To depict the mechanisms that have enabled the emergence of semantic meaning, philosophers and researchers particularly access a game-theoretic model: the signaling game. In this article I will argue that this model is also quite appropriate to analyze not only the emergence of semantic meaning, but also semantic change. In other words, signaling games might help to depict mechanisms of languag...

This paper intend to present an approach to analyse the change of word meaning based on word embedding, which is a more general method to quantize words than before. Through analysing the similar words and clustering in different period, semantic change could be detected. We analysed the trend of semantic change through density clustering method called DBSCAN. Statics and data visualization is ...

Semantic stochastic sentence realization is still in its fledgling stage. Most of the available stochastic realizers start from syntactic structures or shallow semantic input structures which still contain numerous syntactic features. This is unsatisfactory since sentence generation traditionally starts from abstract semantic or conceptual structures. However, a change of this state of affairs ...

Email text data is a rich resource that, when properly used, may enhance warning of economically material events in commercial enterprises. Armed with the temporal text classification of an email time stamp on a large data set, we combine latent semantic analysis with statistical process control, to detect potential change in sentiment. A novel approach to identifying the causes of change is pr...