sent_tokenize
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
sent_tokenize has 9 facts recorded in Dontopedia across 2 references.
Mostly:rdf:type(2), module location(1), is imported from(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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assignedByAssigned by(1)
- Sentences Variable
ex:sentences-variable
contains-functionsContains Functions(1)
- Nltk Tokenize
ex:nltk-tokenize
importsImports(1)
- Nltk.tokenize
ex:nltk.tokenize
providesProvides(1)
- Nltk
ex:nltk
Other facts (8)
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References (2)
ctx:claims/beam/9da27bd6-4d72-425e-a89c-dc2a4d657e13- full textbeam-chunktext/plain1 KB
doc:beam/9da27bd6-4d72-425e-a89c-dc2a4d657e13Show excerpt
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for class…
ctx:claims/beam/c74fa6c3-0d78-40c4-b277-0d9a4bb6fd55- full textbeam-chunktext/plain1 KB
doc:beam/c74fa6c3-0d78-40c4-b277-0d9a4bb6fd55Show excerpt
First, detect the languages present in the input text. This will help you apply the appropriate tokenization method for each language. ### Step 2: Tokenization Based on Detected Languages Use NLTK tokenization methods tailored to the detec…
See also
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