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Jake Ryland Williams

7 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG2
  • physics.soc-ph2
ORCID 0000-0002-7050-8403

identity via Semantic Scholar / OpenAlex

most citedText mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language

34 citations · 38 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2014★ 34 cited

Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural language

Jake Ryland Williams, James P. Bagrow, Christopher M. Danforth +1

Natural languages are full of rules and exceptions. One of the most famous quantitative rules is Zipf's law which states that the frequency of occurrence of a word is approximately…

cs.CL2014

Zipf's law holds for phrases, not words

Jake Ryland Williams, Paul R. Lessard, Suma Desu +4

With Zipf's law being originally and most famously observed for word frequency, it is surprisingly limited in its applicability to human language, holding over no more than three t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.