نتایج جستجو برای: literary texts

تعداد نتایج: 48969  

2013
Thomas Bögel Jannik Strötgen Christoph Mayer Michael Gertz

Temporal dependencies reveal interesting insights into the semantic discourse structure of narrative texts. The investigations of literary scientists are, as of today, mostly based on labor-intensive manual annotations. Computational Narratology, an important subtopic of the Digital Humanities, aims at facilitating annotations and supporting literary scientists with their analyses. According to...

Journal: :Вестник Башкирского университета 2018

Journal: :journal of teaching language skills 2012
katayon namiranian

introduction        gāthic texts are a collection of religious songs of zarothustra who lived about 1200 bc. of the seventy two hāts (stanzas) of yasna (one of the five chapters of avesta), seventeen hāts belong to five gāthas. these seventeen hāts have been classified into five categories based on their syllabic meter and the number of the song: 1) ahunavaiti, 2) ushtavaiti, 3)spanta.mainyu, ...

2014
Tania Rossetto

The long superficial engagement of literary scholars with the cartographic lexicon (under the label of literary ‘spatial turn’) has led to a need for a ‘recartographization’ of the field. This tendency, however, still remains primarily embedded within analytical (‘cartography of literature’) or critical (‘critical literary cartography’) approaches, and fails to engage the recent development of ...

2012
David Bamman Gregory Crane

We present here a method for automatically discovering several classes of text reuse across different languages, from the most similar (translations) to the most oblique (literary allusions). Allusions are an important subclass of reuse because they involve the appropriation of isolated words and phrases within otherwise unrelated sentences, so that traditional methods of identifying reuse incl...

Journal: :CoRR 2015
Philip Massey Patrick Xia David Bamman Noah A. Smith

We present a dataset of manually annotated relationships between characters in literary texts, in order to support the training and evaluation of automatic methods for relation type prediction in this domain (Makazhanov et al., 2014; Kokkinakis, 2013) and the broader computational analysis of literary character (Elson et al., 2010; Bamman et al., 2014; Vala et al., 2015; Flekova and Gurevych, 2...

2013
Gregory Lessard Michael Levison

This paper discusses the concept of semantic repetition in literary texts, that is, the recurrence of elements of meaning, possibly in the absence of repeated formal elements. A typology of semantic repetition is presented, as well as a framework for analysis based on the use of threaded Directed Acyclic Graphs. This model is applied to the script for the movie Groundhog Day. It is shown first ...

Journal: :Advances in Complex Systems 2016
Sandra D. Prado Silvio R. Dahmen Ana L. C. Bazzan Pádraig Mac Carron Ralph Kenna

We study temporal networks of characters in literature focusing on Alice’s Adventures in Wonderland (1865) by Lewis Carroll and the anonymous La Chanson de Roland (around 1100). The former, one of the most influential pieces of nonsense literature ever written, describes the adventures of Alice in a fantasy world with logic plays interspersed along the narrative. The latter, a song of heroic de...

2005
Daniel Pérez Susana Fernández Daniel Borrajo

Currently, there is some scientific interest on studying creativity and how it can be modeled by computer programs. One of the active subareas focuses on the generation of text, with some prior success systems. In this paper, we describe an example of this kind of system that automatically generates texts related to Greek mythology. We have elaborated on ideas coming from computer creativity, s...

2005
R. Basili

In this work a machine learning oriented perspective on computer aided support to literary analysis is presented. A representation of narrative phenomena is proposed and an automatic annotation model for such phenomena is trained on texts provided by a critic. As a short-term research task, we studied how the observable textual piece of evidence impact on the learning agent capabilities, over a...

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