\\b\\w+\\b
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
\\b\\w+\\b has 9 facts recorded in Dontopedia across 4 references, with 3 live disagreements.
Mostly:rdf:type(3), uses(2), matches(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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.
usesRegexPatternUses Regex Pattern(3)
- Apply Contextual Expansion Method
ex:apply-contextual-expansion-method - Apply Keyword Substitution Method
ex:apply-keyword-substitution-method - Tokenize Text
ex:tokenize_text
usesRegexUses Regex(2)
- Apply Contextual Expansion
ex:apply-contextual-expansion - Apply Keyword Substitution
ex:apply-keyword-substitution
usesRegularExpressionUses Regular Expression(1)
- Apply Keyword Substitution Method
ex:apply-keyword-substitution-method
Other facts (8)
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 | Regex Pattern | [1] |
| Rdf:type | Regex Pattern | [3] |
| Rdf:type | Regex Pattern | [4] |
| Uses | Word Boundary Regex | [2] |
| Uses | Escape Function | [2] |
| Matches | Word Tokens | [3] |
| Matches | Word Characters | [4] |
| Regex Syntax | \\b | [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.
References (4)
ctx:claims/beam/730c48fc-40c0-4bb9-aa45-3ee6f2bdd32c- full textbeam-chunktext/plain1 KB
doc:beam/730c48fc-40c0-4bb9-aa45-3ee6f2bdd32cShow excerpt
query = self.sanitize_query(query) query = self.apply_keyword_substitution(query) query = self.apply_pattern_matching(query) query = self.apply_contextual_expansion(query) return query def saniti…
ctx:claims/beam/6160f680-6610-43df-b520-efa8dbd5ff46- full textbeam-chunktext/plain1 KB
doc:beam/6160f680-6610-43df-b520-efa8dbd5ff46Show excerpt
(r'\bOR\b', 'ORELSE') ] self.contextual_expansions = { 'table': 'TABLE_NAME', 'condition': 'CONDITION_VALUE' } def rewrite_query(self, query): try: expande…
ctx:claims/beam/e7c6aa25-11df-495a-974c-9dbc5aca18ac- full textbeam-chunktext/plain1 KB
doc:beam/e7c6aa25-11df-495a-974c-9dbc5aca18acShow excerpt
[Turn 10780] User: I've improved tokenization accuracy by 13% for 5,000 queries after rule adjustments, but I'm struggling to optimize the code for better performance; can you help me identify bottlenecks and suggest improvements? ```python…
ctx:claims/beam/5a656395-eca3-4495-bbd0-31046aeca5e6- full textbeam-chunktext/plain1 KB
doc:beam/5a656395-eca3-4495-bbd0-31046aeca5e6Show excerpt
with ProcessPoolExecutor(max_workers=max_workers) as executor: for token_freq in executor.map(tokenize_text, text_chunks): results.append(token_freq) return results # Example usage text_chunks = ["This is an exa…
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