This article presents an empirical evaluation of text classification methods in literary domain. This study compared the performance of two popular algorithms, naı̈ve Bayes and support vector machines (SVMs) in two literary text classification tasks: the eroticism classification of Dickinson’s poems and the sentimentalism classification of chapters in early American novels. The algorithms were a...

Applying machine translation (MT) to literary texts involves the same domain shift challenges that arise for any sublanguage (e.g. medical or scientific). However, it also introduces additional challenges. One focus in the discussion of translation theory in the humanities has been on the human translator’s role in staying faithful to an original text versus adapting it to make it more familiar...

In this paper a social network is extracted from a literary text. The social network shows, how frequent the characters interact and how similar their social behavior is. Two types of similarity measures are used: the first applies co-occurrence statistics, while the second exploits cosine similarity on different types of word embedding vectors. The results are evaluated by a paid micro-task cr...

A Computational Perspective on Allusion Most literary allusion, the deliberate evocation by one text of a passage in another, is based upon text reuse. Yet most instances of textual similarity are not meaningful literary allusions. The goal of the Tesserae project (http://tesserae.caset.buffalo.edu) is to automatically detect allusion in a corpus of literary texts, primarily Classical Latin poe...

Modern literary scholars must combine access to vast collections of text with the traditional close analysis of their field. In this paper, we discuss the design and development of tools to support this work. Based on analysis of the needs of literary scholars, we constructed a suite of visualization tools for the analysis of large collections of tagged text (i.e. text where one or more words h...

this article was written based on the key concept of polysystem theory which, in translating any literary text, emphasizes the transference of the social systems in which a text is embedded. as stated by tynjanov (1978a), polysystem theory saw translated literature as a system operating in the larger social systems of the target text. thus, the task of understanding as well as transferring such...

We describe Authorship Attribution of Bengali literary text. Our contributions include a new corpus of 3,000 passages written by three Bengali authors, an end-toend system for authorship classification based on character n-grams, feature selection for authorship attribution, feature ranking and analysis, and learning curve to assess the relationship between amount of training data and test accu...

The article presents the main theoretical prerequisites for studying pragmatics of literary text. Determining functions text as a means communication in all variety its manifestations refers to fundamental problems linguistics.The general theory text, questions and observables impact perception are considered. global category, which is mandatory property each reflects attitude addressee object ...