18 research outputs found
1812-2012 : Viger, Harper et la République des Maringouins
No full textLa guerre de 1812 entre le Canada et les États-Unis sera commémorée en 2012-2014 par le gouvernement de Stephen Harper. On étudie ici le discours officiel de cette commémoration dans les sites Internet lancés en 2011 à Ottawa. Sous les justifications historiques avancées par le Premier ministre et son ministre du Patrimoine canadien, peuvent se lire des motivations politiques et une idéologie dont on tente ici de cerner les enjeux. L’angle adopté par cette étude est la représentation des Bas-Canadiens de 1812 en 2012, comparée aux témoignages des acteurs de l’époque. Le point de vue de ceux-ci apparaît crypté dans un récit fantaisiste sur « La République des Maringoins », au coeur de la correspondance entre son auteur, Jacques Viger et ses amis Joseph Mermet et William Berczy. Tous trois étaient alors engagés dans les Voltigeurs canadiens, sous les ordres de Charles Michel d’Irumberry de Salaberry, héros de la bataille de Chateauguay.In 2012-2014, the Harper government will commemorate the war of 1812 between Canada and the United Sates. This study examines the official discourse surrounding this commemoration found in the web sites launched in 2011 by Ottawa. Beneath the historical justifications put forward by the Prime Minister and his Heritage Minister lie political motivations and an ideology that are subject to analysis here. The depiction of the inhabitants of Lower Canada in comparison to that of contemporary actors constitutes the approach adopted for this study. The point of view of the latter appears encoded in the storyline of the “Mosquito Republic” which lies at the centre of the correspondence between its author, Jacques Viger, and his friends Joseph Mermet and William Berczy. All three fought for the Canadian Voltigeurs under Charles Michel d’Irumberry de Salaberry’s command, hero of the Battle of Chateauguay
Modern Poets of the Southern Bassarabia
No full textSouthern Bassarabiais is inseparable historically from the active creative
development. Being in the shadow of major cultural centers, the region is not completely separated.
However, it has a certain isolation that allowed to develop the authenticity of the artistic style in the
works of poets of the southern Bassarabia. Representatives of the literary process develop eternal
themes of house, native land, earth, nature, love. At the same time, they open up new horizons of
poetry, use modern technical means to promote their works, put actual topical issues and use nonstandard
means of artistic expression. The author argues that modern poets of Southern Bassarabia are
in a single cultural field with the poets of the Euroregion “Lower Danube”
Intertwined Southen Bessarabian and European Vectors of Poetry Natalia Khmeleva on the Material of the Poem “Where the Body Comes to an end”
No full textPoetry Natalia Khmeleva - a complex and multi-structural phenomenon. Even one of her
poems - material for research. An analysis of the text, “Where does the body” reveals the combination
of complex issues and techniques characteristic of European poetry from the Bessarabian energy,
emotion and kindness. Thus, her work - take the harmonic ability to take someone else and save
herself
Intertwined Southen Bessarabian and European vectors of poetry Natalia Khmeleva on the material of the poem "Where the body comes to an end"
No full textPoetry Natalia Khmeleva - a complex and multi-structural phenomenon. Even one of her poems - material for research. An analysis of the text, "Where does the body" reveals the combination of complex issues and techniques characteristic of European poetry from the Bessarabian energy, emotion and kindness. Thus, her work - take the harmonic ability to take someone else and save herself
Agreement between William Jule & Alexander McInosh and the Commissioners of Roads for the construction and livelling of St. Denis St., from Viger Street to the Côte à Barron.
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Comparison of Explicit and Implicit Keywords to Characterize Geographic Information System Procedures
No full textThe author designs and implements an approach that exploits semantically important information that is not ordinarily included in traditional information retrieval approaches to improve the handling of Geographic Information System (GIS) procedural software. In this approach, what are termed here implicit keywords, descriptors designed to recognize characteristics not explicitly recorded within the GIS procedure source code, are created and used in an automated, inductive process to organize a large set of GIS procedures to reveal meaningful groupings. The process uses the Self-Organizing Maps (SOM), a specialized artificial neural network, to create a two-dimensional representation of an input data set wherein topological properties of the input data set are preserved. Such maps are important tools for helping visualize, browse, filter, and evaluate a set of GIS procedures . Browsing, filtering, and evaluation help to improve human understanding of available GIS resources. By facilitating mechanisms for improved software sharing and exchange, the methods described here may guide future researchers in the selection of more appropriate procedures for a given task. Through experiments of this dissertation, the author demonstrates that while using GIS commands as explicit keywords can produce helpful organizations of GIS procedures, development of implicit keywords can be used to moderate, improve, and specialize the results of the explicit keyword process. The results of the different experiments not only show the impacts of applying different keyword schemes, but bear witness to the fact that GIS functionality can be organized with consistent methodological rigor in potentially very different ways to reprioritize specific types of functionality
Comparison of Explicit and Implicit Keywords to Characterize Geographic Information System Procedures
No full textThe author designs and implements an approach that exploits semantically important information that is not ordinarily included in traditional information retrieval approaches to improve the handling of Geographic Information System (GIS) procedural software. In this approach, what are termed here implicit keywords, descriptors designed to recognize characteristics not explicitly recorded within the GIS procedure source code, are created and used in an automated, inductive process to organize a large set of GIS procedures to reveal meaningful groupings. The process uses the Self-Organizing Maps (SOM), a specialized artificial neural network, to create a two-dimensional representation of an input data set wherein topological properties of the input data set are preserved. Such maps are important tools for helping visualize, browse, filter, and evaluate a set of GIS procedures . Browsing, filtering, and evaluation help to improve human understanding of available GIS resources. By facilitating mechanisms for improved software sharing and exchange, the methods described here may guide future researchers in the selection of more appropriate procedures for a given task. Through experiments of this dissertation, the author demonstrates that while using GIS commands as explicit keywords can produce helpful organizations of GIS procedures, development of implicit keywords can be used to moderate, improve, and specialize the results of the explicit keyword process. The results of the different experiments not only show the impacts of applying different keyword schemes, but bear witness to the fact that GIS functionality can be organized with consistent methodological rigor in potentially very different ways to reprioritize specific types of functionality
Using Frequent Fixed or Variable-Length POS Ngrams or Skip-Grams for Blog Authorship Attribution
No full textPart 2: Classification – Pattern Recognition (CLASPR)International audienceAuthorship attribution is the process of identifying the author of an unknown text from a finite set of known candidates. In recent years, it has become increasingly relevant in social networks, blogs, emails and forums where anonymous posts, bullying, and even threats are sometimes perpetrated. State-of-the-art systems for authorship attribution often combine a wide range of features to achieve high accuracy. Although many features have been proposed, it remains an important challenge to find new features and methods that can characterize each author and that can be used on non formal or short writings like blog content or emails. In this paper, we present a novel method for authorship attribution using frequent fixed or variable-length part-of-speech patterns (ngrams or skip-grams) as features to represent each author’s style. This method allows the system to automatically choose its most appropriate features as those sequences being used most frequently. An experimental evaluation on a collection of blog posts shows that the proposed approach is effective at discriminating between blog authors
A Knowledge Discovery Framework for Mining Task Models from User Interactions in Intelligent Tutoring Systems
No full textInternational audienc
