPreprocessor**: Cleans and prepr…
- custom
ctx:claims/beam/d12b2d61-e885-4664-a34c-5efbe1a9589c- full textbeam-chunktext/plain1 KB
doc:beam/d12b2d61-e885-4664-a34c-5efbe1a9589cShow excerpt
inputs = data['input'] outputs = data['output'] # Split the data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(inputs, outputs, test_size=0.2) # Train the pipeline on the training data pipeline.fit(X_t…
- custom
ctx:claims/beam/e66c8f32-4788-407e-b972-bdd1718f22f5- full textbeam-chunktext/plain1 KB
doc:beam/e66c8f32-4788-407e-b972-bdd1718f22f5Show excerpt
class Normalizer(TransformerMixin): def fit(self, X, y=None): return self def transform(self, X): # Implement normalization logic here # e.g., standardizing formatting, etc. return X.apply(lambda…
- custom
ctx:claims/beam/d8979a94-2fe3-4d60-9245-1ee87c9d534c - custom
ctx:claims/beam/3eef6628-4538-4fe6-9283-7fe590ccb57c- full textbeam-chunktext/plain1 KB
doc:beam/3eef6628-4538-4fe6-9283-7fe590ccb57cShow excerpt
return text # Define the evaluation function def evaluate_reformulation(stages, inputs, outputs): # Apply the reformulation stages to the inputs reformulated_outputs = [] for input_ in inputs: output = input…
See also
- Re.sub
- Strip
- Try Except Pattern
- Normalize Reformulated Text
- Normalizes Reformulated Text
- Try Except
- Try Except Block 2
- Call
- Fit
- Transform
- Logging
- Re
- Transformer Mixin
- Normalizer
- Text Processing Component
- Stages
- Pipeline
- Text Processing Pipeline
- Validator
- Text Normalization
- Class
- Component
- Stage
- Standardizing Formatting
- Strip Whitespace
- Strip Operation
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