Code mixing in Lanna Thai: the mixture of Northern Thai dialects ...

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codeword counts (sum =17,861)Per 1,000 wordsMuangYongMale Female Male FemaleFormal Informal Formal Informal Formal Informal Formal Informal1,719 1,744 1,863 3,072 2,784 918 2,730 3,031Approx. Time (mins) 10 10 9 16.3 16 7 16 14PhrayaTilokarajaMale-KalamasutraFemale-WaterconferenceKongkoighostPhra InthornYong-Ineloquenthungry[r-1] 0 2.9 8.1 9.5 3.2 0 15.8 10.9[l] 25 9.2 11.3 5.9 15.8 17.4 22.7 18.5[h] 11.6 22.4 18.8 2 19 18.5 7 5.3[Cr] 0 6.9 12.9 7.5 2.2 1.1 2.6 4.3[Cl] 0.6 2.3 2.7 2.3 0 0 5.1 2[C] 31.4 28.7 25.2 3.9 9 33.8 1.8 5.3[bor] 8.7 14.3 2.7 11.1 8.6 13.1 2.6 1.3[mai] 0 0 0 0 0 0 3.3 0Yong-smokedorangeYongsuperads22
Some glances• The [r-1] and [l] found a great deal.• Lots of [C] are used (negotiated form).• The [Cl] is less used, and surprisingly [Cr] isheavily used.23
Page 2: 1. IntroductionLanna Thai (NT) and
Page 8 and 9: 3. Objectives of the study1) To inv
Page 10 and 11: Yong vs. Muang vs. Bangkok Thai’s
Page 12 and 13: 4. Hypotheses(on the social factor
Page 14 and 15: 6. Methodology• Data: Connected s
Page 16 and 17: Examples from the anchors’ speech
Page 18 and 19: Wordcount in the corpustotal = 17,8
Page 20 and 21: Raw scorecodeMuangYongFemale Male M
Page 24 and 25: Chi-square test: EthnicitySocial va
Page 26 and 27: Chi-square test: Type of contextSoc
Page 28 and 29: Summary of the multivariate analysi
Page 30 and 31: Findings by social factors (Cont.)4
Page 32 and 33: Other Findings (cont.)8) In most fo
Page 34 and 35: 1) Female as a leader (Cont.)1.3) H
Page 36 and 37: 2) Males are more conservative orre
Page 38 and 39: Points to ponder from (3.1) & (3.2)
Page 40 and 41: 9. Conclusions1) Female -Yong might

Code mixing in Lanna Thai: the mixture of Northern Thai dialects ...

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