A discussion on various experiments to utilize stylistic variation among texts for information retrieval purposes. 1. Stylistics Texts vary in many ways. Authors make choices when they write a text: they decide how to organize the material they have planned to introduce; they make choices between synonyms and syntactic constructions; they choose an intended audience for the text. Authors will m...

A significant part of the meaning of any text lies in the author's style. Different choices of words and syntactic structure convey different nuances in meaning, which must be carried through in any translation if it is to be considered faithful. Up to now, machine translation systems have been unable to do this. Subtleties of style are simply lost to current MT systems. The goal of the present...

We report results of stylistic differences in blogging for gender andagegroupvariation.Theresultsarebasedontwomutually independent features. The first feature is the use of slang words which is a new concept proposed by us for Stylistic study of bloggers. For the second feature, we have analyzed the variation in average length of sentences across various age groups and gender. These features ar...

Quotations are kernels not just of wisdom but also of beautiful and striking language. While recent studies have characterized the stylistic features of quotations, we characterize the order of stylistic information within quotations. Analyzing a corpus of two-sentence quotations collected from the social network Tumblr, we explore the ways that both low-level features and high-level features t...

In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture stylistic similarity between texts, we tested it in two different machine learning settings: clustering and binary classification.

We describe an approach for generating a wide variety of texts expressing the same content. By treating stylistic features as constraints on the output of a text planner, we explore the interaction between various stylistic features (from punctuation and layout to pronominal reference and discourse structure) and their impact on the form of the resulting text.

Texts vary not only by topic, but by style; indeed, often the variation between texts ‘about the same thing’ can be just as noticeable as the variation between texts ‘about different things’. Some facets of this variation are quite easy to detect, and quite predictable when applied to categorization of texts by genre, functional style, or tentatively quality. Making use of such variation in an ...

This article addresses the textual category of coherence and discusses verbal means its expression. The paper analyzes connections that mirror systemic relations between objects, phenomena processes a "primary" reality. argues language units different levels can be addressed as markers which contribute to semantic organization shaping text's formal structure. distinguishes following types conne...

We present initial investigation into the task of paraphrasing language while targeting a particular writing style. The plays of William Shakespeare and their modern translations are used as a testbed for evaluating paraphrase systems targeting a specific style of writing. We show that even with a relatively small amount of parallel training data, it is possible to learn paraphrase models which...