57 citations · 84 across the 9 of their papers we have counts for
9 papers
Strahler Number of Natural Language Sentences in Comparison with Random Trees
Kumiko Tanaka-Ishii, Akira Tanaka
The Strahler number was originally proposed to characterize the complexity of river bifurcation and has found various applications. This article proposes computation of the Strahle…
A Comparison of Two Fluctuation Analyses for Natural Language Clustering Phenomena: Taylor and Ebeling & Neiman Methods
Kumiko Tanaka-Ishii, Shuntaro Takahashi
This article considers the fluctuation analysis methods of Taylor and Ebeling & Neiman. While both have been applied to various phenomena in the statistical mechanics domain, their…
Extraction of Templates from Phrases Using Sequence Binary Decision Diagrams
Daiki Hirano, Kumiko Tanaka-Ishii, Andrew Finch
The extraction of templates such as ``regard X as Y'' from a set of related phrases requires the identification of their internal structures. This paper presents an unsupervised ap…
Evaluating Computational Language Models with Scaling Properties of Natural Language
Shuntaro Takahashi, Kumiko Tanaka-Ishii
In this article, we evaluate computational models of natural language with respect to the universal statistical behaviors of natural language. Statistical mechanical analyses have…
Word Familiarity and Frequency
Kumiko Tanaka-Ishii, Hiroshi Terada
Word frequency is assumed to correlate with word familiarity, but the strength of this correlation has not been thoroughly investigated. In this paper, we report on our analysis of…
Assessing Language Models with Scaling Properties
Shuntaro Takahashi, Kumiko Tanaka-Ishii
Language models have primarily been evaluated with perplexity. While perplexity quantifies the most comprehensible prediction performance, it does not provide qualitative informati…
Taylor's law for Human Linguistic Sequences
Tatsuru Kobayashi, Kumiko Tanaka-Ishii
Taylor's law describes the fluctuation characteristics underlying a system in which the variance of an event within a time span grows by a power law with respect to the mean. Altho…
Long-Range Correlation Underlying Childhood Language and Generative Models
Kumiko Tanaka-Ishii
Long-range correlation, a property of time series exhibiting long-term memory, is mainly studied in the statistical physics domain and has been reported to exist in natural languag…
Do Neural Nets Learn Statistical Laws behind Natural Language?
Shuntaro Takahashi, Kumiko Tanaka-Ishii
The performance of deep learning in natural language processing has been spectacular, but the reasons for this success remain unclear because of the inherent complexity of deep lea…