870 resultados para Mohn (The word)


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Neste texto trato de um conceito da espiritualidade do povo Guarani que é o Mborayu , a força-espírito: que integra e desintegra os elementos que compõem o Ñande Reko (a maneira de ser Guarani); que aglutina ou dispersa os elementos e os corpos (rete kwere) que compõem o indivíduo; que catalisa ou dilui Ñamandu (a natureza de todos os mundos). O Mborayu também abarca o Aywu (a palavra) que nomina e organiza uma compreensão do Ñeem (termo-idéia), do espírito das coisas, que não é a realidade (ete), porque a última realidade (opa wa erã) pertence a Ñemi Guaxu (o grande mistério). Nesse tom, percorro neste estudo, todo um universo da mítica e da espiritualidade Guarani, porque o Mborayu reúne todos os elementos que compõem Ñamandu, em uma totalidade inacabada e, por sua força de atração a vida (ikowe) é gerada, encontrando, no entanto, sua última expressão, na morte (mano), na desintegração, seu derradeiro sentido.(AU)

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Por um lado, o mundo do Século XXI com ferramentas que possibilitam cada vez mais estarmos conectados e dependentes das tecnologias de comunicação, em que a internet prevalece como meio principal para as pessoas se relacionarem, interagirem, consumirem, se divertirem e se informarem. Do outro lado, quase que uma ilha à parte dessa tendência tecnológica, um espaço em que a comunicação oral, a confiança, o valor da palavra, o conhecer o vizinho do bairro e a comunidade são o que prevalece. Trata-se de mais um fenômeno decorrente do crescimento da Classe C no Brasil, posterior ao lançamento do Plano Real, por Fernando Henrique Cardoso no governo do ex-presidente Itamar Franco, e da implantação de medidas sociais nos anos seguintes, durante o governo de Luiz Inácio Lula da Silva. O segmento que representa 54% da população brasileira e desperta a atenção das empresas como uma nova frente de geração de riquezas e negócios. Por meio de pesquisa bibliográfica e análise documental para análise de conteúdo, este estudo de caso único investigará como o Banco Itaú se comunica com esse público para oferecer o microcrédito na periferia da cidade de São Paulo. Num mundo em que se pensa quanto mais rápidas e sensoriais serão as tecnologias de informação no futuro, o bom e velho bate-papo pode levar a conhecimentos importantes quando queremos nos comunicar com as camadas populares da população.

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Trata-se de uma pesquisa de mestrado que tem por objetivo discutir os processos de planejamento educacional e de formação continuada do professor de Ensino Médio, envolvendo aspectos do trabalho coletivo dos educadores/professores, o momento do registro, os saberes docentes e do coordenador pedagógico e a construção da autonomia docente. O trabalho visa responder às seguintes questões: por que é tão difícil que o trabalho de planejamento, a troca de experiência, o estudo conjunto aconteçam na escola, mesmo quando são destinadas horas remuneradas para esses fins? Por que as horas destinadas ao planejamento, à troca de experiências, à avaliação do trabalho pedagógico e à formação continuada não são bem aproveitadas na escola? Muitos governos estaduais e municipais e mesmo muitos mantenedores de instituições privadas, geralmente "enfiam goela abaixo" dos educadores os seus projetos, não solicitando dos mesmos a contribuição, e o que é mais importante, o envolvimento no processo de elaboração. Os professores, ao resistirem aos processos de planejamento, estão reagindo a essa forma autoritária de desencadear políticas? Se não, que razões levam o professor a rejeitar mudanças em sua prática? Quais questionamentos fazem os professores em torno do planejamento/plano? A dissertação tem como objetivo geral analisar as respostas apresentadas da sondagem exploratória realizada no início da pesquisa, com quatro professores de uma mesma escola de Ensino Médio da rede particular, e relacioná-las aos estudos bibliográficos apresentados a partir de diversos autores estudiosos no assunto. Pretende, ainda, enfocar o "como" os professores poderiam utilizar melhor o processo do trabalho coletivo para um movimento reflexivo do ato de educar; o "quanto" as horas previstas e remuneradas poderiam contribuir para as discussões sobre o processo ensino-aprendizagem-avaliação. Como procedimento metodológico, além da entrevista inicial, foi realizado um estudo bibliográfico sobre a importância da palavra a partir dos estudos de Freud e, em seguida, da abordagem multirrefrencial por permitir um olhar plural e mais humano sobre os processos educacionais. Foram apresentados estudos sobre os conceitos atribuídos às políticas de planejamento curricular: o planejamento e o plano de ensino - práticas construídas no cotidiano. Como resultados, mesmo que provisórios, apontamos para: o trabalho coletivo no espaço organizado e garantido pelos gestores da escola; a valorização da memória e autoria docente, para a reflexão de práticas, a visibilidade do trabalho e o resultado pedagógico. O trabalho ainda considera a importância da formação contínua, planejada em momentos remunerados e garantidos pela instituição, a importância da construção dos saberes, docentes e do coordenador pedagógico e a historicidade das práticas de registro dos planos como aspectos inerentes a um projeto pedagógico e que devem ser reconhecidos, valorizados e estimulados pelas políticas institucionais.(AU)

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Este trabalho traz como tema central às práticas de capelães e psicólogos hospitalares junto às pessoas em situação de perda por morte. Os objetivos desse trabalho foi compreender os processos de acolhimento, cuidado e aconselhamento que são realizados por psicólogos e capelães nas situações de luto; e investigar as semelhanças e diferenças nas práticas de acolhimento, cuidado e aconselhamento entre esses profissionais nas situações de luto por morte. Foram sujeitos desta pesquisa 1 Capelã protestante, 1 Capelão Padre Camiliano, e 2 Psicólogas, que trabalhavam com acolhimento, cuidado, aconselhamento pastoral e psicológico em hospitais. O método de investigação qualitativo utilizado nesta pesquisa foi a Grounded Teory , que categoriza dados e cuja interpretação é realizada considerando todo o conteúdo verbal, respeitando-se cada palavra dada pelo sujeito. A Capelã foi entrevistada em sua sala de atendimento na universidade onde trabalha e os demais sujeitos foram entrevistados nas próprias dependências dos hospitais, ocasião em que solicitamos que falassem sobre suas práticas de trabalho no contexto hospitalar. Pelos resultados obtidos foi possível verificar que existe ainda hoje uma dificuldade para lidar com o termo morte e para definir o conceito de morte, tanto no âmbito religioso, como no psicológico. Existe uma cultura muito forte, que cerca as relações humanas e que dificulta a nossa compreensão e que nos impede de mencionar a palavra morte. Foi possível identificar divergências na prática diária tanto dos capelães, quanto das psicólogas, em relação aos seus Métodos e Técnicas, pois eles se confundem na hora do acolhimento, do aconselhamento, do apoio dado às pessoas que estão passando pela perda por morte. Tanto os capelães, como as psicólogas disseram que a espiritualidade é um recurso utilizado para o enfrentamento dessa perda por morte e as sugestões e sentimentos dos entrevistados em relação as suas práticas foram que os profissionais necessitam de um espaço de expressão, para o desenvolvimento de um trabalho integrado, para um suporte aos cuidadores, para a necessidade de se desmistificar o trabalho do capelão e da necessidade do trabalho das psicólogas se estender aos funcionários do hospital. Concluímos que através da pesquisa realizada apresenta-se confusão nos papéis ou funções entre Capelão e Psicólogo. Esta confusão coloca em dúvida a própria profissão, atuação ou técnicas de intervenção. Isto sugere que há necessidade, na formação destes profissionais, de esclarecimentos ou conhecimentos sobre sua atuação diante da perda por morte

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Objectives Ecstasy is a recreational drug whose active ingredient, 3,4-methylenedioxymethamphetamine (MDMA), acts predominantly on the serotonergic system. Although MDMA is known to be neurotoxic in animals, the long-term effects of recreational Ecstasy use in humans remain controversial but one commonly reported consequence is mild cognitive impairment particularly affecting verbal episodic memory. Although event-related potentials (ERPs) have made significant contributions to our understanding of human memory processes, until now they have not been applied to study the long-term effects of Ecstasy. The aim of this study was to examine the effects of past Ecstasy use on recognition memory for both verbal and non-verbal stimuli using ERPs. Methods We compared the ERPs of 15 Ecstasy/polydrug users with those of 14 cannabis users and 13 non-illicit drug users as controls. Results Despite equivalent memory performance, Ecstasy/polydrug users showed an attenuated late positivity over left parietal scalp sites, a component associated with the specific memory process of recollection. Conlusions This effect was only found in the word recognition task which is consistent with evidence that left hemisphere cognitive functions are disproportionately affected by Ecstasy, probably because the serotonergic system is laterally asymmetrical. Experimentally, decreasing central serotonergic activity through acute tryptophan depletion also selectively impairs recollection, and this too suggests the importance of the serotonergic system. Overall, our results suggest that Ecstasy users, who also use a wide range of other drugs, show a durable abnormality in a specific ERP component thought to be associated with recollection.

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Single word production requires that phoneme activation is maintained while articulatory conversion is taking place. Word serial recall, connected speech and non-word production (repetition and spelling) are all assumed to involve a phonological output buffer. A crucial question is whether the same memory resources are also involved in single word production. We investigate this question by assessing length and positional effects in the single word repetition and reading of six aphasic patients. We expect a damaged buffer to result in error rates per phoneme which increase with word length and in position effects. Although our patients had trouble with phoneme activation (they made mainly errors of phoneme selection), they did not show the effects expected from a buffer impairment. These results show that phoneme activation cannot be automatically equated with a buffer. We hypothesize that the phonemes of existing words are kept active though permanent links to the word node. Thus, the sustained activation needed for their articulation will come from the lexicon and will have different characteristics from the activation needed for the short-term retention of an unbound set of units. We conclude that there is no need and no evidence for a phonological buffer in single word production.

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Sentiment analysis concerns about automatically identifying sentiment or opinion expressed in a given piece of text. Most prior work either use prior lexical knowledge defined as sentiment polarity of words or view the task as a text classification problem and rely on labeled corpora to train a sentiment classifier. While lexicon-based approaches do not adapt well to different domains, corpus-based approaches require expensive manual annotation effort. In this paper, we propose a novel framework where an initial classifier is learned by incorporating prior information extracted from an existing sentiment lexicon with preferences on expectations of sentiment labels of those lexicon words being expressed using generalized expectation criteria. Documents classified with high confidence are then used as pseudo-labeled examples for automatical domain-specific feature acquisition. The word-class distributions of such self-learned features are estimated from the pseudo-labeled examples and are used to train another classifier by constraining the model's predictions on unlabeled instances. Experiments on both the movie-review data and the multi-domain sentiment dataset show that our approach attains comparable or better performance than existing weakly-supervised sentiment classification methods despite using no labeled documents.

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We propose a novel framework where an initial classifier is learned by incorporating prior information extracted from an existing sentiment lexicon. Preferences on expectations of sentiment labels of those lexicon words are expressed using generalized expectation criteria. Documents classified with high confidence are then used as pseudo-labeled examples for automatical domain-specific feature acquisition. The word-class distributions of such self-learned features are estimated from the pseudo-labeled examples and are used to train another classifier by constraining the model's predictions on unlabeled instances. Experiments on both the movie review data and the multi-domain sentiment dataset show that our approach attains comparable or better performance than exiting weakly-supervised sentiment classification methods despite using no labeled documents.

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The concept of plagiarism is not uncommonly associated with the concept of intellectual property, both for historical and legal reasons: the approach to the ownership of ‘moral’, nonmaterial goods has evolved to the right to individual property, and consequently a need was raised to establish a legal framework to cope with the infringement of those rights. The solution to plagiarism therefore falls most often under two categories: ethical and legal. On the ethical side, education and intercultural studies have addressed plagiarism critically, not only as a means to improve academic ethics policies (PlagiarismAdvice.org, 2008), but mainly to demonstrate that if anything the concept of plagiarism is far from being universal (Howard & Robillard, 2008). Even if differently, Howard (1995) and Scollon (1994, 1995) argued, and Angèlil-Carter (2000) and Pecorari (2008) later emphasised that the concept of plagiarism cannot be studied on the grounds that one definition is clearly understandable by everyone. Scollon (1994, 1995), for example, claimed that authorship attribution is particularly a problem in non-native writing in English, and so did Pecorari (2008) in her comprehensive analysis of academic plagiarism. If among higher education students plagiarism is often a problem of literacy, with prior, conflicting social discourses that may interfere with academic discourse, as Angèlil-Carter (2000) demonstrates, we then have to aver that a distinction should be made between intentional and inadvertent plagiarism: plagiarism should be prosecuted when intentional, but if it is part of the learning process and results from the plagiarist’s unfamiliarity with the text or topic it should be considered ‘positive plagiarism’ (Howard, 1995: 796) and hence not an offense. Determining the intention behind the instances of plagiarism therefore determines the nature of the disciplinary action adopted. Unfortunately, in order to demonstrate the intention to deceive and charge students with accusations of plagiarism, teachers necessarily have to position themselves as ‘plagiarism police’, although it has been argued otherwise (Robillard, 2008). Practice demonstrates that in their daily activities teachers will find themselves being required a command of investigative skills and tools that they most often lack. We thus claim that the ‘intention to deceive’ cannot inevitably be dissociated from plagiarism as a legal issue, even if Garner (2009) asserts that generally plagiarism is immoral but not illegal, and Goldstein (2003) makes the same severance. However, these claims, and the claim that only cases of copyright infringement tend to go to court, have recently been challenged, mainly by forensic linguists, who have been actively involved in cases of plagiarism. Turell (2008), for instance, demonstrated that plagiarism is often connoted with an illegal appropriation of ideas. Previously, she (Turell, 2004) had demonstrated by comparison of four translations of Shakespeare’s Julius Caesar to Spanish that the use of linguistic evidence is able to demonstrate instances of plagiarism. This challenge is also reinforced by practice in international organisations, such as the IEEE, to whom plagiarism potentially has ‘severe ethical and legal consequences’ (IEEE, 2006: 57). What plagiarism definitions used by publishers and organisations have in common – and which the academia usually lacks – is their focus on the legal nature. We speculate that this is due to the relation they intentionally establish with copyright laws, whereas in education the focus tends to shift from the legal to the ethical aspects. However, the number of plagiarism cases taken to court is very small, and jurisprudence is still being developed on the topic. In countries within the Civil Law tradition, Turell (2008) claims, (forensic) linguists are seldom called upon as expert witnesses in cases of plagiarism, either because plagiarists are rarely taken to court or because there is little tradition of accepting linguistic evidence. In spite of the investigative and evidential potential of forensic linguistics to demonstrate the plagiarist’s intention or otherwise, this potential is restricted by the ability to identify a text as being suspect of plagiarism. In an era with such a massive textual production, ‘policing’ plagiarism thus becomes an extraordinarily difficult task without the assistance of plagiarism detection systems. Although plagiarism detection has attracted the attention of computer engineers and software developers for years, a lot of research is still needed. Given the investigative nature of academic plagiarism, plagiarism detection has of necessity to consider not only concepts of education and computational linguistics, but also forensic linguistics. Especially, if intended to counter claims of being a ‘simplistic response’ (Robillard & Howard, 2008). In this paper, we use a corpus of essays written by university students who were accused of plagiarism, to demonstrate that a forensic linguistic analysis of improper paraphrasing in suspect texts has the potential to identify and provide evidence of intention. A linguistic analysis of the corpus texts shows that the plagiarist acts on the paradigmatic axis to replace relevant lexical items with a related word from the same semantic field, i.e. a synonym, a subordinate, a superordinate, etc. In other words, relevant lexical items were replaced with related, but not identical, ones. Additionally, the analysis demonstrates that the word order is often changed intentionally to disguise the borrowing. On the other hand, the linguistic analysis of linking and explanatory verbs (i.e. referencing verbs) and prepositions shows that these have the potential to discriminate instances of ‘patchwriting’ and instances of plagiarism. This research demonstrates that the referencing verbs are borrowed from the original in an attempt to construct the new text cohesively when the plagiarism is inadvertent, and that the plagiarist has made an effort to prevent the reader from identifying the text as plagiarism, when it is intentional. In some of these cases, the referencing elements prove being able to identify direct quotations and thus ‘betray’ and denounce plagiarism. Finally, we demonstrate that a forensic linguistic analysis of these verbs is critical to allow detection software to identify them as proper paraphrasing and not – mistakenly and simplistically – as plagiarism.

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Current models of word production assume that words are stored as linear sequences of phonemes which are structured into syllables only at the moment of production. This is because syllable structure is always recoverable from the sequence of phonemes. In contrast, we present theoretical and empirical evidence that syllable structure is lexically represented. Storing syllable structure would have the advantage of making representations more stable and resistant to damage. On the other hand, re-syllabifications affect only a minimal part of phonological representations and occur only in some languages and depending on speech register. Evidence for these claims comes from analyses of aphasic errors which not only respect phonotactic constraints, but also avoid transformations which move the syllabic structure of the word further away from the original structure, even when equating for segmental complexity. This is true across tasks, types of errors, and, crucially, types of patients. The same syllabic effects are shown by apraxic patients and by phonological patients who have more central difficulties in retrieving phonological representations. If syllable structure was only computed after phoneme retrieval, it would have no way to influence the errors of phonological patients. Our results have implications for psycholinguistic and computational models of language as well as for clinical and educational practices.

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All aspects of the concept of collocation – the phenomenon whereby words naturally tend to occur in the company of a restricted set of other words – are covered in this book. It deals in detail with the history of the word collocation, the concepts associated with it and its use in a linguistic context. The authors show the practical means by which the collocational behaviour of words can be explored using illustrative computer programs and examine applications in teaching, lexicography and natural language processing that use collocation in formation. The book investigates the place that collocation occupies in theories of language and provides a thoroughly comprehensive and up-to-date survey of the current position of collocation in language studies and applied linguistics. This text presents a comprehensive description of collocation, covering both the theoretical and practical background and the implications and applications of the concept as language model and analytical tool. It provides a definitive survey of currently available techniques and a detailed description of their implementation.

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Social media data are produced continuously by a large and uncontrolled number of users. The dynamic nature of such data requires the sentiment and topic analysis model to be also dynamically updated, capturing the most recent language use of sentiments and topics in text. We propose a dynamic Joint Sentiment-Topic model (dJST) which allows the detection and tracking of views of current and recurrent interests and shifts in topic and sentiment. Both topic and sentiment dynamics are captured by assuming that the current sentiment-topic-specific word distributions are generated according to the word distributions at previous epochs. We study three different ways of accounting for such dependency information: (1) Sliding window where the current sentiment-topic word distributions are dependent on the previous sentiment-topic-specific word distributions in the last S epochs; (2) skip model where history sentiment topic word distributions are considered by skipping some epochs in between; and (3) multiscale model where previous long- and shorttimescale distributions are taken into consideration. We derive efficient online inference procedures to sequentially update the model with newly arrived data and show the effectiveness of our proposed model on the Mozilla add-on reviews crawled between 2007 and 2011. © 2013 ACM 2157-6904/2013/12-ART5 $ 15.00.

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The National Institute for Statistics is the organism responsible for acquiring economical data for governmental statistics purposes. Lisbon agreements establish a framework in which this acquisition process shall be available through Internet, so each survey should be considered as a little software project to be developed and maintained. Considering the great amount of different surveys and all changes produced per year on each make impossible this task. An application generator has been developed to automate this task, taking as a start point the Word or PDF template of a survey, and going through a graphical form designer as all human effort, all HTML, Java classes and Oracle database resources are generated and sent from backoffice to frontoffice servers, reducing the team to carry out the whole set of electronic surveys to two people from non I.T. staff.

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In recent years, learning word vector representations has attracted much interest in Natural Language Processing. Word representations or embeddings learned using unsupervised methods help addressing the problem of traditional bag-of-word approaches which fail to capture contextual semantics. In this paper we go beyond the vector representations at the word level and propose a novel framework that learns higher-level feature representations of n-grams, phrases and sentences using a deep neural network built from stacked Convolutional Restricted Boltzmann Machines (CRBMs). These representations have been shown to map syntactically and semantically related n-grams to closeby locations in the hidden feature space. We have experimented to additionally incorporate these higher-level features into supervised classifier training for two sentiment analysis tasks: subjectivity classification and sentiment classification. Our results have demonstrated the success of our proposed framework with 4% improvement in accuracy observed for subjectivity classification and improved the results achieved for sentiment classification over models trained without our higher level features.

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Motivation: In molecular biology, molecular events describe observable alterations of biomolecules, such as binding of proteins or RNA production. These events might be responsible for drug reactions or development of certain diseases. As such, biomedical event extraction, the process of automatically detecting description of molecular interactions in research articles, attracted substantial research interest recently. Event trigger identification, detecting the words describing the event types, is a crucial and prerequisite step in the pipeline process of biomedical event extraction. Taking the event types as classes, event trigger identification can be viewed as a classification task. For each word in a sentence, a trained classifier predicts whether the word corresponds to an event type and which event type based on the context features. Therefore, a well-designed feature set with a good level of discrimination and generalization is crucial for the performance of event trigger identification. Results: In this article, we propose a novel framework for event trigger identification. In particular, we learn biomedical domain knowledge from a large text corpus built from Medline and embed it into word features using neural language modeling. The embedded features are then combined with the syntactic and semantic context features using the multiple kernel learning method. The combined feature set is used for training the event trigger classifier. Experimental results on the golden standard corpus show that >2.5% improvement on F-score is achieved by the proposed framework when compared with the state-of-the-art approach, demonstrating the effectiveness of the proposed framework. © 2014 The Author 2014. The source code for the proposed framework is freely available and can be downloaded at http://cse.seu.edu.cn/people/zhoudeyu/ETI_Sourcecode.zip.