stop words
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
stop words has 5 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
removesRemoves(2)
- Stop Filter Factory
ex:stop-filter-factory - Stop Filter Factory
ex:StopFilterFactory
containsContains(1)
- Stopwords.txt
ex:stopwords.txt
includesIncludes(1)
- Text Preprocessing
ex:text-preprocessing
mayInvolveMay Involve(1)
- Tokenization Function
ex:tokenization-function
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 | Lexical Category | [1] |
| Rdf:type | Text Element | [3] |
| Filtered by | postprocess-tokens-function | [2] |
| Handled by | Tokenization Function | [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/c0884a2e-29aa-4684-8921-1409c256f092- full textbeam-chunktext/plain1 KB
doc:beam/c0884a2e-29aa-4684-8921-1409c256f092Show excerpt
<tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" /> <filter class="solr.SynonymGraphFilterFactory" synonyms="synonyms.txt" expand="true" ignoreCase…
ctx:claims/beam/19c50864-0395-4826-b4c8-6b6c2fab4d44- full textbeam-chunktext/plain1 KB
doc:beam/19c50864-0395-4826-b4c8-6b6c2fab4d44Show excerpt
return lang def tokenize_text(text, lang): if lang == 'en': doc = nlp_en(text) tokens = [token.text for token in doc] elif lang == 'es': doc = nlp_es(text) tokens = [token.text for token in doc] …
ctx:claims/beam/3944c294-dce2-4b03-9e06-a341ed687a01- full textbeam-chunktext/plain1 KB
doc:beam/3944c294-dce2-4b03-9e06-a341ed687a01Show excerpt
- It also demonstrates how to apply the function to 8,000 queries and prints the results for the first few queries. ### Additional Considerations - **Efficiency**: Ensure that the tokenization and sparse tuning practices are efficient,…
See also
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