Tokenizer Inheritance
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)
Tokenizer Inheritance has 2 facts recorded in Dontopedia across 1 reference.
2 facts·2 predicates·1 sources
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (2)
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.
2 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Code Pattern | [1] |
| Preserves | Default Behavior | [1] |
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.
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typebeam/18306c1f-b51a-45dd-b169-e340e3696b52
ex:CodePattern
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preservesbeam/18306c1f-b51a-45dd-b169-e340e3696b52
ex:default-behavior
References (1)
1 references
ctx:claims/beam/18306c1f-b51a-45dd-b169-e340e3696b52- full textbeam-chunktext/plain1 KB
doc:beam/18306c1f-b51a-45dd-b169-e340e3696b52Show excerpt
Now, let's tokenize some text and visualize the process for debugging. ```python # Sample text text = "Hello, world! This is a test sentence with [custom] tokens." # Process the text doc = nlp(text) # Print the tokens for token in doc: …
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