We adapt the popular LDA topic model (Blei et al., 2003) to the representation of stylistic lexical information, evaluating our model on the basis of human-interpretability at the word and text level. We show, in particular, that this model can be applied to the task of inducing stylistic lexicons, and that a multi-dimensional approach is warranted given the correlations among stylistic dimensi...

Often, texts that have been written collaboratively do not \speak with a single voice." Eliminating stylistic incongruity, a di cult undertaking for both collaborative and singular writers, is the desired function of a software tool. This thesis describes the rst cycle of an iterative software development process towards meeting this goal. The user requirements are analyzed with respect to a mo...

Multiple versions of a document may need to be produced for diierent purposes and so may require quite diierent stylistic structures. This paper describes how we are building stylistic control into both natural language parsers (Pundit) and generators (Pen-man) to handle variations in hospital patient educational materials. Stylistic knowledge is formally represented in terms of a multi-level s...

We are developing stylistic grammars to provide the basis for a French and English stylistic parser. Our stylistic grammar is a branching stratificational model, built upon a foundation dealing with lexical, syntactic, and semantic stylistic realizations. Its central level uses a vocabulary of constituent stylistic elements common to both English and French, while the top level correlates styli...

Great design often results from intelligently balancing tradeoffs and leveraging of synergies between multiple product goals. While the engineering design community has numerous tools for managing the interface between functional goals in products, there are currently no formalized methods to concurrently optimize stylistic form and functional requirements. This research develops a method to co...

Authorship attribution is the task of identifying the author of a given text. The main concern of this task is to define an appropriate characterization of documents that captures the writing style of authors. This paper proposes a new method for authorship attribution supported on the idea that a proper identification of authors must consider both stylistic and topic features of texts. This me...

In an experiment stylistic choices in the new Dutch Bible translation were evaluated. 185 participants evaluated 4 fragments which differed type of variation (lexical or syntactic), source fragment (Bible - classical text) and way variations applied (single mixed). Also religious¬ness evaluator was taken into account. Examined is whether lexical modernization syntactic simplification are same, ...

We present the system we built for participating in the PAN-2016 Author Profiling Task [9]. The task asked to predict the gender and the age group of a person given several samples of his/her writing, and it was offered for three different languages: English, Spanish, and Dutch. We participated in both subtasks, for all three languages. Our approach focused on extracting genre-agnostic features...

User attribute prediction from social media text has proven successful and useful for downstream tasks. In previous studies, differences in user trait language use have been limited primarily to the presence or absence of words that indicate topical preferences. In this study, we aim to find linguistic style distinctions across three different user attributes: gender, age and occupational class...