945 resultados para Language Resources
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This research, part of Applied Linguistics field, aims to analyze the language of a school blog, developed with the participation of students, as a work based on the conception of multiliteracies, focusing on the construction of different meanings. The research is carried on from the building and maintenance of a school blog, the Ieceblog, with students of Ensino Fundamental II, since 2008, in a private school in Natal-RN. The investigation of the language produced on a school blog is justified due to the interactive conceptions of writing and reading on the virtual environment. Given the fact that new technologies are a reality in the schools opened to the practices of multiliteracies, it is assumed that text, image, video, audio, non-graphic signs and hypertext intensifies the produced interaction, in which the students become real authors. In this perspective, some voices belonging to the statements that are formed through the posts and comments chosen to the analyses and reflection on the blog space as locus of productions of senses inserted in the school and the world environment, as well as for the identification of the language resources used to intensify the senses that emerge from it. From the view of dialogism conceptualized by Bakhtin Circle, the qualitative interpretive-research deepens the experience of a school blog focusing on digital language in line with the vision of digital literacy. From the blog posts, a corpus that promote the exposure of different manifestations of language in the design of digital multiliteracies is elected. Thereby, the method used was the dialogical analysis of speech based on Bakhtin s studies and the Circle. The corpus was taken from the blog s posts in order to point up the different language manifestations in the following categories: (i) mood reinforced by the mockery, (ii) search for compliance with school sphere, (iii) conflicting social values and consistent complicity between sense and verbal imagery, and finally (iv) social practices that take place from and through the discursive genre. The study points to the tension between the active voices in several directions, revealing the distorted unit of posts which, under the analytical observation raises multiple meanings in a responsive manner. The analysis of the dialogue interaction in which intersperses the digital one becomes more apparent that the multiliteracies events that are mediated by language in addition to structure of the language and makes us rethink the students
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Educação Matemática - IGCE
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Princeton WordNet (WN.Pr) lexical database has motivated efficient compilations of bulky relational lexicons since its inception in the 1980's. The EuroWordNet project, the first multilingual initiative built upon WN.Pr, opened up ways of building individual wordnets, and interrelating them by means of the so-called Inter-Lingual-Index, an unstructured list of the WN.Pr synsets. Other important initiative, relying on a slightly different method of building multilingual wordnets, is the MultiWordNet project, where the key strategy is building language specific wordnets keeping as much as possible of the semantic relations available in the WN.Pr. This paper, in particular, stresses that the additional advantage of using WN.Pr lexical database as a resource for building wordnets for other languages is to explore possibilities of implementing an automatic procedure to map the WN.Pr conceptual relations as hyponymy, co-hyponymy, troponymy, meronymy, cause, and entailment onto the lexical database of the wordnet under construction, a viable possibility, for those are language-independent relations that hold between lexicalized concepts, not between lexical units. Accordingly, combining methods from both initiatives, this paper presents the ongoing implementation of the WN.Br lexical database and the aforementioned automation procedure illustrated with a sample of the automatic encoding of the hyponymy and co-hyponymy relations.
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From the questions raised by Bakhtin Circle, especially those intended to gender and dialogue, this work aims to study the relationships of meaning that are established between the statements present in commercial advertising discourse. For each sphere of production, circulation and reception of discourses, genres are appropriate, therefore, all discourse requires a different choice of language resources, which determines, among other things, the style of the message. The advertising genre, a genre characterized as complex, as it works, reframes and incorporates primary genres, has the central objective of building the next one idea being to buy something more frequent. This process occurs mainly through the use of persuasive speeches, compelling, authoritative, imperative and seduction. Our goal is to analyze an advertising piece, discussing how the resources used in advertising participate in the process of enunciation and persuasion and the manner in which the voices of others (previous authors, recipients hypothetical ) mingle with the voice of the subject's explicit enunciation. (Bakhtin, 2010, p. XXVII). Thus, based on Bakhtinian studies, we will think about the relation of the dialogical voices raised in question in advertising, and attend to the role of the other, with his active responsive understanding, how to be active and modifying agent
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Despite the theoretical advances that have discredited the notion of “faithfulness” regarding the adaptation as an intermediatic phenomenon, it still insists on coming up. Capitu, a mini-series shown by the Rede Globo network has been regarded as “unfaithful” to the novel Dom Casmurro. It is a perfect example for this article of the perception of the audiovisual language resources that work as valid analogies to Machado de Assis’ novel, indicating the misconception that underlies the notion of “faithfulness”.
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Pós-graduação em Letras - FCLAR
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This paper describes methods and results for the annotation of two discourse-level phenomena, connectives and pronouns, over a multilingual parallel corpus. Excerpts from Europarl in English and French have been annotated with disambiguation information for connectives and pronouns, for about 3600 tokens. This data is then used in several ways: for cross-linguistic studies, for training automatic disambiguation software, and ultimately for training and testing discourse-aware statistical machine translation systems. The paper presents the annotation procedures and their results in detail, and overviews the first systems trained on the annotated resources and their use for machine translation.
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In this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions of a short film and verbal intelligence scores of the speakers. For analyzing the monologues and the film transcript, the number of reused words, lemmas, n-grams, cosine similarity and other features were calculated and compared to each other for different verbal intelligence groups. The results showed that the similarity of monologues of higher verbal intelligence speakers was greater than of lower and average verbal intelligence participants. A possible explanation of this phenomenon is that candidates yielding higher verbal intelligence have a better short-term memory. In this paper we also checked a hypothesis that differences in vocabulary of speakers yielding different verbal intelligence are sufficient enough for good classification results. For proving this hypothesis, the Nearest Neighbor classifier was trained using TF-IDF vocabulary measures. The maximum achieved accuracy was 92.86%.
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In this work we investigated whether there is a relationship between dominant behaviour of dialogue participants and their verbal intelligence. The analysis is based on a corpus containing 56 dialogues and verbal intelligence scores of the test persons. All the dialogues were divided into three groups: H-H is a group of dialogues between higher verbal intelligence participants, L-L is a group of dialogues between lower verbal intelligence participant and L-H is a group of all the other dialogues. The dominance scores of the dialogue partners from each group were analysed. The analysis showed that differences between dominance scores and verbal intelligence coefficients for L-L were positively correlated. Verbal intelligence scores of the test persons were compared to other features that may reflect dominant behaviour. The analysis showed that number of interruptions, long utterances, times grabbed the floor, influence diffusion model, number of agreements and several acoustic features may be related to verbal intelligence. These features were used for the automatic classification of the dialogue partners into two groups (lower and higher verbal intelligence participants); the achieved accuracy was 89.36%.
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The creation of language resources is a time-consuming process requiring the efforts of many people. The use of resources collaboratively created by non-linguists can potentially ameliorate this situation. However, such resources often contain more errors compared to resources created by experts. For the particular case of lexica, we analyse the case of Wiktionary, a resource created along wiki principles and argue that through the use of a principled lexicon model, namely lemon, the resulting data could be better understandable to machines. We then present a platform called lemon source that supports the creation of linked lexical data along the lemon model. This tool builds on the concept of a semantic wiki to enable collaborative editing of the resources by many users concurrently. In this paper, we describe the model, the tool and present an evaluation of its usability based on a small group of users.
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In this paper we describe the specification of amodel for the semantically interoperable representation of language resources for sentiment analysis. The model integrates "lemon", an RDF-based model for the specification of ontology-lexica (Buitelaar et al. 2009), which is used increasinglyfor the representation of language resources asLinked Data, with Marl, an RDF-based model for the representation of sentiment annotations (West-erski et al., 2011; Sánchez-Rada et al., 2013)
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Sentiment and Emotion Analysis strongly depend on quality language resources, especially sentiment dictionaries. These resources are usually scattered, heterogeneous and limited to specific domains of appli- cation by simple algorithms. The EUROSENTIMENT project addresses these issues by 1) developing a common language resource representation model for sentiment analysis, and APIs for sentiment analysis services based on established Linked Data formats (lemon, Marl, NIF and ONYX) 2) by creating a Language Resource Pool (a.k.a. LRP) that makes avail- able to the community existing scattered language resources and services for sentiment analysis in an interoperable way. In this paper we describe the available language resources and services in the LRP and some sam- ple applications that can be developed on top of the EUROSENTIMENT LRP.
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Historicamente, ao serem criadas, novas mídias se apropriam de recursos de linguagens de outras mídias pré-existentes. Na medida em que as tecnologias da mídia se desenvolvem o mesmo ocorre com as linguagens, de forma a adaptarem-se, simultaneamente, ao meio e mensagens; modos de produção; e condições ideais de interação com os usuários. As mídias digitais, por sua natureza, dispõem de interfaces performáticas imagens-pensantes que permitem mais que a simples representação estética de conteúdos. Neste contexto, se insere a problemática desta pesquisa: Quais teorias transdisciplinares podem contribuir para a compreensão dos complexos processos comunicacionais que envolvem o relacionamento entre seres humanos e mídias digitais com propósito de aprendizagem? O objetivo desta pesquisa foi o de estender o modelo desenvolvido por Stephen Littlejohn e incluir novos conceitos e generalizações, provenientes de outros ramos da ciência com diferentes 'visões de mundo', visando ampliar a proposta de Littlejohn para um Modelo Transdisciplinar para Comunicação com Mídias Digitais, que, em nossa perspectiva, contribui para explicar os fenômenos pertinentes à relação de humanos com mídias digitais, principalmente em processos de aprendizagem de ciências. A pesquisa foi feita com métodos de pesquisa Bibliográfica e Descritiva.(AU)