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Task repetition and second language speech processing

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This paper examined the relationship between the repetition of oral monologue tasks and immediate gains in L2 fluency and found that immediate aural-oral same task repetition was related to gains in oral fluency regardless of proficiency level or task type.
Abstract
This study examines the relationship between the repetition of oral monologue tasks and immediate gains in L2 fluency. It considers the effect of aural-oral task repetition on speech rate, frequency of clause-final and mid-clause filled pauses, and overt self-repairs across different task types and proficiency levels and relates these findings to specific stages of L2 speech production (conceptualization, formulation and monitoring). Thirty-two Japanese learners of English sampled at three levels of proficiency completed three oral communication tasks (instruction, narration and opinion) six times. Results revealed that immediate aural-oral same task repetition was related to gains in oral fluency regardless of proficiency level or task type. Overall gains in speech rate were the largest across the first three performances of each task type, but continued until the fifth performance. More specifically, however, clause-final pauses decreased until the second performance, mid-clause pauses to the fourth, and self-repairs decreased only after the fourth performance indicating that task repetition may have been differentially related to specific stages in the speech production process.

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Task repetition and second language speech processing
Authors:
Craig Lambert
Curtin University, School of Education
Kent Street, Bentley
Perth, West Australia 6845, Australia
craig.lambert@curtin.edu.au
Judit Kormos
Lancaster University
Department of Linguistics and English Language
Lancaster, United Kingdom
LA1 4YL
j.kormos@lancaster.ac.uk
Danny Minn
Kitakyushu University, Center for Fundamental Education,
Kokura Minami-ku Kitagata 4-2-1
Kitakyushu-shi, Fukuoka-ken 802-8577, Japan
<danminn@kitakyu-u.ac.jp>
TO BE PUBLISHED IN STUDIES IN SECOND LANGUAGE ACQUISITION
Author’s accepted version

Abstract
This study examines the relationship between the repetition of oral monologue tasks and
immediate gains in L2 fluency. It considers the effect of aural-oral task repetition on
speech rate, frequency of clause-final and mid-clause filled pauses, and overt
self-repairs across different task types and proficiency levels and relates these findings
to specific stages of L2 speech production (conceptualization, formulation and
monitoring). Thirty-two Japanese learners of English sampled at three levels of
proficiency completed three oral communication tasks (instruction, narration and
opinion) six times. Results revealed that immediate aural-oral same task repetition was
related to gains in oral fluency regardless of proficiency level or task type. Overall gains
in speech rate were the largest across the first three performances of each task type, but
continued until the fifth performance. More specifically, however, clause-final pauses
decreased until the second performance, mid-clause pauses to the fourth, and
self-repairs decreased only after the fourth performance indicating that task repetition
may have been differentially related to specific stages in the speech production process.
BACKGROUND AND MOTIVATION
A primary issue for research on incidental SLA is how to optimize learners’ ability to
use language in conjunction with communicative task performance. Definitions of such
tasks have varied, but for the purpose of the present study, the term “task” will be used,
following Ellis (2009), to refer to L2 learning activities that meet four criteria:
1. There is a primary focus on meaning,
2. There is a gap which necessitates communication,

3. Learners must draw on their own resources to complete it,
4. There is a communicative outcome beyond the use of language for its own sake.
When these criteria are met, tasks can be argued to play an important role in L2
pedagogy in that they provide learners with opportunities to employ their linguistic
repertoire under relatively natural conditions.
One factor in the implementation of such tasks that has been argued to play a
crucial role in optimizing language use and that has received considerable theoretical
and empirical attention in the L2 literature is the planning processes that learners engage
in in conjunction with the performance of these tasks (see Pang & Skehan, 2014, for a
recent overview). Ellis (2005) identifies two points in the pedagogic process at which
opportunities for planning might be manipulated. The first is before the task begins. At
this stage, learners might either be allowed time to plan the language or content that
they will use during the task (either in the L1 or in the L2) or given the opportunity to
rehearse their performance of the task. In the latter case, they complete a sequence of
tasks in which they either repeat the exact same task or a parallel version of the task
with slightly different content (Bygate, 2001). The second point at which learners’
opportunity to plan their performance might be controlled is during the task
performance itself. Learners can either be allowed unlimited time to complete the task,
or time limits might be imposed on their performances (Maurice, 1983; Nation, 1989).
In line with the definition of task outlined above, however, task repetition
might be argued to necessitate a different interlocutor each time the task is repeated. A
change in interlocutor preserves task integrity by requiring learners to create original
meanings each time the task set is performed. In the present study, for example,
participants performed monologue tasks in pairs alternating as speaker and listener with

a different interlocutor each time as they might if they were repeating the tasks in a
classroom or real-world setting. This approach could be argued to add to the external
validity of the repetition process in that the exposure that learners receive involves both
input-based and output-based versions of the task. The construct of task repetition as it
is operationalized in the present study thus represents a combination of task repetition
and interlocutor input. It is thus referred to as aural-oral task repetition.
Task repetition of this sort might help learners improve their performances by
allowing them to activate, refine, and optimize their linguistic resources for the purpose
of successfully completing a given task in line with the specific communicative
demands that it entails. Empirical studies on task repetition have asked learners to
repeatedly engage in exactly the same task (e.g. Ahmadian & Tavakoli, 2011; Bygate,
1996, 1999, 2001), in the same type of task with slightly different content (Gass,
Mackey, Alvarez-Torres & Fernandez-Garcia, 1999), or in a task that has the same
communicative goal but different content and interlocutors each time (Lynch &
Maclean, 2000, 2001). Several empirical studies have also examined the effects of
repetition in conjunction with decreasing the time available on consecutive
performances (e.g., de Jong & Perfetti, 2011; Nation, 1989; Arevart & Nation, 1991,
1993). Furthermore, repetition effects have been investigated immediately (e.g. Lynch
& Maclean, 2000, 2001; Wang, 2014) or after days (Gass et al., 1999) or weeks (e.g.
Ahmadian & Tavakoli, 2011; Bygate, 1996, 1999, 2001). Finally, speakers have
repeated their performance once (e.g. Bygate, 1996, 1999, 2001; Wang, 2014) or several
times ranging from 3 or 4 (Gass et al., 1999) to 11 (Ahmadian, 2011).
Of the different forms of planning proposed by Ellis (2005), rehearsal (or task
repetition) has been shown to have the most robust effects on L2 fluency (Ahmadian &

Tavakoli, 2011; Arevart & Nation, 1991, 1993; Bygate, 2001; Lynch & Maclean, 2000;
Nation, 1989; Wang, 2014). Fluency is generally defined as skilled L2 performance,
referring to rapid, smooth and accurate communication of one’s intentions during
on-line processing (Lennon, 2000, p. 26). Fluent performance thus entails the efficient
functioning of speech production processes under the constraints of real-time oral
interaction.
The modular model of L1 speech production proposed by Levelt (1989, 1999)
and adapted to L2 speech production by de Bot (1992) and Kormos (2006) postulates
three primary stages of speech production. The first is a conceptualization stage in
which the speaker selects information from world knowledge to include in a message
and organizes it into an information structure to create a pre-verbal plan. The second is a
complex set of procedures referred to as a formulation stage in which the pre-verbal
plan is encoded grammatically and phonetically. Concepts and their relational structure
are argued to be projected onto a phrase structure driven by lemmas drawn from the
speaker’s mental lexicon that have associated semantic, syntactic, morphological, and
phonological properties. This phrase structure is then encoded with phonetic and
prosodic information to produce a phonetic plan. The third and final stage of speech
production is then articulation in which the phonetic plan is buffered and parsed as
syllables at the motor level.
The essence of this model, as it relates to L2 fluency, is that these three stages
are assumed to operate in parallel. Although each module is expected to work on
specific input and generate specific output for the next module, they are hypothesized to
operate simultaneously provided that processing in the parallel module is sufficiently
automatic (Levelt, 1989, 1999). For proficient speakers, formulation may be largely

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Frequently Asked Questions (9)
Q1. What are the future works in this paper?

These findings have implications for past and future research on task repetition as it relates to theories of L2 speech production mechanisms and attention during performance. Therefore, future research which investigates the linguistic production of students together with their pausing profile is needed to uncover potential proficiency-related benefits of task repetition pertaining to the division of attentional resources at different stages of speech production. Future research on the effects of repetition independent of interlocutor input and other interlocutor effects is now needed to provide a more fine-grained picture of the effects of repetition as ‘ practice ’ rather than repetition as ‘ communication ’ on the efficiency of L2 speech production. The findings suggest that up to five performances of a task may be required to prime, activate and optimize students ’ linguistic encoding processes on a task so that they can avoid breakdown and monitor their performance efficiently. 

This study examines the relationship between the repetition of oral monologue tasks and immediate gains in L2 fluency. Definitions of such tasks have varied, but for the purpose of the present study, the term “ task ” will be used, following Ellis ( 2009 ), to refer to L2 learning activities that meet four criteria: 1. There is a primary focus on meaning, 2. In the present study, for example, participants performed monologue tasks in pairs alternating as speaker and listener with a different interlocutor each time as they might if they were repeating the tasks in a classroom or real-world setting. The construct of task repetition as it is operationalized in the present study thus represents a combination of task repetition and interlocutor input. Although each module is expected to work on specific input and generate specific output for the next module, they are hypothesized to operate simultaneously provided that processing in the parallel module is sufficiently automatic ( Levelt, 1989, 1999 ). Particularly relevant to the present study is Wang ’ s ( 2014 ) research which compared various approaches to providing learners with opportunities to plan and found much larger effect sizes for repeating a task once than for other types of planning ( see also Skehan, Xiaoyue, Quian & Wang, 2012 ). Furthermore, repetition effects have been investigated immediately ( e. g. Lynch & Maclean, 2000, 2001 ; Wang, 2014 ) or after days ( Gass et al., 1999 ) or weeks ( e. g. Ahmadian & Tavakoli, 2011 ; Bygate, 1996, 1999, 2001 ). Wang ’ s findings suggest that one task repetition enhances the speed with which students can deliver their message as well as reduces the time needed to pause at clause boundaries for generating ideas. Furthermore, language proficiency may interact with task demands so that higher proficiency learners, for example, would improve as a result of repeating tasks that are high in conceptualization demands, but not on those in which conceptual planning requires less attention. 

The findings suggest that up to five performances of a task may be required toprime, activate and optimize students’ linguistic encoding processes on a task so that they can avoid breakdown and monitor their performance efficiently. 

Mid-clause pausing has been found to signal breakdowns in the linguistic encoding process and tends to occur because of difficulties in lexical access or syntactic encoding (Götz, 2013; Kormos, 2006). 

For the proportion of participants who did not feel that six performances of a task were necessary, the optimal number of repetitions they perceived as being useful for the narration task was four, slightly less for the opinion task, and closer to three for the instruction task. 

For this reason, task repetition might result in fewer gains for more advanced learners as one of its primary functions is to allow learners to activate relevant content and linguistic encoding processes. 

Task repetition of this sort might help learners improve their performances byallowing them to activate, refine, and optimize their linguistic resources for the purpose of successfully completing a given task in line with the specific communicative demands that it entails. 

The second point at which learners’ opportunity to plan their performance might be controlled is during the task performance itself. 

The frequency of self-repairs is stable between the first two performances of the task set for all groups when clause-final pausing effects were significant (see Figure 4), and relatively stable through the third performance when mid-clause pausing effects were the largest (see Figure 7).