FIGURE 3. Locally weighted regression analyses of two nonsalient Phila translation - FIGURE 3. Locally weighted regression analyses of two nonsalient Phila Indonesian how to say

FIGURE 3. Locally weighted regressi

FIGURE 3. Locally weighted regression analyses of two nonsalient Philadelphia sound changes by date of birth and race. a = African American, n = 36; w = White, n = 330. Gray area = 95% confidence intervals.

participated in this raising, with women and college graduates slightly ahead in the most recent decades. These are not salient variables: (eyC) has never been cited in public as a feature of Philadelphia English and (ay0) rarely is. Figure 3 compares the mean values of these two variables for whites and African Americans by date of birth. The dashed lines are the locally weighted regressions for the white majority and the solid lines for African Americans.4 The white majority of African Americans lag behind the white majority, though one outlier born in
1979 closes the gap. The (ay0) graph registers centralization as lowering of F1. Some tendency to follow the white majority appears among the older speakers, but among the younger African American speakers, only the same outlier approximates the white trend.
LRF found unexpected reversals in the development of back upgliding vowels
/aw, ow, uw/ in the white mainstream, which had shown a steady pattern of increased fronting in the 1970s. The reversal began with speakers born in the
1950s; though it appears at the same time in four variables, there is at present no
explanation as to why it occurred at this time.5 LRF points out that the variables that are reversed are those that are also found in Southern dialects, while those that continue in the same direction are found in Northern dialects. It is also true that the two sets differ in the degree of salience in the speech community. The strongly fronted forms of the back upgliding vowels show a certain degree of social awareness for whites, as demonstrated in subjective reaction experiments (Labov, 2001:208–222).
0/5000
From: -
To: -
Results (Indonesian) 1: [Copy]
Copied!
GAMBAR 3. Lokal tertimbang analisis regresi dua nonsalient Philadelphia perubahan suara oleh tanggal lahir dan ras. = Afrika Amerika, n = 36; w = putih, n = 330. Abu-abu daerah = 95% confidence interval.berpartisipasi dalam ini membesarkan, perempuan dan college lulusan sedikit di depan dalam dekade terakhir. Ini tidak menonjol variabel: (eyC) telah pernah dikutip dalam umum sebagai fitur English Philadelphia dan (ay0) jarang adalah. Gambar 3 membandingkan nilai berarti kedua variabel untuk putih dan Afrika Amerika oleh tanggal lahir. Garis putus adalah regresi lokal tertimbang untuk sebagian besar putih dan garis yang solid untuk Afrika Americans.4 besar Afrika Amerika tertinggal di belakang sebagian besar putih, meskipun satu outlier lahir di1979 menutup kesenjangan. Grafik (ay0) register sentralisasi sebagai penurun F1. Beberapa kecenderungan untuk mengikuti mayoritas putih muncul di antara para pembicara yang lebih tua, tetapi antara African American muda, hanya sama outlier mendekati tren putih.LRF ditemukan pembalikan yang tak terduga dalam pengembangan upgliding kembali vokal/ aw, Aduh, uw / dalam arus utama putih, yang telah menunjukkan pola mantap fronting peningkatan pada tahun 1970. Pembalikan mulai dengan speaker yang lahir ditahun 1950-an; Meskipun muncul pada saat yang sama dalam empat variabel, ada hadir tanpapenjelasan mengapa hal itu terjadi di time.5 ini LRF menunjukkan bahwa variabel-variabel yang dibalik adalah mereka yang juga ditemukan di Selatan dialek, sementara orang-orang yang terus ke arah yang sama ditemukan di utara dialek. Hal ini juga benar bahwa dua set berbeda dalam tingkat arti-penting di komunitas pidato. Bentuk sangat fronted vokal upgliding kembali menunjukkan tingkat tertentu kesadaran sosial untuk putih, seperti yang dibuktikan dalam percobaan subjektif reaksi (Labov, 2001:208-222).
Being translated, please wait..
 
Other languages
The translation tool support: Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Cebuano, Chichewa, Chinese, Chinese Traditional, Corsican, Croatian, Czech, Danish, Detect language, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Frisian, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Kinyarwanda, Klingon, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Myanmar (Burmese), Nepali, Norwegian, Odia (Oriya), Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scots Gaelic, Serbian, Sesotho, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tajik, Tamil, Tatar, Telugu, Thai, Turkish, Turkmen, Ukrainian, Urdu, Uyghur, Uzbek, Vietnamese, Welsh, Xhosa, Yiddish, Yoruba, Zulu, Language translation.

Copyright ©2025 I Love Translation. All reserved.

E-mail: