Marcadores prosódicos da escrita literária: uma análise da obra Manuelzão e Miguilim, de Guimarães Rosa

to each other. These approaches reveal the speaker's attitudes, their feelings expressed in statements and in the contexts in which those expressions are used. Cagliari (1989) calls this kind of discursive reference as prosodic markers in literary writing. In this project, the corpus for the analysis comes from the work of Guimarães Rosa: Manuelzão e Miguilim. The main goal of the present project is to develop studies on the subject, since there is virtually nothing done about the prosodic writing markers. Develop working methods is an important objective, in order to show how the prosodic markers can be studied. This type of study is not only important to linguistics: phonetics, textual analysis and discourse, but also to literary studies. Different ages of literary expressions used differently such resources as shown by the work of Cagliari (1989). The methodology of this project starts collecting data to compose the corpus with examples categorized as prosodic markers. Then, according to prosodic theories, these expressions are classified in types. The contexts in which they appear are important elements and they will be highlighted. The narrative of the plot is also an important context. Dialogues are good source of prosodic markers. In the work of Guimarães Rosa: Manuelzão e Miguilim, it was observed that the author likes to reveal the feelings of the characters in the novel through stated words in their speech. There are prosodic markers showing feeling like: intimidating, serene, gentle, cheerful, worried, angry, with irony, etc. The authors also refer to the fact that the character pronounced his speech with different voice qualities such as loud, hoarse, whispering, etc. This project studies the association between some prosodic elements of speech and their occurrence in literary texts as prosodic writing markers, as defined in the project. The data come from the phonetic descriptions of words and expressions regarded as prosodic...

A "mão pronta" e a divina: manifestações da justiça em contos rosianos

Pós-graduação em Estudos Literários - FCLAR

Sophie Calle: entre imagens e palavras

A relação de Sophie Calle com dois textos ficcionais, de autoria de Hervé Guibert e Paul Auster, permite discutir um ponto central de sua poética: a atuação como performer, colocada por alguns críticos sob o signo do situacionismo. Como suas performances envolvem uma narrativa, foram analisados seus aspectos fotográficos e verbais, tendo como epicentro Suíte veneziana (1980). Qual o papel da fotografia nas narrativas de Calle, nas quais ela é personagem de si mesma? A fotografia é vestígio de acontecimentos reais e seu aspecto documental corrobora a neutralidade dos relatos escritos. É, ao mesmo tempo, fruto de um gesto performático, o qual, ao designar determinados fatos, converte a realidade em imagem.

CONTEXT TREE SELECTION AND LINGUISTIC RHYTHM RETRIEVAL FROM WRITTEN TEXTS

The starting point of this article is the question "How to retrieve fingerprints of rhythm in written texts?" We address this problem in the case of Brazilian and European Portuguese. These two dialects of Modern Portuguese share the same lexicon and most of the sentences they produce are superficially identical. Yet they are conjectured, on linguistic grounds, to implement different rhythms. We show that this linguistic question can be formulated as a problem of model selection in the class of variable length Markov chains. To carry on this approach, we compare texts from European and Brazilian Portuguese. These texts are previously encoded according to some basic rhythmic features of the sentences which can be automatically retrieved. This is an entirely new approach from the linguistic point of view. Our statistical contribution is the introduction of the smallest maximizer criterion which is a constant free procedure for model selection. As a by-product, this provides a solution for the problem of optimal choice of the penalty constant when using the BIC to select a variable length Markov chain. Besides proving the consistency of the smallest maximizer criterion when the sample size diverges, we also make a simulation study comparing our approach with both the standard BIC selection and the Peres-Shields order estimation. Applied to the linguistic sample constituted for our case study, the smallest maximizer criterion assigns different context-tree models to the two dialects of Portuguese. The features of the selected models are compatible with current conjectures discussed in the linguistic literature.

Discourse and bipolar disorder: Narrative therapy on northeast Brazil

Background: The expression 'bipolar disorder' refers to any of several psychological disorders of mood that alternate episodes of depression and mania. Also called manic depression or manic-depressive illness, it is a relatively common but unknown pathology that brings some stigmas for patients and provokes deleterious effects for their lives. This research aimed to comprehend actions, behaviors and emotions involved with bipolar disorder, through narratives of patient's personal and familiar histories. Methods: We surveyed 30 patients from a psychiatric service located in Aparecida, Paraiba, Brazil. Selected patients had bipolar disorder according to DSM-IV. For data collection, we used non-structured interview, approaching specific aspects related to bipolar disorder. Quantitative and qualitative analysis were done and Hamilton Rating Scale for Depression (HAMD) was used. Results: Most of patients presented depressive actions associated with moderate euphoria. 11 of them related familiar history of psychopathology. Mania and hippomania were prevalent on male gender, while psychotic symptoms overlay ate female. Conclusion: Patients lack a translation of behavioral and temperamental processes to minimize harm caused to their lives.

Structure-semantics interplay in complex networks and its effects on the predictability of similarity in texts

The classification of texts has become a major endeavor with so much electronic material available, for it is an essential task in several applications, including search engines and information retrieval. There are different ways to define similarity for grouping similar texts into clusters, as the concept of similarity may depend on the purpose of the task. For instance, in topic extraction similar texts mean those within the same semantic field, whereas in author recognition stylistic features should be considered. In this study, we introduce ways to classify texts employing concepts of complex networks, which may be able to capture syntactic, semantic and even pragmatic features. The interplay between various metrics of the complex networks is analyzed with three applications, namely identification of machine translation (MT) systems, evaluation of quality of machine translated texts and authorship recognition. We shall show that topological features of the networks representing texts can enhance the ability to identify MT systems in particular cases. For evaluating the quality of MT texts, on the other hand, high correlation was obtained with methods capable of capturing the semantics. This was expected because the golden standards used are themselves based on word co-occurrence. Notwithstanding, the Katz similarity, which involves semantic and structure in the comparison of texts, achieved the highest correlation with the NIST measurement, indicating that in some cases the combination of both approaches can improve the ability to quantify quality in MT. In authorship recognition, again the topological features were relevant in some contexts, though for the books and authors analyzed good results were obtained with semantic features as well. Because hybrid approaches encompassing semantic and topological features have not been extensively used, we believe that the methodology proposed here may be useful to enhance text classification considerably, as it combines well-established strategies. (c) 2012 Elsevier B.V. All rights reserved.

Identification of literary movements using complex networks to represent texts

The use of statistical methods to analyze large databases of text has been useful in unveiling patterns of human behavior and establishing historical links between cultures and languages. In this study, we identified literary movements by treating books published from 1590 to 1922 as complex networks, whose metrics were analyzed with multivariate techniques to generate six clusters of books. The latter correspond to time periods coinciding with relevant literary movements over the last five centuries. The most important factor contributing to the distinctions between different literary styles was the average shortest path length, in particular the asymmetry of its distribution. Furthermore, over time there has emerged a trend toward larger average shortest path lengths, which is correlated with increased syntactic complexity, and a more uniform use of the words reflected in a smaller power-law coefficient for the distribution of word frequency. Changes in literary style were also found to be driven by opposition to earlier writing styles, as revealed by the analysis performed with geometrical concepts. The approaches adopted here are generic and may be extended to analyze a number of features of languages and cultures.

Structuring depressive discourse: A descriptive narrative process

This study aimed to evaluate the importance of a descriptive narrative process of the significance involved in a depressive phenomenon. The research population consisted of 324 adult and adolescent patients of both genders, located in the central area of the city of Paraiba, for clinical and psychological health care. For surveyed patients, suffering and or psychological pain were the most common complaints. A sample of 159 patients was taken, including male and female adolescents and adults. Data were collected through a narrative interview. Shutz' procedure was used for information analysis. The obtained data offered the opportunity to review concepts, discuss life history and listen to narrative positioning episodes of manifested depression. The narratives were considered to be a determinant factor to consider inherent conflicts.

The complexity of narrative interferes in the use of conjunctions in children with specific language impairment

PURPOSE: To verify the use of conjunctions in narratives, and to investigate the influence of stimuli's complexity over the type of conjunctions used by children with specific language impairment (SLI) and children with typical language development. METHODS: Participants were 40 children (20 with typical language development and 20 with SLI) with ages between 7 and 10 years, paired by age range. Fifteen stories with increasing of complexity were used to obtain the narratives; stories were classified into mechanical, behavioral and intentional, and each of them was represented by four scenes. Narratives were analyzed according to occurrence and classification of conjunctions. RESULTS: Both groups used more coordinative than subordinate conjunctions, with significant decrease in the use of conjunctions in the discourse of SLI children. The use of conjunctions varied according to the type of narrative: for coordinative conjunctions, both groups differed only between intentional and behavioral narratives, with higher occurrence in behavioral ones; for subordinate conjunctions, typically developing children's performance did not show differences between narratives, while SLI children presented fewer occurrences in intentional narratives, which was different from other narratives. CONCLUSION: Both groups used more coordinative than subordinate conjunctions; however, typically developing children presented more conjunctions than SLI children. The production of children with SLI was influenced by stimulus, since more complex narratives has less use of subordinate conjunctions.

Probing the statistical properties of unknown texts: application to the Voynich manuscript

While the use of statistical physics methods to analyze large corpora has been useful to unveil many patterns in texts, no comprehensive investigation has been performed on the interdependence between syntactic and semantic factors. In this study we propose a framework for determining whether a text (e.g., written in an unknown alphabet) is compatible with a natural language and to which language it could belong. The approach is based on three types of statistical measurements, i.e. obtained from first-order statistics of word properties in a text, from the topology of complex networks representing texts, and from intermittency concepts where text is treated as a time series. Comparative experiments were performed with the New Testament in 15 different languages and with distinct books in English and Portuguese in order to quantify the dependency of the different measurements on the language and on the story being told in the book. The metrics found to be informative in distinguishing real texts from their shuffled versions include assortativity, degree and selectivity of words. As an illustration, we analyze an undeciphered medieval manuscript known as the Voynich Manuscript. We show that it is mostly compatible with natural languages and incompatible with random texts. We also obtain candidates for keywords of the Voynich Manuscript which could be helpful in the effort of deciphering it. Because we were able to identify statistical measurements that are more dependent on the syntax than on the semantics, the framework may also serve for text analysis in language-dependent applications.