As previous word adoption models, though proposing potential factors that influence the survival of neologisms, receive little empirical examination, this corpus-based study compares the performance of two such models by providing clear operational criteria for each factor in the models and, consequently, proposes a hybrid model that improves the previous results. We focus on seventy-seven Chin...

The given work is focused on the principal ways by which new words and expressions enter the Chinese Internet language, the sources of new meanings for old words and phrases; neologisms and chengyu with modified meaning and structure. Some new tendencies in developing of the Chinese Internet language, such as wide use of dialect-originated words, archaic characters and monosyllabic words, are i...

Research on unsupervised word sense discrimination typically ignores a notable dynamic aspect, whereby the prevalence of a word sense varies over time, to the point that a given word (such as ’tweet’) can acquire a new usage alongside a pre-existing one (such as ’a Twitter post’ alongside ’a bird noise’). This work applies unsupervised methods to text collections within which such neologisms ca...

In this paper, we describe a system called Nehovah that generates neologisms from a set of base words provided by a user. Nehovah focuses on creating “good” neologisms by evaluating various attributes of a neologism such as how well it communicates the source concepts and how “catchy” it is. Because Nehovah depends on the user to weight the importance of various attributes of the neologism and ...

We consider a common managerial problem where an agent strives to achieve a prescribed target. We use this problem as a vehicle for comparing and discussing two approaches to decision making: optimising and “satisficing” (where the latter is a neologism due to H. Simon, 1976 Economics Nobel PrizeWinner).We compute the optimising and satisfactory strategies for the problem at hand and highlight ...