2 citations · 2 across the 3 of their papers we have counts for
6 papers
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…