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Zaiwa

Published online by Cambridge University Press:  29 October 2025

Yao Lu*
Affiliation:
Laboratory of Language Sciences, Peking University, Beijing, China Department of Chinese Language and Literature, Peking University, Beijing, China
Lu Wang
Affiliation:
International College for Chinese Studies, Nanjing Normal University, Nanjing, China
Mudi Li
Affiliation:
Department of Humanities, Dehong Normal University, Mangshi, China
Jiangping Kong
Affiliation:
Laboratory of Language Sciences, Peking University, Beijing, China Department of Chinese Language and Literature, Peking University, Beijing, China
*
*Corresponding author. Email: yaolu@pku.edu.cn
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Extract

Zaiwa (ISO 639-3 code: atb; Glottocode: zaiw1241) belongs to the Burmese branch of the Tibeto-Burman languages, sharing many common features with the Burmese and Achang languages of the same branch. It is primarily spoken by a subgroup of Jingpo people, who identify as ‘Zaiwa’. Beyond Zaiwa, the Jingpo people encompass four distinct subgroups, each conversing in unique linguistic variations, namely Jingpo (景颇), Langsu (浪速), Leqi (勒期), and Bola (波拉). Jingpo is distinctively affiliated with the Jingpo branch of the Tibeto-Burman languages, whereas the other three languages, including Zaiwa, are categorized within the Burmese branch (He, 2016). The majority of Zaiwa speakers are found in Luxi (潞西), Yingjiang (盈江), Longchuan (陇川), Ruili (瑞丽), Lianghe (梁河), and Wanding (畹町) counties within the Dehong Dai and Jingpo Autonomous Prefecture (德宏傣族景颇族自治州) of Yunnan province (云南省) as well as the Shan and Kachin states in Myanmar. Zaiwa is widely used in Zaiwa-dominant areas or communities with a significant Zaiwa presence. It is used not only in daily life contexts, such as among family members, villages, markets, and shops, but also in a range of social sectors, including in government and judicial offices, as well as on radio and broadcasting stations. Among the Jingpo languages, Zaiwa has the largest number of users. Individuals who speak Zaiwa often speak languages of other Jingpo subgroups in addition to Mandarin Chinese. Due to the extensive promotion and dissemination of Mandarin, particularly in educational and media contexts, Mandarin has emerged as the predominant second language for the youth within the community. Moreover, in neighboring regions or mixed communities where the Zaiwa subgroup is prominent, individuals from other ethnic groups such as the Achang, Han, Dai, and Lisu also frequently speak Zaiwa. According to the statistics from China’s Sixth National Population Census in 2010, the total population of the Jingpo ethnic group is approximately 140,000. There were over 80,000 Zaiwa speakers within China, constituting more than 60% of the total Jingpo ethnic population in the country (He, 2016). Scholars such as Xu and Xu (1984), Dai (1989), Kong (2001), Pan (2014), He (2016), Lu and Kong (2019), and Lu et al. (2025) have conducted studies on the phonetics of Zaiwa.

Information

Type
Illustration of the IPA
Creative Commons
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Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The International Phonetic Association
Figure 0

Figure 1. Distribution of Zaiwa. The areas of Zaiwa are shaded pink. The map is drawn from C1-24 of Language Atlas of China, second edition.

Figure 1

Figure 2. Waveforms and spectrograms for the minimal pairs 𰀯tha51𰀯 ‘argue, rebuke’ and 𰀯ta35𰀯 ‘time’ (measure).

Figure 2

Figure 3. VOT of plosives in Zaiwa, where unaspirated and aspirated plosives are indicated by distinct colors. The mean and standard deviations were calculated using five tokens of each plosive from a single speaker.

Figure 3

Figure 4. Waveforms and spectrograms for the minimal pairs 𰀯tse51𰀯 ‘items’ and 𰀯tsʰe51𰀯 ‘ten’.

Figure 4

Figure 5. VOT of affricates in Zaiwa, where unaspirated and aspirated affricates are indicated by distinct colors. The mean and standard deviations were calculated using five tokens of each affricate from a single speaker.

Figure 5

Figure 6. FFT (Fast Fourier Transform, blue) and logarithmic (red) spectra (Linear Predictive Coding, red) spectrum (made with a 23-ms window centered on the peak of noise intensity) of the frication in 𰀯sa51𰀯 ‘hand basket’, 𰀯ʃai51𰀯 ‘naughty’, 𰀯ʃje51𰀯 ‘loose’, 𰀯xe51𰀯 ’swing, deny’, and 𰀯xje51𰀯 ‘that’.

Figure 6

Figure 7. Waveforms and spectrograms for 𰀯ʋa21𰀯 [wa] ‘bamboo’ and 𰀯ɹa21𰀯 ‘need’.

Figure 7

Figure 8. Waveforms and spectrograms for the minimal pairs 𰀯pa򐌰51𰀯 ‘silly’ versus 𰀯pja򐌰51𰀯 ‘perform’. The red dotted lines represent the formants.

Figure 8

Figure 9. The mean F2 onset after plain versus palatalized consonants. The mean and standard deviations were calculated using eight tokens of each consonant from the single speaker.

Figure 9

Figure 10. Formant plots for the monophthongs of Zaiwa, F1 and F2 of each vowel were based on mean formant values of 10 open syllables. The ellipses show the F1 and F2 values to two standard deviations.

Figure 10

Figure 11. Waveforms and spectrograms for [pɤk31] ‘to shoot’ and 𰀯tjik55𰀯 ‘urgent, fast’. The red dotted lines represent the formants.

Figure 11

Figure 12. Waveforms and spectrograms for the minimal pairs [pə35] ‘fall off’ versus 𰀯tje35𰀯 ‘send’. The red dotted lines represent the formants.

Figure 12

Figure 13. Waveforms and spectrograms for [mə21] ‘green blue’ and [mɤk21] ‘greedy’. The red dotted lines represent the formants.

Figure 13

Figure 14. H1*–H2* of vowels with modal and pressed voice. The means and standard deviations were calculated using five tokens of each phonation type from the single speaker.

Figure 14

Figure 15. Formant plots for the diphthongs of Zaiwa, F1 and F2 of vowel were based on mean formant values of 5 syllables.The ellipses show the F1and F2 values to 2 standard deviations.

Figure 15

Figure 16. F0 contours of Zaiwa tones for the one speaker.

Figure 16

Table 1. Syllable structure and examples of Zaiwa

Supplementary material: File

Lu et al. supplementary material

Lu et al. supplementary material
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