Entrevistas de emprego em inglês: uma análise multidimensional

• Autor(a) principal: Diegues, Ulysses Camargo Corrêa
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://tede2.pucsp.br/handle/handle/21442
• topic: Entrevistas (Seleção de pessoal); Língua inglesa - Conversação e frases; Linguística de corpus; Employment interviewing; English language - Conversation and phrase books; Corpora (Linguistics); CNPQ::LINGUISTICA, LETRAS E ARTES::LINGUISTICA

In a scenario which more and more the process of selecting candidates for job becomes more demanding (JOSEPH, 2013), the study of job interviews in English is of great importance. However, it has been receiving little attention in language studies. The purpose of this research is to compare the English job interview register with the other English language registers along the five dimensions of variation identified by Biber (1988 et seq.) through Multidimensional Analysis (MDA). To do so, this research is based on Corpus Linguistics (CL) that deals with the collection and exploitation of corpora with the purpose of helping to research a language or part of it. (BERBER SARDINHA, 2000; 2004). The corpus of this study was the Job Interview Corpus (JIC), composed of 40 real job interviews conducted in Germany with native speakers from Australia, Ireland, the United Kingdom and the United States, totaling approximately 50,000 words. In order to enable MDA, the study corpus, JIC, was grammatically tagged with the Biber Tagger and later processed by the Biber Tag Count, which calculated the frequency of 67 linguistic variables considered in this study. The MDA results showed how the English job interviews of the study corpus, JIC, resemble or differentiate from the other English language registers along the five dimensions of variation (BIBER, 1988 et seq.). Since there are no precedents of studies within the CL devoted to the investigation of English job interviews in a multidimensional analysis, this research intends to fill this gap in the academic field