Header

UZH-Logo

Maintenance Infos

The Inadequacy of Rhythm Metrics to Quantify L2 Suprasegmental Characteristics


He, Lei (2014). The Inadequacy of Rhythm Metrics to Quantify L2 Suprasegmental Characteristics. In: Speech Prosody, Dublin, 20 May 2014 - 23 May 2014, 1095-1098.

Abstract

The study investigated the L2 speech rhythm of Chinese English speakers (L1 = Mandarin) using the metrics of ΔV, ΔC, %V, VarcoV, VarcoC, rPVI-C and nPVI-V. Five native speakers of American English and Mandarin were recruited to record five sentences in English. In addition, the Chinese speakers also recorded five Mandarin sentences. One-way ANOVAs were conducted to see if significant differences exist on each of the metrics among L1 English, L2 English and L1 Mandarin. Results show that the two L1’s are categorically distinct on all metrics, conforming to the perceptually distinct rhythmicities of English and Mandarin. However, no significant differences were found between L1 and L2 English (which have different intuitive rhythmicities) on almost all the metrics, suggesting that the metrics are inadequate to capture the suprasegmental details that give the final make-up of speech rhythm. Finally, new directions of speech rhythm research and new applications of the rhythm metrics are sketched.

Abstract

The study investigated the L2 speech rhythm of Chinese English speakers (L1 = Mandarin) using the metrics of ΔV, ΔC, %V, VarcoV, VarcoC, rPVI-C and nPVI-V. Five native speakers of American English and Mandarin were recruited to record five sentences in English. In addition, the Chinese speakers also recorded five Mandarin sentences. One-way ANOVAs were conducted to see if significant differences exist on each of the metrics among L1 English, L2 English and L1 Mandarin. Results show that the two L1’s are categorically distinct on all metrics, conforming to the perceptually distinct rhythmicities of English and Mandarin. However, no significant differences were found between L1 and L2 English (which have different intuitive rhythmicities) on almost all the metrics, suggesting that the metrics are inadequate to capture the suprasegmental details that give the final make-up of speech rhythm. Finally, new directions of speech rhythm research and new applications of the rhythm metrics are sketched.

Statistics

Downloads

10 downloads since deposited on 08 Dec 2016
10 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Comparative Linguistics
06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
490 Other languages
890 Other literatures
410 Linguistics
Language:English
Event End Date:23 May 2014
Deposited On:08 Dec 2016 15:27
Last Modified:31 Jan 2017 08:32
Publisher:s.n.

Download

Preview Icon on Download
Preview
Filetype: PDF
Size: 525kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations