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Applications of pattern-driven methods in corpus linguistics / edited by Joanna Kopaczyk, Jukka Tyrkkö. — 1 online resource. — (Studies in corpus linguistics, 1388-0373). — Based on a special session held at the 2014 European Society for the Study of English conference in Košice (Slovakia). — <URL:http://elib.fa.ru/ebsco/1712526.pdf>.Дата создания записи: 17.10.2017 Тематика: Corpora (Linguistics) — Congresses.; Applied linguistics — Congresses.; LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative Коллекции: EBSCO Разрешенные действия: –
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Оглавление
- Applications of Pattern-driven Methods in Corpus Linguistics
- Editorial page
- Title page
- LCC data
- Table of contents
- Acknowledgements
- 1. Present applications and future directions in pattern-driven approaches to corpus linguistics
- 1. Corpus linguistics today
- 2. Pattern-driven research into language+
- 3. Book overview
- 4. Pattern-driven linguistics: Future directions
- References
- 2. From lexical bundles to surprisal and language models
- 1. Introduction
- 2. Related research
- 3. Materials
- 4. From frequencies to collocations
- 4.1 Frequency as measure of lexical bundleness
- 4.2 Collocation measures: O/E and T-score
- 4.2.1 Method
- 4.2.2 Results
- 5. Surprisal as a measure of bundleness
- 5.1 Method
- 5.2 Results
- 5.3 Bundleness of spoken L2 compared to corrected L2
- 5.4 Bundleness of written L2 compared to L1
- 6. Collocations as non-adjacent relations in a syntactic frame
- 7. Part-of-Speech tagging model
- 7.1 Method
- 7.2 Results
- 8. Parser as a language processing model
- 8.1 Method
- 8.2 Parser performance
- 8.3 Parser model fit
- 9. Conclusions and outlook
- References
- 3. Fine-tuning lexical bundles
- 1. Introduction
- 2. Methodology: What we know about and usually do with lexical bundles
- 3. Lexical bundles approach: Is there any area for improvement?
- 3.1 How to deal with structurally incomplete and/or overlapping lexical bundles?
- 3.2 How to select a representative sample of bundles from a corpus?
- 4. Corpus and context: Lexical bundles describing drug-drug interactions
- 4.1 Corpus description
- 4.2 Procedure and analysis
- 4.3 Results
- 5. Discussion of findings
- 6. Conclusions
- Acknowledgements
- References
- 4. Lexical obsolescence and loss in English: 1700–2000
- 1. Introduction
- 1.1 Research questions
- 1.2 Theoretical problems and practical definitions
- 2. The corpus and its problems
- 2.1 The n-grams
- 3. Methodology
- 3.1 Data requirements
- 3.2 Word obsolescence
- 3.3 Pruning and sorting the results
- 3.4 Obsolescence of multi-word expressions
- 3.5 Technicalities
- 4. Analysis and discussion of the results
- 4.1 Unigrams
- 4.2 Trigrams
- 4.3 Future research
- 5. Conclusions
- References
- Author queries
- 1. Introduction
- 5. Constance and variability
- 1. Introduction
- 2. Materials and methods
- 3. Results and discussion
- 3.1 Travel PoS-grams
- 3.2 Crime PoS-grams
- 3.3 Obituaries PoS-grams
- 4. Conclusions
- References
- Appendix B. UCREL CLAWS5 Tagset retrieved from [http://ucrel.lancs.ac.uk/claws5tags.html]
- 6. Between corpus-based and corpus-driven approaches to textual recurrence
- 1. Introduction
- 2. N that pattern, evaluation and status
- 3. Corpus and context
- 4. Methodology
- 5. Discussion of findings
- 5.1 The phrase argument that and its functions
- Anchor 146
- 6. Conclusion and outlook
- References
- 7. Lexical bundles in Early Modern and Present-day English Acts of Parliament
- 1. Introduction
- 2. The definition of lexical bundles
- 2.1 Bundles, legal language and genre conventions
- 2.2 Grammatical structure and the functions of lexical bundles
- 3. The Corpus of Early Modern English Statutes and Acts of Parliament from 2015
- 4. Method of analysis
- 5. Distribution of lexical bundles in the historical and contemporary acts
- 6. Distribution of lexical bundles across different grammatical categories
- 7. The functions of bundles in legal writing
- 8. Diachronic development of lexical bundles in the early modern acts
- 9. Discussion and conclusion
- Corpora and tools
- References
- 8. Lexical bundles in Wikipedia articles and related texts
- 1. Introduction
- 2. Methodology
- 3. Corpus and context
- 4. Data preparation and analysis
- 5. Discussion of findings
- 5.1 Frequency of bundles across genres and disciplines
- 5.2 Disciplinary variation in Wikipedia articles
- 5.3 Genre-based variation within disciplines
- 5.3.1 Economics
- 5.3.2 Medicine
- 5.3.3 Literary criticism
- 6. Conclusions
- Acknowledgements
- References
- Author queries
- 9. Join us for this
- 1. Introduction
- 2. Background
- 2.1 Marketing
- 2.2 Blogging
- 3. Material
- 4. Methods
- 5. Data and analysis
- 6. Discussion
- 7. Conclusion
- Primary sources
- References
- Appendix 1
- Appendix 2
- Appendix 3
- 10. I don’t want to and don’t get me wrong
- 1. Introduction
- 2. Background: The language and discourse of blogs
- 3. Methods
- 3.1 Corpus for analysis
- 3.2 Identification of lexical bundles
- Anchor 178
- 4. Lexical bundles in American blogs
- 4.1 Functional characteristics of lexical bundles
- 4.2 Person reference in lexical bundles
- 4.3 Structural characteristics of lexical bundles
- 5. Discussion and conclusion
- Acknowledgements
- References
- 11. Blogging around the world
- 1. Introduction
- 2. Background
- 2.1 World Englishes vs Online English(es)
- 2.1.1 Kachru’s (1982) concentric circles
- 2.1.2 Schneider’s (2007) Dynamic-Evolutionary model
- 2.1.3 Mair’s (2013) World System of Englishes
- 2.2 Blogs as an Internet genre
- 2.1 World Englishes vs Online English(es)
- 3. Material
- 3.1 The GloWbE corpus
- 3.2 Retrieving patterns: N-grams and lexical bundles
- 4. Methods and findings
- 4.1 Finding similarities
- 4.1.1 Regional binary similarities: Jaccard coefficient
- 4.1.2 Hierarchical clustering
- 4.1.3 Digging deeper, exploring further: Network visualisation
- 4.2 N-grams in World Englishes
- 4.2.1 Corpus inquiries into linguistic areas
- 4.2.2 Universal and localised types
- 4.2.3 Zooming in on the Inner Circle
- 4.1 Finding similarities
- 5. Back to World Englishes and Online Englishes
- References
- Author queries
- Index
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