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 texts (the first indicates rarer events than the second; the…
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 with that of a music performance or a programming languages…
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 have been studied. One such metric is Yule’s K, which…
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 such as Twitter. Automatic extraction of these template expressions is…
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 a good model serves to characterize the nature of a…
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 is studied in terms of its relation to scaling properties…
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 polysemeous words (those having multiple meanings). We study alternative mathematical…
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
