Computational Support for Early Elicitation and Classification of Tone

Autor/inn/en	Bird, Steven; Lee, Haejoong
Titel	Computational Support for Early Elicitation and Classification of Tone
Quelle	In: Language Documentation & Conservation, 8 (2014), S.453-461 (9 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1934-5275
Schlagwörter	Classification; Computational Linguistics; Tone Languages; Intonation; American Indian Languages; Uncommonly Taught Languages; Foreign Countries; Language Research; Phonology; Open Source Technology; Computer Software; Audio Equipment; Listening Skills; Mexico; Papua New Guinea + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Linguistics; Computerlinguistik; Tonsprache; Minderheitensprache; Ausland; Sprachforschung; Fonologie; Audio-CD; Mexiko; Papua-New Guinea; Papua-Neuguinea
Abstract	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 open source software that can assist with solving this problem. Users listen to words and phrases of interest, before grouping them into clusters having the same tonal properties. In this manner, it is possible to quickly annotate words of interest in extended recordings, and compare items that may be widely separated in the source audio to obtain consistent labelling. Users have reported that it is possible to train one's ear to pick up on the linguistically salient distinctions. The approach is illustrated with data from Eastern Chatino (Mexico) and Alekano (Papua New Guinea). (As Provided).
Anmerkungen	National Foreign Language Resources Center at University of Hawaii. Department of Linguistics, UHM Moore Hall 569, 1890 East-West Road, Honolulu, HI 96822. Fax: 808-956-9166; e-mail: ldc@hawaii.edu; Web site: http://nflrc.hawaii.edu/ldc/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01