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1. Wozniak, Séverine. Contribution à la caractérisation de l’anglais de l’alpinisme, par l’étude du domaine spécialisé des guides de haute montagne états-uniens : Contribution to the Characterization of Mountaineering English as Specialized Discourse. The Case of American Mountain Guides.

Degree: Docteur es, Études anglaises : langue de spécialité-Didactique de la langue, 2011, Université de Bordeaux Segalen

Cette thèse en anglais de spécialité s’inscrit dans le champ de l’étude des domaines spécialisés et de leurs discours en contexte anglophone. La recherche entreprise contribue à la caractérisation de l’anglais de l’alpinisme par l’étude du domaine spécialisé des guides de haute montagne états-uniens. Dans cet objectif, nous élaborons un modèle de caractérisation des domaines spécialisés et de leurs discours et nous le testons. La première partie présente notre cadre théorique et notre méthodologie de recherche. Elle s’ouvre par une réflexion épistémologique sur la posture du chercheur et sur son objet de recherche, avant de s’intéresser à l’approche du domaine spécialisé, puis au cadre méthodologique. La deuxième partie aborde la caractérisation du domaine spécialisé en contexte états-unien. Elle débute par une perspective historique sur l’alpinisme aux États-Unis. La communauté professionnelle des guides de haute montagne et les enjeux de leur pratique professionnelle font ensuite l’objet d’une analyse. La troisième partie propose une caractérisation des discours du domaine spécialisé de l’alpinisme. Nous identifions tout d’abord les outils mobilisables pour l’analyse des discours spécialisés, avant d’entreprendre une analyse terminologique de l’anglais de l’alpinisme et de tenter de dresser une typologie des genres du discours spécialisé écrit.

This dissertation focuses on English for Specific Purposes and, more particularly, on the study and characterization of specialized professional domains and their discourses in English-speaking countries. It is a contribution to the characterization of mountaineering English, via the study of the specialized domain of American mountain guides. To this end, a model for the characterization of specialized domains and their discourses was designed and tested. Part 1 presents the theoretical and methodological framework of this research. It begins with an epistemological reflection on the status of the researcher and his/her object, and then moves on to the description of the process by which specialized domains can be studied, based on a consideration on the methodological framework, and more particularly, on the nature and value of fieldwork. Part 2 focuses on the characterization of the specialized professional domain of mountain guiding and begins with a historical account of mountaineering in the US. It deals with the training and work of professional mountain guides and aims to identify and analyze the stakes for the profession today. Part 3 attempts to characterize the discourse of mountaineering and mountain guiding. Some features of this specialized discourse are discussed, from a terminological point of view, and finally, a typology of the different written genres of the specialized discourse is proposed.

Advisors/Committee Members: Resche, Catherine (thesis director).

Subjects/Keywords: Anglais de spécialité; Guide de haute montagne; Alpinisme; Parcs nationaux; Domaine spécialisé; Discours spécialisé; English for Specific Purposes; Mountain guiding; Mountaineering; National parks; Specialized domains; Specialized discourse

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wozniak, S. (2011). Contribution à la caractérisation de l’anglais de l’alpinisme, par l’étude du domaine spécialisé des guides de haute montagne états-uniens : Contribution to the Characterization of Mountaineering English as Specialized Discourse. The Case of American Mountain Guides. (Doctoral Dissertation). Université de Bordeaux Segalen. Retrieved from http://www.theses.fr/2011BOR21839

Chicago Manual of Style (16th Edition):

Wozniak, Séverine. “Contribution à la caractérisation de l’anglais de l’alpinisme, par l’étude du domaine spécialisé des guides de haute montagne états-uniens : Contribution to the Characterization of Mountaineering English as Specialized Discourse. The Case of American Mountain Guides.” 2011. Doctoral Dissertation, Université de Bordeaux Segalen. Accessed July 14, 2020. http://www.theses.fr/2011BOR21839.

MLA Handbook (7th Edition):

Wozniak, Séverine. “Contribution à la caractérisation de l’anglais de l’alpinisme, par l’étude du domaine spécialisé des guides de haute montagne états-uniens : Contribution to the Characterization of Mountaineering English as Specialized Discourse. The Case of American Mountain Guides.” 2011. Web. 14 Jul 2020.

Vancouver:

Wozniak S. Contribution à la caractérisation de l’anglais de l’alpinisme, par l’étude du domaine spécialisé des guides de haute montagne états-uniens : Contribution to the Characterization of Mountaineering English as Specialized Discourse. The Case of American Mountain Guides. [Internet] [Doctoral dissertation]. Université de Bordeaux Segalen; 2011. [cited 2020 Jul 14]. Available from: http://www.theses.fr/2011BOR21839.

Council of Science Editors:

Wozniak S. Contribution à la caractérisation de l’anglais de l’alpinisme, par l’étude du domaine spécialisé des guides de haute montagne états-uniens : Contribution to the Characterization of Mountaineering English as Specialized Discourse. The Case of American Mountain Guides. [Doctoral Dissertation]. Université de Bordeaux Segalen; 2011. Available from: http://www.theses.fr/2011BOR21839

2. Mooman, Abdelniser. Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval.

Degree: 2012, University of Waterloo

The amount of information on the World Wide Web (WWW) is rapidly growing in pace and topic diversity. This has made it increasingly difficult, and often frustrating, for information seekers to retrieve the content they are looking for as information retrieval systems (e.g., search engines) are unable to decipher the relevance of the retrieved information as it pertains to the information they are searching for. This issue can be decomposed into two aspects: 1) variability of information relevance as it pertains to an information seeker. In other words, different information seekers may enter the same search text, or keywords, but expect completely different results. It is therefore, imperative that information retrieval systems possess an ability to incorporate a model of the information seeker in order to estimate the relevance and context of use of information before presenting results. Of course, in this context, by a model we mean the capture of trends in the information seeker's search behaviour. This is what many researchers refer to as the personalized search. 2) Information diversity. Information available on the World Wide Web today spans multitudes of inherently overlapping topics, and it is difficult for any information retrieval system to decide effectively on the relevance of the information retrieved in response to an information seeker's query. For example, the information seeker who wishes to use WWW to learn about a cure for a certain illness would receive a more relevant answer if the search engine was optimized into such domains of topics. This is what is being referred to in the WWW nomenclature as a 'specialized search'. This thesis maintains that the information seeker's search is not intended to be completely random and therefore tends to portray itself as consistent patterns of behaviour. Nonetheless, this behaviour, despite being consistent, can be quite complex to capture. To accomplish this goal the thesis proposes a Multi-Agent Personalized Information Retrieval with Specialization Ontology (MAPIRSO). MAPIRSO offers a complete learning framework that is able to model the end user's search behaviour and interests and to organize information into categorized domains so as to ensure maximum relevance of its responses as they pertain to the end user queries. Specialization and personalization are accomplished using a group of collaborative agents. Each agent employs a Reinforcement Learning (RL) strategy to capture end user's behaviour and interests. Reinforcement learning allows the agents to evolve their knowledge of the end user behaviour and interests as they function to serve him or her. Furthermore, REL allows each agent to adapt to changes in an end user's behaviour and interests. Specialization is the process by which new information domains are created based on existing information topics, allowing new kinds of content to be built exclusively for information seekers. One of the key characteristics of specialization domains is the seeker centric - which allows intelligent agents…

Subjects/Keywords: Information retrieval; Multi-agent system; Specialized Agent; Reinforcement learning; search engines; specialized domains; personalization; IR system; user's feedback; NLP; WordNet; relevance information and feedback; Topic extractions; semantic web; ontology; clustering; data classifications; data mining

…69 3.3 3.4 x 4 Knowledge Domains: Topic Extraction for Specialized Domains. 70 4.1… …6.2.3 Domains Topics: Specialized Knowledge Base . . . . . . . . . . . . 111 6.2.4 6.3… …following order: • Build specialized knowledge base domains of users’ relevant interests and needs… …processing that requires human involvement in the building of specialized knowledge base domains… …specialized knowledge domains that accurately and efficiently satisfy user information needs. 6… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mooman, A. (2012). Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6991

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mooman, Abdelniser. “Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval.” 2012. Thesis, University of Waterloo. Accessed July 14, 2020. http://hdl.handle.net/10012/6991.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mooman, Abdelniser. “Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval.” 2012. Web. 14 Jul 2020.

Vancouver:

Mooman A. Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2020 Jul 14]. Available from: http://hdl.handle.net/10012/6991.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mooman A. Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6991

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.