938 resultados para text analytic approaches


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This chapter explores the different ways in which discourse-analytic approaches reveal the ‘meaningfulness’ of text and talk. It reviews four diverse approaches to discourse analysis of particular value for current research in linguistics: Conversation Analysis (CA), Discourse Analysis (DA), Critical Discourse Analysis (CDA) and Feminist Post-structuralist Discourse Analysis (FPDA). Each approach is examined in terms of its background, motivation, key features, and possible strengths and limitations in relation to the field of linguistics. A key way to schematize discourse-analytic methodology is in terms of its relationship between microanalytical approaches, which examine the finer detail of linguistic interactions in transcripts, and macroanalytical approaches, which consider how broader social processes work through language (Heller, 2001). This chapter assesses whether there is a strength in a discourse-analytic approach that aligns itself exclusively with either a micro- or macrostrategy, or whether, as Heller suggests, the field needs to fi nd a way of ‘undoing’ the micro–macro dichotomy in order to produce richer, more complex insights within linguistic research.

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Human beings are political animals. They are also articulate mammals. How are these two aspects linked? This is a question that is only beginning to be explored. The present collection makes a contribution to the investigations into the use of language in those situations which, informally and intuitively, we call ‘political’. Such an approach is revealing not only for politics itself but also for the human language capacity. Each chapter outlines a particular method or analytic approach and illustrates its application to a contemporary political issue, institution or mode of political behaviour. As a whole, the collection aims to give a sample of current research in the field. It will interest those who are beginning to carry the research paradigm forward, as well as provide an introduction for newcomers, whether they come from neighbouring or remote disciplines or from none.

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During the last four decades, educators have created a range of critical literacy approaches for different contexts, including compulsory schooling (Luke & Woods, 2009) and second language education (Luke & Dooley, 2011). Despite inspirational examples of critical work with young students (e.g., O’Brien, 1994; Vasquez, 1994), Comber (2012) laments the persistent myth that critical literacy is not viable in the early years. Assumptions about childhood innocence and the priorities of the back-to-basics movement seem to limit the possibilities for early years literacy teaching and learning. Yet, teachers of young students need not face an either/or choice between the basic and critical dimensions of literacy. Systematic ways of treating literacy in all its complexity exist. We argue that the integrative imperative is especially important in schools that are under pressure to improve technical literacy outcomes. In this chapter, we document how critical literacy was addressed in a fairytales unit taught to 4.5 - 5.5 year olds in a high diversity, high poverty Australian school. We analyze the affordances and challenges of different approaches to critical literacy, concluding they are complementary rather than competing sources of possibility. Furthermore, we make the case for turning familiar classroom activities to critical ends.

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This study makes out the case for the use of the Conversational Analytic method as a research approach that might both extricate and chronicle the features of the journalism interview. It seeks to encourage such research to help inform understanding of this form and to provide further lessons as to the nature of journalism practice. Such studies might follow many paths but this paper focuses more particularly on the outcomes for the debate as to the continued relevance of "objectivity" in informing journalism professional practice. To make out the case for the veracity of CA as a means through which the conduct of journalism practice might be explored the paper examines: the theories of the interaction order that gave rise to the CA method; outlines the key features of the journalism interview as explicated through the CA approach; outlines the implications of such research for the establishment of the standing of "objectivity". It concludes as to the wider relevance of such studies of journalism practice for a fracturing journalism field, which suffers from a lack of benchmarks to measure the public benefit of the range of forms that now proliferate on the internet.

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This paper evaluates the performance of different text recognition techniques for a mobile robot in an indoor (university campus) environment. We compared four different methods: our own approach using existing text detection methods (Minimally Stable Extremal Regions detector and Stroke Width Transform) combined with a convolutional neural network, two modes of the open source program Tesseract, and the experimental mobile app Google Goggles. The results show that a convolutional neural network combined with the Stroke Width Transform gives the best performance in correctly matched text on images with single characters whereas Google Goggles gives the best performance on images with multiple words. The dataset used for this work is released as well.

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Meta-analyses estimate a statistical effect size for a test or an analysis by combining results from multiple studies without necessarily having access to each individual study's raw data. Multi-site meta-analysis is crucial for imaging genetics, as single sites rarely have a sample size large enough to pick up effects of single genetic variants associated with brain measures. However, if raw data can be shared, combining data in a "mega-analysis" is thought to improve power and precision in estimating global effects. As part of an ENIGMA-DTI investigation, we use fractional anisotropy (FA) maps from 5 studies (total N=2, 203 subjects, aged 9-85) to estimate heritability. We combine the studies through meta-and mega-analyses as well as a mixture of the two - combining some cohorts with mega-analysis and meta-analyzing the results with those of the remaining sites. A combination of mega-and meta-approaches may boost power compared to meta-analysis alone.

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OBJECTIVES: This study investigated the extent that psychosocial job stressors had lasting effects on a scaled measure of mental health. We applied econometric approaches to a longitudinal cohort to: (1) control for unmeasured individual effects; (2) assess the role of prior (lagged) exposures of job stressors on mental health and (3) the persistence of mental health.

METHODS: We used a panel study with 13 annual waves and applied fixed-effects, first-difference and fixed-effects Arellano-Bond models. The Short Form 36 (SF-36) Mental Health Component Summary score was the outcome variable and the key exposures included: job control, job demands, job insecurity and fairness of pay.

RESULTS: Results from the Arellano-Bond models suggest that greater fairness of pay (β-coefficient 0.34, 95% CI 0.23 to 0.45), job control (β-coefficient 0.15, 95% CI 0.10 to 0.20) and job security (β-coefficient 0.37, 95% CI 0.32 to 0.42) were contemporaneously associated with better mental health. Similar results were found for the fixed-effects and first-difference models. The Arellano-Bond model also showed persistent effects of individual mental health, whereby individuals' previous reports of mental health were related to their reporting in subsequent waves. The estimated long-run impact of job demands on mental health increased after accounting for time-related dynamics, while there were more minimal impacts for the other job stressor variables.

CONCLUSIONS: Our results showed that the majority of the effects of psychosocial job stressors on a scaled measure of mental health are contemporaneous except for job demands where accounting for the lagged dynamics was important.

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An introductory overview of the historical foundations, practical precedents of current 'critical' approaches to English as a Second Language teaching - with specific reference to 'critical pedagogy' and 'text analytic' work.

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We propose a cluster ensemble method to map the corpus documents into the semantic space embedded in Wikipedia and group them using multiple types of feature space. A heterogeneous cluster ensemble is constructed with multiple types of relations i.e. document-term, document-concept and document-category. A final clustering solution is obtained by exploiting associations between document pairs and hubness of the documents. Empirical analysis with various real data sets reveals that the proposed meth-od outperforms state-of-the-art text clustering approaches.

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Objective To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. Design Systematic review. Data sources The electronic databases which were searched included PubMed, Cinahl, Medline, Google Scholar, and Proquest. The bibliography of all relevant articles was examined and associated articles were identified using a snowballing technique. Selection criteria For inclusion, articles were required to meet the following criteria: (a) used a health-related database, (b) focused on injury-related cases, AND used machine learning approaches to analyse textual data. Methods The papers identified through the search were screened resulting in 16 papers selected for review. Articles were reviewed to describe the databases and methodology used, the strength and limitations of different techniques, and quality assurance approaches used. Due to heterogeneity between studies meta-analysis was not performed. Results Occupational injuries were the focus of half of the machine learning studies and the most common methods described were Bayesian probability or Bayesian network based methods to either predict injury categories or extract common injury scenarios. Models were evaluated through either comparison with gold standard data or content expert evaluation or statistical measures of quality. Machine learning was found to provide high precision and accuracy when predicting a small number of categories, was valuable for visualisation of injury patterns and prediction of future outcomes. However, difficulties related to generalizability, source data quality, complexity of models and integration of content and technical knowledge were discussed. Conclusions The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.

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Die BBC-Serie SHERLOCK war 2011 eine der meistexportierten Fernsehproduktionen Großbritanniens und wurde weltweit in viele Sprachen übersetzt. Eine der Herausforderungen bei der Übersetzung stellen die Schrifteinblendungen der Serie (kurz: Inserts) dar. Die Inserts versprachlichen die Gedanken des Protagonisten, bilden schriftliche und digitale Kommunikation ab und zeichnen sich dabei durch ihre visuelle Auffälligkeit und teilweise als einzige Träger sprachlicher Kommunikation aus, womit sie zum wichtigen ästhetischen und narrativen Mittel in der Serie werden. Interessanterweise sind in der Übersetztung alle stilistischen Eigenschaften der Original-Inserts erhalten. In dieser Arbeit wird einerseits untersucht, wie Schrifteinblendungen im Film theoretisch beschrieben werden können, und andererseits, was sie in der Praxis so übersetzt werden können, wie es in der deutschen Version von Sherlock geschah. Zur theoretischen Beschreibung werden zunächst die Schrifteinblendungen in Sherlock Untertitelungsnormen anhand relevanter grundlegender semiotischer Dimensionen gegenübergestellt. Weiterhin wird das Verhältnis zwischen Schrifteinblendungen und Filmbild erkundet. Dazu wird geprüft, wie gut verschiedene Beschreibungsansätze zu Text-Bild-Verhältnissen aus der Sprachwissenschaft, Comicforschung, Übersetzungswissenschaft und Typografie die Einblendungen in Sherlock erklären können. Im praktischen Teil wird die Übersetzung der Einblendungen beleuchtet. Der Übersetzungsprozess bei der deutschen Version wird auf Grundlage eines Experteninterviews mit dem Synchronautor der Serie rekonstruiert, der auch für die Formulierung der Inserts zuständig war. Abschließend werden spezifische Übersetzungsprobleme der Inserts aus der zweiten Staffel von SHERLOCK diskutiert. Es zeigt sich, dass Untertitelungsnormen zur Beschreibung von Inserts nicht geeignet sind, da sie in Dimensionen wie Position, grafische Gestaltung, Animation, Soundeffekte, aber auch Timing stark eingeschränkt sind. Dies lässt sich durch das historisch geprägte Verständnis von Untertiteln erklären, die als möglichst wenig störendes Beiwerk zum fertigen Filmbild und -ablauf (notgedrungen) hinzugefügt werden, wohingegen für die Inserts in SHERLOCK teilweise sogar ein zentraler Platz in der Bild- und Szenenkomposition bereits bei den Dreharbeiten vorgesehen wurde. In Bezug auf Text-Bild-Verhältnisse zeigen sich die größten Parallelen zu Ansätzen aus der Comicforschung, da auch dort schriftliche Texte im Bild eingebettet sind anstatt andersherum. Allerdings sind auch diese Ansätze zur Beschreibung von Bewegung und Ton unzureichend. Die Erkundung der Erklärungsreichweite weiterer vielversprechender Konzepte, wie Interface und Usability, bleibt ein Ziel für künftige Studien. Aus dem Experteninterview lässt sich schließen, dass die Übersetzung von Inserts ein neues, noch unstandardisiertes Verfahren ist, in dem idiosynkratische praktische Lösungen zur sprachübergreifenden Kommunikation zwischen verschiedenen Prozessbeteiligten zum Einsatz kommen. Bei hochqualitative Produktionen zeigt ist auch für die ersetzende Insertübersetzung der Einsatz von Grafikern unerlässlich, zumindest für die Erstellung neuer Inserts als Übersetzungen von gefilmtem Text (Display). Hierbei sind die theoretisch möglichen Synergien zwischen Sprach- und Bildexperten noch nicht voll ausgeschöpft. Zudem zeigt sich Optimierungspotential mit Blick auf die Bereitstellung von sorgfältiger Dokumentation zur ausgangssprachlichen Version. Diese wäre als Referenzmaterial für die Übersetzung insbesondere auch für Zwecke der internationalen Qualitätssicherung relevant. Die übersetzten Inserts in der deutschen Version weisen insgesamt eine sehr hohe Qualität auf. Übersetzungsprobleme ergeben sich für das genretypische Element der Codes, die wegen ihrer Kompaktheit und multiplen Bezügen zum Film eine Herausforderung darstellen. Neben weiteren bekannten Übersetzungsproblemen wie intertextuellen Bezügen und Realia stellt sich immer wieder die Frage, wieviel der im Original dargestellten Insert- und Displaytexte übersetzt werden müssen. Aus Gründen der visuellen Konsistenz wurden neue Inserts zur Übersetzung von Displays notwendig. Außerdem stellt sich die Frage insbesondere bei Fülltexten. Sie dienen der Repräsentation von Text und der Erweiterung der Grenzen der fiktiv dargestellten Welt, sind allerdings mit hohem Übersetzungsaufwand bei minimaler Bedeutung für die Handlung verbunden.

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The written text, and approaches to reading it, serves well as an analogy for the classroom space as a "text" that teachers are able to compose; and students are able to read, interpret meaning(s) of, and make responses to and about (Rosenblatt, 1988). Researchers point to ways in which the classroom can be conceptualized as a text to be evoked, experienced, and read (Freire & Macedo, 1987; Powell, 2009; Rosenblatt, 1988; Spears-Bunton & Powell, 2009).^ The present study analyzed secondary data including: 10 transcripts of teacher talks and six self-reports retrieved from the program evaluation archives of DOR Foundation. The data described six teachers' classroom experiences subsequent to professional development centered on Goma character education curriculum that was used during a summer youth program located in South Georgia. Goma, an acronym that stands for Goal, Objective, Method, and Attitude, is a character education paradigm derived from The Inclusive Community Building Ellison Model, the theoretical framework used for this study. The Model identifies conflict resolution as one of its five foci (Hunt, Howard, & Rice, 1998). Hunt (2006) conceived Goma as part of a 7-Step unitary process, also named the 7-Step pathway, to demonstrate how conflict resolution is accomplished within a variety of contexts.^ Analysis of the data involved: (a) a priori coding of teacher talks transcripts using the components of the Goma 7-Step pathway as coding categories, (b) emergent coding of teacher talks transcripts for the types of experiences teachers evidenced, and (c) emergent coding of teachers' self-reports for categories of teachers' instructional activities. Results of the study showed positive influence of Goma curriculum on participating teachers and their instructional practices. Teachers were shown to have had cognitive, instructional, emotional, and social experiences that were most evident when they reported changes in their attitudes toward their students, themselves, and their instructional practices. The present study provided implications for classroom teachers wherein all aspects of teachers' instructional practices can be guided by principles of positive character; and can be used to help compose the kinds of "texts" that may likely contribute to a classroom character culture.^

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In the undergraduate engineering program at Griffith University in Australia, the unit 1006ENG Design and Professional Skills aims to provide an introduction to engineering design and professional practice through a project-based learning (PBL) approach to problem solving. It provides students with an experience of PBL in the first-year of their programme. The unit comprises an underpinning lecture series, design work including group project activities, an individual computer-aided drawing exercise/s and an oral presentation. Griffith University employs a ‘Student Experience of Course’ (SEC) online survey as part of its student evaluation of teaching, quality improvement and staff performance management processes. As well as numerical response scale items, it includes the following two questions inviting open-ended text responses from students: i) What did you find particularly good about this course? and ii) How could this course be improved? The collection of textual data in in student surveys is commonplace, due to the rich descriptions of respondent experiences they can provide at relatively low cost. However, historically these data have been underutilised because they are time consuming to analyse manually, and there has been a lack of automated tools to exploit such data efficiently. Text analytics approaches offer analysis methods that result in visual representations of comment data that highlight key individual themes in these data and the relationships between those themes. We present a text analytics-based evaluation of the SEC open-ended comments received in the first two years of offer of the PBL unit 1006ENG. We discuss the results obtained in detail. The method developed and documented here is a practical and useful approach to analysing/visualising open-ended comment data that could be applied by others with similar comment data sets.

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The written text, and approaches to reading it, serves well as an analogy for the classroom space as a “text” that teachers are able to compose; and students are able to read, interpret meaning(s) of, and make responses to and about (Rosenblatt, 1988). Researchers point to ways in which the classroom can be conceptualized as a text to be evoked, experienced, and read (Freire & Macedo, 1987; Powell, 2009; Rosenblatt, 1988; Spears-Bunton & Powell, 2009). The present study analyzed secondary data including: 10 transcripts of teacher talks and six self-reports retrieved from the program evaluation archives of DOR Foundation. The data described six teachers’ classroom experiences subsequent to professional development centered on Goma character education curriculum that was used during a summer youth program located in South Georgia. Goma, an acronym that stands for Goal, Objective, Method, and Attitude, is a character education paradigm derived from The Inclusive Community Building Ellison Model, the theoretical framework used for this study. The Model identifies conflict resolution as one of its five foci (Hunt, Howard, & Rice, 1998). Hunt (2006) conceived Goma as part of a 7-Step unitary process, also named the 7-Step pathway, to demonstrate how conflict resolution is accomplished within a variety of contexts. Analysis of the data involved: (a) a priori coding of teacher talks transcripts using the components of the Goma 7-Step pathway as coding categories, (b) emergent coding of teacher talks transcripts for the types of experiences teachers evidenced, and (c) emergent coding of teachers’ self-reports for categories of teachers’ instructional activities. Results of the study showed positive influence of Goma curriculum on participating teachers and their instructional practices. Teachers were shown to have had cognitive, instructional, emotional, and social experiences that were most evident when they reported changes in their attitudes toward their students, themselves, and their instructional practices. The present study provided implications for classroom teachers wherein all aspects of teachers’ instructional practices can be guided by principles of positive character; and can be used to help compose the kinds of “texts” that may likely contribute to a classroom character culture.

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This volume is a series of explorations of language policy from a discursive perspective. Its chief aim is to systematically explore the interconnectedness of language policy and discourse through what we are terming ‘discursive approaches to language policy’ (DALP). We show that language policy is a multilayered phenomenon that is constituted and enacted in and through discourse (which is defined more closely in Sect. 1.2). Language policy is a fast-growing, vibrant, and interdisciplinary field of inquiry that offers a variety of theoretical frameworks, methodologies, analytic approaches, and empirical findings: the framing sections at the beginning of each part of this volume and the commentary at the end frame the discussion of developments in language policy and especially the role of DALP therein.