nltk
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
nltk has 6 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (13)
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.
providedByProvided by(4)
- Regex Method
ex:regex-method - Sentence Method
ex:sentence-method - Treebank Method
ex:treebank-method - Word Method
ex:word-method
providedByModuleProvided by Module(4)
- Regexp Tokenizer Class
ex:regexp-tokenizer-class - Sent Tokenize Function
ex:sent-tokenize-function - Treebank Word Tokenizer Class
ex:treebank-word-tokenizer-class - Word Tokenize Function
ex:word-tokenize-function
importedFromImported From(1)
- Tokenize Text Function
ex:tokenize-text-function
importsImports(1)
- Spelling Correction Function
ex:spelling-correction-function
importsFromModuleImports From Module(1)
- Nltk Tokenize Import
nltk-tokenize-import
importsModuleImports Module(1)
- Nltk Import
ex:nltk-import
rdf:typeRdf:type(1)
- Nltk Wordnet
ex:nltk-wordnet
Other facts (4)
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 | Python Module | [1] |
| Rdf:type | Module | [2] |
| Provides | Word Tokenize Function | [2] |
| Provides | Sent Tokenize Function | [2] |
Timeline
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References (2)
ctx:claims/beam/0845f42d-00b4-4084-9f9d-a1132003310d- full textbeam-chunktext/plain1 KB
doc:beam/0845f42d-00b4-4084-9f9d-a1132003310dShow excerpt
min_distance = distance closest_token = token_in_dict return closest_token def spelling_correction(input_text): """Apply spelling correction to the input text.""" try: # Tokenize input text …
ctx:claims/beam/480c6d5f-104b-4404-ba2b-5c38ac7d8e27- full textbeam-chunktext/plain1 KB
doc:beam/480c6d5f-104b-4404-ba2b-5c38ac7d8e27Show excerpt
```python def tokenize_text_whitespace(text): tokens = text.split() return tokens # Test the function text = "This is another test sentence." tokens = tokenize_text_whitespace(text) print(tokens) ``` ### Integrating with Existing …
See also
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