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Morgan Sleeper; Griselda Reyes Basurto – Language Documentation & Conservation, 2022
This study introduces a new methodology for integrating musical and linguistic data in language documentation, using ABC notation and open-source tools like ELAN and MuseScore. Designed for portability and exportability, and to facilitate both linguistic analysis and community-oriented material development, this methodology is used here to explore…
Descriptors: Music, Linguistics, Language Research, Language Maintenance
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Teeranon, Phanintra – Journal of Language and Linguistic Studies, 2020
This study investigates the acoustic characteristics of Thai tones produced by Chinese students learning Thai through the "Tone Application", and conducts an attitude test towards the use of the Tone Application. A comparison of Thai tones pronounced by the participants with 40 native Thai speakers was also conducted. The acoustic…
Descriptors: Tone Languages, Intonation, Thai, Chinese
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Tang, Ping; Yuen, Ivan; Demuth, Katherine; Rattanasone, Nan Xu – Developmental Psychology, 2023
Contrastive focus, conveyed by prosodic cues, marks important information. Studies have shown that 6-year-olds learning English and Japanese can use contrastive focus during online sentence comprehension: focus used in a "contrastive context" facilitates the identification of a target referent (speeding up processing), whereas focus used…
Descriptors: Mandarin Chinese, Suprasegmentals, Intonation, Prediction
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Zhang, Juan; Meng, Yaxuan; Fan, Xitao; Ortega-Llebaria, Marta; Ieong, Sao Leng – Educational Psychology, 2018
In English, positions of lexical stress in disyllabic words are associated with word categories; that is, nouns tend to be stressed more often on the first syllable, whereas verbs are more likely to be stressed on the second syllable (i.e. "sub"ject (noun) vs. sub"ject" (verb)). This phenomenon, which is called the stress…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phonology
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Bird, Steven; Lee, Haejoong – Language Documentation & Conservation, 2014
Investigating a tone language involves careful transcription of tone on words and phrases. This is challenging when the phonological categories--the tones or melodies--have not been identified. Effects such as coarticulation, sandhi, and phrase-level prosody appear as obstacles to early elicitation and classification of tone. This article presents…
Descriptors: Classification, Computational Linguistics, Tone Languages, Intonation
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Mushangwe, Herbert – Iranian Journal of Language Teaching Research, 2014
This study examined how technology can help in assessing and teaching Chinese tones to foreign students who are not used to tonal languages. It was an attempt to show how we can use the PRAAT software to make learners of Chinese as a foreign language realize their tonal errors. The data used was collected from the students at the University of…
Descriptors: Foreign Countries, Chinese, Second Language Instruction, Tone Languages
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Zhan, Hong; Cheng, Hsiu-Jen – International Journal of Technology in Teaching and Learning, 2014
Chinese characters have been an obstacle preventing the development of Chinese proficiency for learners of Chinese whose native language does not have characters. A substantial literature review identified linguistic, pedagogical, and political factors as causes such difficulties. Tone changes represent different meanings of a word. Compound…
Descriptors: Chinese, Written Language, Distinctive Features (Language), Difficulty Level
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis