Maximum entropy, word-frequency, Chinese characters, and multiple meanings

scientific article published on 8 May 2015

Maximum entropy, word-frequency, Chinese characters, and multiple meanings is …
instance of (P31):
scholarly articleQ13442814

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P819ADS bibcode2015PLoSO..1025592Y
P818arXiv ID1402.1939
P356DOI10.1371/JOURNAL.PONE.0125592
P8608Fatcat IDrelease_7lrdvhtolfhmxhppdrpll3txfa
P724Internet Archive IDarxiv-1402.1939
P932PMC publication ID4425542
P698PubMed publication ID25955175
P5875ResearchGate publication ID260126704

P50authorXiao-Yong YanQ55476833
P2093author name stringPetter Minnhagen
P2860cites workLeast effort and the origins of scaling in human languageQ24599975
Deviation of Zipf's and Heaps' Laws in human languages with limited dictionary sizesQ28709374
Efficient learning strategy of Chinese characters based on network approachQ31130574
50 years of inordinate fondness.Q35030070
Zipf's Law and Avoidance of Excessive SynonymyQ38386855
Power-Law Distributions in Empirical DataQ50377899
Network properties of written human language.Q51931844
On a Class of Skew Distribution FunctionsQ56059728
Random texts exhibit Zipf's-law-like word frequency distributionQ56079626
Language as an evolving word webQ56782610
The Meaning-Frequency Relationship of WordsQ57623197
Some effects of intermittent silenceQ74481857
Markov processes: Linguistics and Zipf's lawQ74558436
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue5
P407language of work or nameEnglishQ1860
P304page(s)e0125592
P577publication date2015-05-08
P1433published inPLOS OneQ564954
P1476titleMaximum entropy, word-frequency, Chinese characters, and multiple meanings
P478volume10

Reverse relations

Q51266861Probability distribution of intersymbol distances in random symbolic sequences: Applications to improving detection of keywords in texts and of amino acid clustering in proteins.cites workP2860

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