Random texts do not exhibit the real Zipf's law-like rank distribution.
about
Modeling fractal structure of city-size distributions using correlation functionsKeywords and Co-Occurrence Patterns in the Voynich Manuscript: An Information-Theoretic AnalysisZipf's law in short-time timbral codings of speech, music, and environmental sound signals.Zipf's law holds for phrases, not words.Word decoding of protein amino Acid sequences with availability analysis: a linguistic approachEmergence of linguistic laws in human voiceA scaling law for random walks on networks.Evolution of scaling emergence in large-scale spatial epidemic spreading.Zipf's word frequency law in natural language: a critical review and future directions.Zipf's Law for Word Frequencies: Word Forms versus Lemmas in Long Texts.Zipf's Law: Balancing Signal Usage Cost and Communication EfficiencyLarge-Scale Analysis of Zipf's Law in English TextsA fractal approach to dynamic inference and distribution analysis.Compression as a universal principle of animal behavior.Explaining Zipf's law via a mental lexicon.Simon's fundamental rich-get-richer model entails a dominant first-mover advantage.Dynamics of cognition.Words by the tail: Assessing lexical diversity in scholarly titles using frequency-rank distribution tail fits
P2860
Q21090991-2435F03F-5182-41C9-AFCC-3B8EEB3C2779Q21133014-85011B77-708C-4416-A1B5-7EEB1EB74EBCQ27305797-A066D3A6-B6DE-4F2B-BAE3-8951AAD2E696Q28628994-721BEA2B-34AB-412D-AAF2-DE9498820A39Q28710553-BD65F6E2-6BE5-4421-8ABC-43621285441FQ30361365-9A3F05D1-3C72-4922-934D-5C479C74B6D7Q30367789-F2B6B3FA-D976-452D-8E57-776EA25AAB50Q30404682-05439F65-252B-4678-B1C8-5E2D3C66DEFBQ34250753-1BAA4505-FCAD-47F1-BF54-5036247549E6Q35687152-3851E794-DB18-4F52-9795-222543A2AFB5Q35795436-B8D3FE71-A1C9-4549-8C52-0778C1416ADCQ35901593-75CCE5DC-5A59-4F96-928A-B123148068E9Q36569461-05C3827E-9028-4DE1-97C0-FEAC1440E6A5Q43580694-E339F2F7-0C7A-4301-AAAD-6F4B6AC636AEQ43705298-7705701A-07E6-443C-B554-3204E731B336Q47799834-9CC65AB4-2D0F-4E44-BD1E-DE52BE8CC3DBQ50777881-3740E3A4-A940-4919-8596-67CA13B13DD1Q57176806-D079789F-BC28-4D1D-A5DF-FB384C4946C8
P2860
Random texts do not exhibit the real Zipf's law-like rank distribution.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Random texts do not exhibit the real Zipf's law-like rank distribution.
@ast
Random texts do not exhibit the real Zipf's law-like rank distribution.
@en
Random texts do not exhibit the real Zipf's law-like rank distribution.
@nl
type
label
Random texts do not exhibit the real Zipf's law-like rank distribution.
@ast
Random texts do not exhibit the real Zipf's law-like rank distribution.
@en
Random texts do not exhibit the real Zipf's law-like rank distribution.
@nl
prefLabel
Random texts do not exhibit the real Zipf's law-like rank distribution.
@ast
Random texts do not exhibit the real Zipf's law-like rank distribution.
@en
Random texts do not exhibit the real Zipf's law-like rank distribution.
@nl
P2860
P1433
P1476
Random texts do not exhibit the real Zipf's law-like rank distribution.
@en
P2093
Brita Elvevåg
Ramon Ferrer-I-Cancho
P2860
P356
10.1371/JOURNAL.PONE.0009411
P407
P577
2010-03-09T00:00:00Z