國立虎尾科技大學 |

Measuring fluency: Temporal variables and pausing patterns in L2 English speech.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Measuring fluency: Temporal variables and pausing patterns in L2 English speech./
作者:	Park, Soohwan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	136 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-03(E), Section: A.
Contained By:	Dissertation Abstracts International78-03A(E).
標題:	Linguistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10150247
ISBN:	9781369052886

Measuring fluency: Temporal variables and pausing patterns in L2 English speech.
Park, Soohwan.

Measuring fluency: Temporal variables and pausing patterns in L2 English speech. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 136 p.

Source: Dissertation Abstracts International, Volume: 78-03(E), Section: A.

Thesis (Ph.D.)--Purdue University, 2016.

This paper examines temporal variables and pausing patterns in L2 English speech to investigate fluency as a measurable component of oral proficiency. Fluency can be defined as 'speed and smoothness of oral delivery'. We can measure the speed of oral delivery through calculating temporal variables such as speech rate and mean syllables per run where 'run' is the vocal chunk between silent pauses. The smoothness of oral delivery can be measured through examination of pausing patterns by classifying the placement of pauses. Pauses may be placed in expected positions such as clause/phrase boundaries or in unexpected positions. Pause placement in unexpected positions may reduce the smoothness of oral delivery. The data sets are speech samples from the Oral English Proficiency Test (OEPT) but include the responses from two items (RAL: read aloud; NP: news passage). A total of 325 speakers across four different language groups (native speakers of Korean, Chinese, Hindi, and English) are represented across 6 proficiency levels (rated by holistic scoring based on the OEPT scale from 35 to 60). The speech samples were transcribed manually using a computer-assisted annotation tool that allowed capture of information about syllables, pausing boundaries, and types of pausing positions. Development of the annotation tool became a central concern of this study as establishing reliable and efficient methods in fluency research. Speech rate, mean syllables per run, and number of pauses per second were selected to examine temporal variables; number of unexpected pauses per second and expected pausing ratio were selected to compare pausing patterns across proficiency levels and language backgrounds. The results show that there are some linear relationships in temporal and pausing variables. High proficiency level speakers spoke at higher rates with expected pausing patterns compared to low proficiency level speakers who spoke at slower rates with almost no identifiable pausing patterns.

ISBN: 9781369052886Subjects--Topical Terms:

557829
Linguistics.

Measuring fluency: Temporal variables and pausing patterns in L2 English speech.
LDR:02947nam a2200301 4500 001 890646
005 20180727091501.5
008 180907s2016 ||||||||||||||||| ||eng d
020 $a 9781369052886
035 $a (MiAaPQ)AAI10150247
035 $a (MiAaPQ)purdue:19996
035 $a AAI10150247
040 $a MiAaPQ $c MiAaPQ
100 1 $a Park, Soohwan. $3 1148458
245 1 0 $a Measuring fluency: Temporal variables and pausing patterns in L2 English speech.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 136 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-03(E), Section: A.
500 $a Adviser: April Ginther.
502 $a Thesis (Ph.D.)--Purdue University, 2016.
520 $a This paper examines temporal variables and pausing patterns in L2 English speech to investigate fluency as a measurable component of oral proficiency. Fluency can be defined as 'speed and smoothness of oral delivery'. We can measure the speed of oral delivery through calculating temporal variables such as speech rate and mean syllables per run where 'run' is the vocal chunk between silent pauses. The smoothness of oral delivery can be measured through examination of pausing patterns by classifying the placement of pauses. Pauses may be placed in expected positions such as clause/phrase boundaries or in unexpected positions. Pause placement in unexpected positions may reduce the smoothness of oral delivery. The data sets are speech samples from the Oral English Proficiency Test (OEPT) but include the responses from two items (RAL: read aloud; NP: news passage). A total of 325 speakers across four different language groups (native speakers of Korean, Chinese, Hindi, and English) are represented across 6 proficiency levels (rated by holistic scoring based on the OEPT scale from 35 to 60). The speech samples were transcribed manually using a computer-assisted annotation tool that allowed capture of information about syllables, pausing boundaries, and types of pausing positions. Development of the annotation tool became a central concern of this study as establishing reliable and efficient methods in fluency research. Speech rate, mean syllables per run, and number of pauses per second were selected to examine temporal variables; number of unexpected pauses per second and expected pausing ratio were selected to compare pausing patterns across proficiency levels and language backgrounds. The results show that there are some linear relationships in temporal and pausing variables. High proficiency level speakers spoke at higher rates with expected pausing patterns compared to low proficiency level speakers who spoke at slower rates with almost no identifiable pausing patterns.
590 $a School code: 0183.
650 4 $a Linguistics. $3 557829
650 4 $a English as a second language. $3 1148422
690 $a 0290
690 $a 0441
710 2 $a Purdue University. $b Linguistics. $3 1148459
773 0 $t Dissertation Abstracts International $g 78-03A(E).
790 $a 0183
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10150247