LEADER 05575nam 2200685 450 001 9910786631303321 005 20230803203714.0 010 $a90-272-7015-5 035 $a(CKB)3710000000187291 035 $a(EBL)1741704 035 $a(SSID)ssj0001267742 035 $a(PQKBManifestationID)12574528 035 $a(PQKBTitleCode)TC0001267742 035 $a(PQKBWorkID)11273401 035 $a(PQKB)11625663 035 $a(MiAaPQ)EBC1741704 035 $a(Au-PeEL)EBL1741704 035 $a(CaPaEBR)ebr10894998 035 $a(CaONFJC)MIL627646 035 $a(OCoLC)884015559 035 $a(EXLCZ)993710000000187291 100 $a20140723h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMulti-dimensional analysis, 25 years on a tribute to Douglas Biber /$fedited by Tony Berber Sardinha and Marcia Veirano Pinto ; Francoise Berserik, cover design 210 1$aAmsterdam, Netherlands :$cJohn Benjamins Publishing Company,$d2014. 210 4$dİ2014 215 $a1 online resource (366 p.) 225 1 $aStudies in Corpus Linguistics,$x1388-0373 ;$vVolume 60 300 $aDescription based upon print version of record. 311 $a90-272-0368-7 320 $aIncludes bibliographical references and index. 327 $aMulti-Dimensional Analysis, 25 years on; Editorial page; Title page; LCC data; Dedication page; Table of contents; List of contributors; Preface; Acknowledgments; Introduction; References; Opening; Multi-Dimensional Analysis; References; Part 1.Multi-Dimensional analysis and synchronic analyses; A Multi-Dimensional analysis of regional variation in American English; 1. Introduction; 2. Corpus; 3. Variable selection; 4. Local spatial autocorrelation analysis; 5. Factor analysis; 5.1 Factor 1; 5.2 Factor 2; 5.3 Factor 3; 6. Discussion; References; Appendix 327 $aDimensions of register variation in Brazilian Portuguese 1. Introduction; 2. Methods; 3. Interpretation of the factors; 4. Discussion and conclusion; Acknowledgments; References; Appendix; 25 years later: Comparing Internet and pre-Internet registers; 1. Introduction; 2. Goals, methods, and research questions; 3. Adding the Internet registers to the pre-Internet register dimensions; 3.1 Dimension 1; 3.2 Dimension 2; 3.3 Dimension 3; 3.4 Dimension 4; 3.5 Dimension 5; 4. Comparing Internet and pre-Internet registers; 5. Conclusions; Acknowledgments; References; Appendix 327 $aPart 2.Multi-Dimensional analysis and diachronic analyses Dimensions of variation in North American movies; 1. Introduction; 2. Method and corpus; 2.1 The North American Movie Corpus (NAMC); 2.2 Situational variables; 2.3 MD analysis: An overview; 3. Findings; 3.1 Dimension 1: Focus on the expression of stance vs. focus on the expression of information; 3.2 Dimension 2: Spontaneous vs. non-spontaneous discourse; 3.3 Dimension 3: Focus on the expression arguments vs. focus on the reporting of events; 3.4 Dimension 4: Focus on attitudinal discourse 327 $a3.5 Dimension 5: Situational vs. interpersonal focus 3.6 Dimension 6: Focus on the expression of persuasion; 3.7 Dimension 7: Focus on the overt expression of characters' nature; 4. Conclusion; Acknowledgements; References; Appendix 1; Appendix 2; Dimension scores; Multi-Dimensional analysis of pop songs; 1. Introduction; 2. Goals and method; 3. Dimensions of variation in pop songs; 3.1 Lexico-grammatical dimensions; 3.1.1 Lexico-grammatical dimension 1: Persuasion; 3.1.2 Lexico-grammatical dimension 2: Interaction; 3.1.3 Lexico-grammatical dimension 3: Narrative concerns 327 $a3.2 Semantic dimensions 3.2.1 Semantic dimension 1: Personal action ; 3.2.2 Semantic dimension 2: Emotion and society ; 3.2.3 Semantic dimension 3: Musical reference; 4. Conclusion; Acknowledgments; References; Appendix 2; Dimensions of variation in TIME magazine; 1. Introduction; 2. Method; 3. Adding TIME to the 1988 dimensions; 4. TIME magazine's own dimensions; 5. Variation associated with external circumstances; 6. Text types; 7. Summary and conclusion; Acknowledgments; References; Part 3. Multi-Dimensional Analysisand language learning; A Multi-Dimensional analysis of essay writing 327 $a1. Introduction 330 $aThis research describes a case study from engineering education that explores the potential for integrating Multi-Dimensional (MD) analysis into mixed methods research so that MD analyses can address more specific educational problems. The study investigates a specific problem in civil engineering: the mismatch between students' writing skills and the demands of writing in the workplace. An MD analysis compares a small number of registers of student and practitioner writing, applying the dimensions of variation in English from Biber (1988). Data from interviews with students, faculty, and 410 0$aStudies in corpus linguistics ;$vVolume 60. 606 $aDiscourse analysis$xData processing 606 $aCorpora (Linguistics) 606 $aComputational linguistics 615 0$aDiscourse analysis$xData processing. 615 0$aCorpora (Linguistics) 615 0$aComputational linguistics. 676 $a401/.410285 702 $aSardinha$b Tony Berber 702 $aPinto$b Marcia Veirano 702 $aBerserik$b Francoise 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910786631303321 996 $aMulti-dimensional analysis, 25 years on$91384630 997 $aUNINA