The results of a computational analysis of all predications, finite and non-finite, in a one-million-word corpus of present-day American English (the "Brown Corpus") are presented. The analysis shows the nature of the syntactic differences among the various genres of writing represented in the data base, especially between informative prose and imaginative prose. The results also demonstrate th...

Based on data from a large-scale experiment with human subjects, we conclude that the logarithm of probability to guess a word in context (unpredictability) depends linearly on the word length. This result holds both for poetry and prose, even though with prose, the subjects don’t know the length of the omitted word. We hypothesize that this effect reflects a tendency of natural language to hav...

We are witnessing the emergence of a new technology for dynamically creating stories tailored to the interests of particular readers. Narrative prose generators o er much promise for literacy education, but designing them for maximal e ectiveness requires us to understand their e ect on readers. This article describes the evaluation of StoryBook, an implemented narrative prose generation system...

'Poetry' and 'prose' are categories which are normally used to distinguish the two main types of discourse in language. But there is some debate whether this division is helpful and valid when applied to the discourse of the Hebrew Bible. Whereas most scholars accept the validity of the two categories, Kugel (1981) has argued forcefully that the category of poetry is a misleading imposition of ...

We investigate the maximal length of repeat as a function of the text length in ten English texts. The maximal length of repeat in the experimental data is greater than a power of the logarithm of the text length where the exponent is close to 2. This result indicates that English prose cannot be modeled by a finite-energy stochastic process, differently than we have previously assumed.