Textual patterns : key words and corpus analysis in language education / Mike Scott and Christopher Tribble.

Format:

Book

Author/Creator:

Scott, Mike, 1946-

Contributor:

Tribble, Chris.

Series:

Studies in corpus linguistics ; v. 22.

Studies in corpus linguistics, 1388-0373 ; v. 22

Language:

English

Subjects (All):

Language and languages--Computer-assisted instruction.

Language and languages.

Discourse analysis--Data processing--Study and teaching.

Discourse analysis.

Physical Description:

x, 203 p.

Edition:

1st ed.

Place of Publication:

Philadelphia : J. Benjamins, 2006.

Language Note:

English

Summary:

Textual Patterns introduces corpus resources, tools and analytic frameworks of central relevance to language teachers and teacher educators. Specifically it shows how key word analysis, combined with the systematic study of vocabulary and genre, can form the basis for a corpus informed approach to language teaching. The first part of the book gives the reader a strong grounding in the way in which language teachers can use corpus analysis tools (wordlists, concordances, key words) to describe language patterns in general and text patterns in particular. The second section presents a series of case studies which show how a key word / corpus informed approach to language education can work in practice. The case studies include: General language education (i.e. students in national education systems and those following international examination programmes), foreign languages for academic purposes, literature in language education, business and professional communication, and cultural studies in language education.

Contents:

Textual Patterns

Editorial page

Title page

LCC data

Table of contents

Preface

Part I

Texts in language study and language education

Introduction

Why have corpus-based methods caused an upheaval?

A text focus, a language focus, a culture focus or a brain focus?

The notion of context

Word-lists

Transformation

Selection

Kinds of word-list

Alphabetically ordered

Frequency ordered

Other possible orderings

One-word vs. n-word clusters

Adding contextual information to wordlists

Characteristics of word-lists

The nature of high-frequency items

Medium-frequency items

Hapax legomena

The distribution curve and the notion of a "power law''

The notion of "consistency''

What then do word-lists offer?

Notes

Concordances

What is meant by co-occurrence?

How much overlap is there between textual co-occurrence and the mental lexicon?

Handling a concordance

Patterns

Clusters

Is ago text-initial? - The dispersion plot

Key words of individual texts

Keyness

An example

Exclamations in Romeo

Different reference corpora

Where do the KWs come in the text?

Local versus global KWs

Links between KWs

Wide- and narrow-span linkages

KWs and part of speech

Key words and genres

Keyword linkage between texts

Formal patterns of Keyword linkage

Examples of Keyword linkage between texts

Associates

Conclusion

Part II

General English language teaching

Summary

Resources

Approach

Procedure

Step 1 - Select texts

Step 2 - Make wordlists

Step 3 - Make Keyword lists

Step 4 - Save lists as text files

Step 5 - Create an Excel workbook containing all the data

Findings

Written academic vs. conversation

Of.

That

Looking at a middle ground: Keywords in Fiction and Spoken Academic

Spoken Academic and Fiction Keywords referenced against BNC Sampler Written

Spoken Academic and Fiction Keywords referenced against BNC Spoken

Conclusions

Business and professional communication

Preliminary analysis

Example A

Example B

Example C

Example D

Preliminary analysis: Discussion

KW analysis - hope

Discourse moves

Contractions

Ellipsis

Vague language

Lexical density

KW analysis: Discussion

Appendix

English for academic purposes

Analysis 1: Clusters in academic writing in English

Single word lists

Two-word clusters

Three-word clusters

Four-word clusters

Cluster lists - conclusion

Analysis 2: Clusters in apprentice texts

The Poznan literature MA dissertation corpus

Comparing expert with apprentice academic writing

Comparing apprentice academic writing with general academic texts and expert texts in literary studies

BNC_LIT vs. POZ_LIT - mapping similarity and difference: Three-word clusters

BNC_LIT vs. POZ_LIT - mapping similarity and difference: Four-word clusters

Analysis 1

Analysis 2

Analysis 3

Analysis 4

Analysis 5

Identifying contrast between apprentice and expert performances - An interim conclusion

Appendix - BNC texts

Poznan literature dissertation titles

What counts in current journalism

Analysis 1: Who, what, where?

Who?

Second step - Check the immediate collocates

What and where?

Analysis 1: Conclusion

Analysis 2: It's a man's world - gender balance in the Guardian Weekly's news reporting

Titles

Pronouns

Discussion 1: Family words.

Discussion 2: Nouns

Discussion 3: Verbs

Analysis 2: Conclusion

Analysis 3: A changing world - UK news 1996-2001

UK News top five - GW_UK_NEWS vs. BNC

UK News top twenty

Counting things in texts you can't count on

The text

Tools

Pivot 1

Pivot 2

Pivot 3

Wordlists and keyword lists

Concordances and keywords

But can you count on it?

References

Name index

Subject index

The series Studies in Corpus Linguistics.

Notes:

Bibliographic Level Mode of Issuance: Monograph

ISBN:

9786612155932

9781282155930

1282155938

9789027293633

9027293635

OCLC:

237788421