We explore the complexity underlying human symbolic sequences via entropy rate estimation. Consider the number of possibilities for a time series of length n, with a parameter h, as 2_hn_. For a…
The bitcoin price crash at the beginning of 2018 was caused by various social factors. The influence of news wire stories and social media was especially crucial because of the…
The theory of econophysics reveals the scaling properties of price, which explains why market crashes much more frequently than expected. A challenge of financial market modeling is to characterize the…
Real instances of social systems have a bursty character, meaning that events occur in a clustered manner. For example, the figure below shows how rare events occur over time in…
How grammatically complex are adults’ utterances as compared with those of children? How is a literary text more structurally complex than a Wikipedia source? How can such complexity be compared…
Various metrics are considered in terms of whether they characterize different kinds of data. For example, in the case of natural language, metrics that specify the author, language, or genre…
Templates are multi-word expressions with slots, such as “Starting at _ on _ ” or “regard _ as _”, that appear frequently in text and also in data from sources…
A generative model is a mathematical formulation that generates a sample similar to real data. Many such models have been proposed using machine learning methods, including deep learning. Study of…
For mathematical models of language, their potential, limitations, and ways of improvement are investigated in terms of whether they reproduce the complex properties of language. The nature of linguistic structure…
State-of-the-art word embedding methods represent a word with a single vector and presume a linear vector space, which does not easily incorporate nonlinearity that is necessary to, for example, represent…
計算言語学と自然言語の複雑系科学
言語の数理モデルと言語構造の計算論的表現
自然言語処理、言語的視点からの社会的複雑系の解析・予測
