Lexical priming : applications and advances

Intro.
Lexical Priming.
Editorial page.
Title page.
LCC data.
Table of contents.
Acknowledgements.
Foreword.
Introduction.
1. Why this book.
2. Michael Hoey's theory of lexical priming.
3. Lexical priming: Advances and applications.
PART I. Discourse analysis.
Cohesion and coherence in acontent{u2011}specific corpus.
1. Introduction.
2. The corpus.
3. Cohesion studies versus corpus linguistics.
4. Types of lexical cohesion used as a way of repeating textual material.
5. The significance of cohesive repetition.
6. A corpus-linguistic perspective on the cohesion in the 'Planet X' text.
7. A way forward.
8. Collocation and semantic association across texts that creates cohesive chain interaction.
9. Content-specific collocations, semantic associations and cohesive chains.
10. Intertextual bonding.
12. Some brief conclusions.
Appendix.
The invisible influence of Planet X.
A corpus-based investigation into English representations of Turks and Ottomans in the early modern period.
1. Introduction.
2. England and the Ottomans.
3. Defining Ottoman and Turk.
4. Receptive and productive primings.
5. Turk as a religious identity.
6. Perceptions of Ottoman expansionism.
7. The spectre of apostasy.
8. Conclusion.
Forced lexical priming in political discourse.
1. Introduction.
2. Political press briefings.
2.1 Transdiscoursal intertextuality.
3. Lexical priming in UK party politics.
3.1 Praise and blame: Forcing evaluations.
3.2 Delivering good things and doing the right thing.
3.3 Labelling the politics of others.
3.4 'NHS, the envy of the world': A zombie priming, refusing to die.
3.5 Transdiscoursal reactions: Resistant readings and reflexive commenting.
3.6 Uptake of a forced priming with reversal of evaluation.
4. Conclusions.
4.1 Keywords in learner Finnish.
4.2 The case of kello: A learner Finnish keyword or a genre-specific item?.
4.3 Kello as a phraseological unit.
4.3.1 Morphological priming in time expressions.
4.3.2 Collocates and n-grams of kello.
4.3.3 Semantic priming of kello.
5. Conclusions.
References.
Concordancing lexical primings.
1. Introduction.
2. Developing learner-friendly design criteria for The Prime Machine.
2.1 Claim 1: The design should help language learners explore differences between words and phrases.
2.2 Claim 2: The design of the display for concordance lines should help language learners notice textual colligation, co-text and contexts.
2.3 Claim 3: The design should help language learners notice features in the patterning of words and phrases.
3. Further work and concluding comments.
List of Corpora.
References.
Index.
5.2 Implications for future metaphor research.
References.
Teaching near-synonyms more effectivelyA case study of "happy" words in Mandarin Chinese.
1. Introduction.
2. Background of the study.
2.1 Use of corpora in second/foreign language teaching.
2.2 The expansion and problems of Mandarin Chinese teaching.
2.3 Corpus approaches to synonyms and lexical priming.
3. Setting up the study.
4. Purpose and Methodology of the study.
5. Results and discussion.
5.1 Chinese grammatical terms.
5.2 Collocation and semantic association.
5.3 Colligation.
6. Conclusion.
7. Limitations and future research.
Acknowledgements.
References.
Lexical priming and register variation.
1. Introduction.
2. Method.
3. Dimensions of collocation in American English.
3.1 Dimension 1: Literate discourse.
3.2 Dimension 2: Oral discourse.
3.4 Dimension 4: Colloquial and informal language use.
3.5 Dimension 5: Organizations and the government.
3.6 Dimension 6: Politics and current affairs.
3.7 Dimension 7: Feelings and emotions.
3.8 Dimension 8: Cooking.
3.9 Dimension 9: Education research.
4. Assigning collocations to register categories based on their MD profile.
5. Conclusion.
Acknowledgements.
References.
Appendix.
Table A1: Factor loadings.
Factor 1.
Factor 2.
Factor 3.
Factor 4.
Factor 5.
Factor 6.
Factor 7.
Factor 8.
Factor 9.
Colligational effects of collocation.
1. Introduction and research questions.
2. Methodology.
3. Results and analysis.
4. Discussion and conclusions.
Acknowledgements.
References.
Lexical and morphological priming.
1. Introduction.
2. Priming, phraseology and learner language.
2.1 Lexical priming and language learning.
2.2 Morphological priming.
3. Methodology and data.
3.1 Corpus-driven approach and keywords.
3.2 Data.
4. Results.
Can lexical priming be detected in conversation turn-taking strategies?.
1. Introduction.
2. Theoretical background.
2.1 The pragmatics of turn taking.
2.2 Hoey's lexical priming.
3. Data and corpus analysis.
3.1 Previous investigations in the light of the lexical priming theory.
3.2 Corpora and method.
4. Comparing monologues with dialogues.
4.1 Keywords.
4.2 Keywords in positional context.
4.3 Preferred and dispreferred items for speakers and respondents in conversations.
4.3.1 Turn-initial items.
4.3.2 Turn-final items.
4.3.3 Alignment between speaker's turns.
5. Discussion and conclusion.
Lexical priming and the selection and sequencing of synonyms.
1. Introduction.
1.1 Semantic priming.
1.2 Lexical priming.
2. The functions of synonyms.
2.1 Collocation and colligation.
2.2 Avoiding repetition.
3. Sequencing of synonyms: Use of the most frequent synonym first.
3.1 Introduction.
3.2 The frequency effect and spreading activation.
3.3 The tsunami corpus.
3.4 Other corpora and software used.
3.5 Categorizing.
3.6 The selection of candidate synonyms.
3.7 Findings from the tsunami corpus.
3.8 Probability measurement.
3.8.1 One-tailed binomial test.
3.8.2 Results of one-tailed binomial distribution test.
3.8.3 Pragmatic association.
4. Conclusion.
References.
Software.
Lexical priming and metaphor.
Evidence of nesting in metaphoric language.
1. Introduction.
2. Theoretical background.
2.1 Metaphor, creativity and corpus linguistics.
2.2 Lexical priming and the Drinking Problem Hypothesis.
2.3 Lexical priming and nesting.
3. Methodology.
3.1 The corpus.
3.2 The metaphor identification process.
4. The study.
4.1 Grew more and more.
4.2 Grew less and less.
4.3 'Grew'{u202F}+{u202F}comparative.
5. Conclusions.
5.1 Summary of findings.