scholarly article | Q13442814 |
P819 | ADS bibcode | 2015PLoSO..1025592Y |
P818 | arXiv ID | 1402.1939 |
P356 | DOI | 10.1371/JOURNAL.PONE.0125592 |
P8608 | Fatcat ID | release_7lrdvhtolfhmxhppdrpll3txfa |
P724 | Internet Archive ID | arxiv-1402.1939 |
P932 | PMC publication ID | 4425542 |
P698 | PubMed publication ID | 25955175 |
P5875 | ResearchGate publication ID | 260126704 |
P50 | author | Xiao-Yong Yan | Q55476833 |
P2093 | author name string | Petter Minnhagen | |
P2860 | cites work | Least effort and the origins of scaling in human language | Q24599975 |
Deviation of Zipf's and Heaps' Laws in human languages with limited dictionary sizes | Q28709374 | ||
Efficient learning strategy of Chinese characters based on network approach | Q31130574 | ||
50 years of inordinate fondness. | Q35030070 | ||
Zipf's Law and Avoidance of Excessive Synonymy | Q38386855 | ||
Power-Law Distributions in Empirical Data | Q50377899 | ||
Network properties of written human language. | Q51931844 | ||
On a Class of Skew Distribution Functions | Q56059728 | ||
Random texts exhibit Zipf's-law-like word frequency distribution | Q56079626 | ||
Language as an evolving word web | Q56782610 | ||
The Meaning-Frequency Relationship of Words | Q57623197 | ||
Some effects of intermittent silence | Q74481857 | ||
Markov processes: Linguistics and Zipf's law | Q74558436 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 5 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | e0125592 | |
P577 | publication date | 2015-05-08 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Maximum entropy, word-frequency, Chinese characters, and multiple meanings | |
P478 | volume | 10 |
Q51266861 | Probability distribution of intersymbol distances in random symbolic sequences: Applications to improving detection of keywords in texts and of amino acid clustering in proteins. | cites work | P2860 |
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