Computational analysis of poetry is a challenging and interesting task in NLP. Human expertise on stylistics and aesthetics of poetry is generally expensive and scarce. In this work, we delve into the data to automatically extract stylistic and linguistic information which are useful for analysis and comparison of poems. We make use of semantic (word) features to perform subject-based classific...

this study aims at investigating voices in the persian translation of katherine mansfield's the garden party. in so doing, after a stylistic analysis of the voices in the original is done, it is argued by the authors that the polyphonous nature of the story is to a great extent due to the deployment of various sociolects in the story as well as the choice of free indirect discourse (fid) as the...

This article studies the relevance of an historical lexical analysis to the stylistic description of Modern Hebrew texts. The examination of the lexical make-up of two distinct genres – administrative language and folksong – reveals a correlation between the social functions of the corpora and their formal characteristics. The administrative corpus reflects the lexical structure of standard Mod...

Tourism English belongs to the English for Specific Purpose (ESP) and it has its own stylistic features. This paper aims at analyzing the stylistic features of tourism English. Firstly, a large amount of authentic materials are collected from official tourism websites of Britain and the U.S., and then a corpus named Tourism English Corpus (TEC) is compiled. Freiburg-LOB Corpus of British Englis...

aptness, defined as how the vehicle is well able to cover the salient features of the tenor (e.g., oil is like liquid gold vs. a train is like a worm), is claimed to be an important factor in the preference for metaphors over similes, or vice versa. this study was an attempt to test for the supposed correlation between the perceived degree of aptness and a priori stylistic preference for metaph...

Text classification is an important and challenging research domain. In this paper, identifying historical period and ethnic origin of documents using stylistic feature sets is investigated. The application domain is Jewish Law articles written in Hebrew-Aramaic. Such documents present various interesting problems for stylistic classification. Firstly, these documents include words from both la...

Papers from the workshop held in conjunction with the 28th Annual International ACM Conference on Research and Development in Information Retrieval, August 13-19, 2005, Salvador, Bahia, Brazil

The past decade has witnessed an explosion of studies comparing speech rhythm across various language varieties, many using the Pairwise Variability Index (PVI, ‎[6]). This renewal of interest in the cross-linguistic typology of prosodic rhythm has been accompanied by cautions that common acoustic measures of rhythm are highly variable between speakers (‎[5]). This paper introduces evidence tha...

A popular interest in Shakespeare has been matched in recent years by an increasing number of computer-assisted analyses of the plays. Although not without their critics, corpus stylistic studies have offered scope and reliability in the study of literary texts, particularly through key word analyses. In this paper, I show how Wmatrix, a web-based corpus processing environment (Rayson, 2003, 20...

Introduction Early researchers in authorship attribution used a variety of statistical methods to identify stylistic discriminators – characteristics which remain approximately invariant within the works of a given author but which tend to vary from author to author (Holmes 1998, McEnery & Oakes 2000). In recent years machine learning methods have been applied to authorship attribution. A few e...