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Formulaic language and second language speech fluency : background, evidence and classroom applications PDF

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Formulaic Language and Second Language Speech Fluency Also available from Continuum Perspectives on Formulaic Language David Wood Idioms and Collocations Christiane Fellbaum Formulaic Language and Second Language Speech Fluency Background, Evidence and Classroom Applications David Wood Continuum International Publishing Group The Tower Building 80 Maiden Lane 11 York Road Suite 704 London SE1 7NX New York, NY 10038 www.continuumbooks.com © David Wood 2010 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage or retrieval system, without prior permission in writing from the publishers. British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. ISBN: 978–1-4411–5819-2 (hardcover) Library of Congress Cataloging-in-Publication Data A catalog for this book is available from the Library of Congress. Typeset by Newgen Imaging Systems Pvt Ltd, Chennai, India Printed and bound in Great Britain by CPI Antony Rowe, Chippenham, Wiltshire Contents Introduction 1 Part I: Background Chapter 1: Fluency 9 Chapter 2: Formulaic Sequences 38 Chapter 3: Cognitive Processing 60 Chapter 4: Social and Cultural Factors 72 Part II: Evidence Chapter 5: Design of the Study 87 Chapter 6: Quantitative Results 115 Chapter 7: Qualitative Results 147 Chapter 8: Conclusions of the Research Study 171 Part III: Applications Chapter 9: Fluency and Formulaic Language in the Classroom 183 References 224 Index 235 This page intentionally left blank Introduction Second language (L2) speech fl uency is a language performance phe- nomenon which, while integral to effective communication and ability to thrive in an L2 milieu, is not particularly well understood by the lan- guage teaching profession. Unfortunately, many L2 learners grapple with the effects of inadequate fl uency long after completing basic L2 study. As well, L2 teachers and assessors tend to bypass efforts to facili- tate development of fl uency and focus instead on language accuracy and a hope that input and practice will help learners to speak “more smoothly.” This may be due to the fact that fl uency is a challenging con- struct whose psycholinguistic foundations and place in the language curriculum have not been investigated or discussed fully. The present volume is an investigation of the nature of fl uency development in an effort to further our understanding of this important element of L2 performance, so instrumental for effective communication, yet so mar- ginalized in the language curriculum. More specifi cally, the background literature reviewed here, along with the empirical study presented, clar- ify the role of formulaic language and psycholinguistic processes in the development of speech fl uency in a second language. Implications for classroom teaching practice are presented, as are specifi c activities and sequences of tasks. To date, research on fl uency has largely focused on temporal variables of speech, namely, speech rate, repairs, amount and frequency of hesita- tion, location of pauses, and length of runs of fl uent speech between pauses (Raupach, 1980; Möhle, 1984; Lennon, 1990a, 1990b; Riggenbach, 1991; Freed, 1995; Towell, Hawkins & Bazergui, 1996; Hansen, Gardner & Pollard, 1998). Some recent research indicates that a possible key to speech fl uency lies in the mastery of a repertoire of formulaic speech units, multiword strings or frames which are retrieved from long-term memory as if they were single words (Nattinger & DeCarrico, 1992; 2 Formulaic Language and L2 Speech Fluency Towell, Hawkins & Bazergui, 1996; Chambers, 1998; Wray, 2002). These multiword units include, among other categories, 2-word collocations such as good time, or fi rst step, phrasal verbs such as run into, or come across, idioms, routine expressions with social pragmatic functions such as have a good day or how are you, whole clauses, discourse markers such as on the other hand or in summary, and frames with fi llable lexical slots such as a (year/day/week . . .) ago or a (one/two/three . . .) step process. In cognitive theory, a number of key concepts help to explain how formulaic sequences can be learned and processed in the mind so as to facilitate fl uent speech production. The following paragraphs outline these concepts, and for a more complete discussion see Chapters Two and Three. A central distinction in cognitive theory is made between two types of knowledge, declarative knowledge and procedural knowledge. Declarative knowledge has been defi ned as knowledge of content and information, or as knowledge of things or as what is known. On the other hand, pro- cedural knowledge is defi ned as knowledge of how to do or perform things, and it is the basis of skilled behavior. Connected to these two distinct types of knowledge is the concept of automatization or procedural- ization, a process by which declarative knowledge may become procedural knowledge. In this process, declarative knowledge is transformed into procedural knowledge so as to enhance and speed up skilled performance and permit declarative knowledge of information and content to be used rapidly and effi ciently in performance of skilled behavior (Anderson, 1983, 1993; Levelt, 1989). Given that formulaic sequences are multi- word units which appear to be dealt with cognitively as single words, knowledge of formulaic sequences may be automatized as single words are. This could allow expression to occur fl uently under the constraints of time which real-life speech entails. Research into how human memory operates also has yielded informa- tion which can help to inform research into mental processing of language. The concepts of long-term memory, short-term memory, and working memory are key in this. In dealing with language processing, long-term memory is a storehouse of knowledge of all kinds about language, including lexis, syntactic and morphological rules, semantic information, and so on. For utterances to be produced, however, items must be extracted from long-term memory to express the concepts required. According to Levelt’s (1989) lexically driven model of speech production, lexical Introduction 3 items must be retrieved relevant to the intended expression, and the semantic, morphological, and syntactic rules applied to them, after which phonological rules need to be employed to create the utterance. This seemingly laborious process requires the use of short-term mem- ory. However, short-term memory capacity in humans is restricted to holding at most seven or eight discrete items at a time, which would seem to make the construction of complex or lengthy sentences and utterances time consuming and almost impossible (Anderson, 1983). Formulaic sequences retrieved from long-term memory as wholes can bypass the storage limit of short-term memory, allowing many words to be held in short-term memory rather than merely seven or eight single words at a time. Working memory (Baddeley, 1986; Gathercole & Baddeley, 1993), is proposed as the site of rehearsal, practice, and assembly of language sequences. Working memory may be key to automatization of language, specifi cally formulaic sequences, according to Anderson (1993). Anderson’s model of automatization involves three types of memory, declarative, procedural, and working memory. According to Anderson (1993), automatization may develop over time as chunks of language are separately taken from long-term memory and assembled in working memory. Robinson (1995) outlines a similar process involving novel language to which learners are exposed, by which language input is converted into intake, or becomes part of language competence, as chunks of input are rehearsed in working memory. With repeated prac- tice of this, the chunks may become part of the production rule and bypass declarative memory, or they may be retrieved directly from declarative memory without need for working memory. The distinction between controlled and automatic processing is another important part of discussions about language processing. Controlled processing is a conscious, effortful process of selecting and organizing or manipulating language knowledge, using consciously learned rules and parameters. Word-by-word construction of a novel utterance under controlled processing would require following the steps outlined above in extracting lexical items from long-term memory and applying rules to them using short-term or working memory to create utterances. Conversely, automatic processing is a result of automatization of such knowledge, as well as automatic access to certain elements under given conditions. It is a fast, virtually effortless process which occurs below the level of the speaker’s conscious awareness (McLaughlin, Rossman, &

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