Quantitative corpus linguistics with R: a practical introduction
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Routledge
2009
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | VII, 248 S. graph. Darst. |
| ISBN: | 9780415962704 9780415962711 |
Internformat
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| 100 | 1 | |a Gries, Stefan Thomas |d 1970- |e Verfasser |0 (DE-588)131571222 |4 aut | |
| 245 | 1 | 0 | |a Quantitative corpus linguistics with R |b a practical introduction |c Stefan Th. Gries |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a New York [u.a.] |b Routledge |c 2009 | |
| 300 | |a VII, 248 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Corpus (Linguistique) | |
| 650 | 4 | |a Linguistique - Méthodes statistiques | |
| 650 | 4 | |a Linguistique informatique | |
| 650 | 4 | |a Linguistik | |
| 650 | 4 | |a Computational linguistics | |
| 650 | 4 | |a Corpora (Linguistics) | |
| 650 | 4 | |a Linguistics |x Statistical methods | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-016384137 | |
Datensatz im Suchindex
| _version_ | 1807956065789149184 |
|---|---|
| adam_text |
Contents
Acknowledgments
viii
1.
Introduction
1
1.1
Why Another Introduction to Corpus Linguistics?
1
1.2
Outline of the Book
4
1.3
Recommendation for Instructors
5
2.
The Three Central Corpus-linguistic Methods
7
2.1
Corpora
7
2.1.1
What is a Corpus?
7
2.1.2
What Kinds of Corpora are There?
9
2.2
Frequency Lists
12
2.3
Lexical Co-occurrence: Collocations
14
2.4
(Lexico-)Grammatical Co-occurrence: Concordances
16
3.
An Introduction to
R
19
3.1
A Few Central Notions: Data Structures, Functions, and Arguments
23
3.2
Vectors
28
3.2.1
Basics
28
3.2.2
Loading Vectors
32
3.2.3
Accessing and Processing (Parts of) Vectors
35
3.2.4
Saving Vectors
42
3.3
Factors
43
3.4
Data Frames
44
3.4.1
Generating Data Frames
44
3.4.2
Loading and Saving Data Frames
46
3.4.3
Accessing and Processing (Parts of) Data Frames
48
3.5
Lists
53
3.6
Elementary Programming Functions
59
3.6.1
Conditional Expressions
59
3.6.2
Loops
60
3.6.3
Rules of Programming
64
3.7
Character/String Processing
68
3.7.1
Getting Information from and Accessing (Vectors of)
Character Strings
69
3.7.2
Elementary Ways to Change (Vectors of) Character Strings
70
3.7.3
Merging and Splitting (Vectors of) Character Strings without
Regular Expressions
70
3.7.4
Searching and Replacing without Regular Expressions
72
3.7.5
Searching and Replacing with Regular Expressions
79
vi
· Contents
3.7.6
Merging and Splitting (Vectors of) Character Strings with Regular
Expressions
96
3.8
File and Directory Operations
99
4.
Using
R
in Corpus Linguistics
105
4.1
Frequency Lists
106
4.1.1
A Frequency List of an Unannotated Corpus
106
4.1.2
A Reverse Frequency List of an Unannotated Corpus
110
4.1.3
A Frequency List of an Annotated Corpus
112
4.1.4
A Frequency List of Tag-word Sequences from an
Annotated Corpus
114
4.1.5
A Frequency List of Word Pairs from an Annotated Corpus
118
4.1.6
A Frequency List of an Annotated Corpus (with One Word Per
Line)
124
4.1.7
A Frequency List of Word Pairs of an Annotated Corpus (with
One Word Per Line)
126
4.2
Concordances
127
4.2.1
A Concordance of an Unannotated Text File
127
4.2.2
A Simple Concordance from Files of a POS-tagged (SGML) Corpus
135
4.2.3
More Complex Concordances from Files of a POS-tagged (SGML)
Corpus
141
4.2.4
A Lemma-based Concordance from Files of a POS-tagged and
Lemmatized (XML) Corpus
146
4.3
Collocations
149
4.4
Excursus
1 :
Processing Multi-tiered Corpora
156
4.5
Excursus
2:
Unicode
166
4.5.1
Frequency Lists
167
4.5.2
Concordancing
169
5.
Some Statistics for Corpus Linguistics
173
5.1
Introduction to Statistical Thinking
174
5.1.1
Variables and their Roles in an Analysis
174
5.1.2
Variables and their Information Value
174
5.1.3
Hypotheses: Formulation and Operationalization
176
5.1.4
Data Analysis
182
5.1.5
Hypothesis (and Significance) Testing
183
5.2
Categorical Dependent Variables
189
5.2.1
One Categorical Dependent Variable, No Independent Variable
189
5.2.2
One Categorical Dependent Variable, One Categorical Independent
Variable
192
5.2.3
One Categorical Dependent Variable,
2+
Independent Variables
200
5.3
Interval/Ratio-scaled Dependent Variables
201
5.3.1
Descriptive Statistics for Interval/Ratio-scaled Dependent
Variables
201
5.3.2
One Interval/Ratio-scaled Dependent Variable, One Categorical
Independent Variable
205
5.3.3
One Interval/Ratio-scaled Dependent Variable, One
Interval/Ratio-scaled Independent Variable
211
5.3.4
One Interval/Ratio-scaled Dependent Variable,
2+
Independent
Variables
214
5.4
Customizing Statistical Plots
215
5.5
Reporting Results
215
Contents ·
vii
6.
Case Studies
and Pointers to Other Applications
219
6.1
Introduction to the Case Studies
219
6.2
Some Pointers to Further Applications
220
Appendix
225
References
229
Endnotes 237
Index
243 |
| adam_txt |
Contents
Acknowledgments
viii
1.
Introduction
1
1.1
Why Another Introduction to Corpus Linguistics?
1
1.2
Outline of the Book
4
1.3
Recommendation for Instructors
5
2.
The Three Central Corpus-linguistic Methods
7
2.1
Corpora
7
2.1.1
What is a Corpus?
7
2.1.2
What Kinds of Corpora are There?
9
2.2
Frequency Lists
12
2.3
Lexical Co-occurrence: Collocations
14
2.4
(Lexico-)Grammatical Co-occurrence: Concordances
16
3.
An Introduction to
R
19
3.1
A Few Central Notions: Data Structures, Functions, and Arguments
23
3.2
Vectors
28
3.2.1
Basics
28
3.2.2
Loading Vectors
32
3.2.3
Accessing and Processing (Parts of) Vectors
35
3.2.4
Saving Vectors
42
3.3
Factors
43
3.4
Data Frames
44
3.4.1
Generating Data Frames
44
3.4.2
Loading and Saving Data Frames
46
3.4.3
Accessing and Processing (Parts of) Data Frames
48
3.5
Lists
53
3.6
Elementary Programming Functions
59
3.6.1
Conditional Expressions
59
3.6.2
Loops
60
3.6.3
Rules of Programming
64
3.7
Character/String Processing
68
3.7.1
Getting Information from and Accessing (Vectors of)
Character Strings
69
3.7.2
Elementary Ways to Change (Vectors of) Character Strings
70
3.7.3
Merging and Splitting (Vectors of) Character Strings without
Regular Expressions
70
3.7.4
Searching and Replacing without Regular Expressions
72
3.7.5
Searching and Replacing with Regular Expressions
79
vi
· Contents
3.7.6
Merging and Splitting (Vectors of) Character Strings with Regular
Expressions
96
3.8
File and Directory Operations
99
4.
Using
R
in Corpus Linguistics
105
4.1
Frequency Lists
106
4.1.1
A Frequency List of an Unannotated Corpus
106
4.1.2
A Reverse Frequency List of an Unannotated Corpus
110
4.1.3
A Frequency List of an Annotated Corpus
112
4.1.4
A Frequency List of Tag-word Sequences from an
Annotated Corpus
114
4.1.5
A Frequency List of Word Pairs from an Annotated Corpus
118
4.1.6
A Frequency List of an Annotated Corpus (with One Word Per
Line)
124
4.1.7
A Frequency List of Word Pairs of an Annotated Corpus (with
One Word Per Line)
126
4.2
Concordances
127
4.2.1
A Concordance of an Unannotated Text File
127
4.2.2
A Simple Concordance from Files of a POS-tagged (SGML) Corpus
135
4.2.3
More Complex Concordances from Files of a POS-tagged (SGML)
Corpus
141
4.2.4
A Lemma-based Concordance from Files of a POS-tagged and
Lemmatized (XML) Corpus
146
4.3
Collocations
149
4.4
Excursus
1 :
Processing Multi-tiered Corpora
156
4.5
Excursus
2:
Unicode
166
4.5.1
Frequency Lists
167
4.5.2
Concordancing
169
5.
Some Statistics for Corpus Linguistics
173
5.1
Introduction to Statistical Thinking
174
5.1.1
Variables and their Roles in an Analysis
174
5.1.2
Variables and their Information Value
174
5.1.3
Hypotheses: Formulation and Operationalization
176
5.1.4
Data Analysis
182
5.1.5
Hypothesis (and Significance) Testing
183
5.2
Categorical Dependent Variables
189
5.2.1
One Categorical Dependent Variable, No Independent Variable
189
5.2.2
One Categorical Dependent Variable, One Categorical Independent
Variable
192
5.2.3
One Categorical Dependent Variable,
2+
Independent Variables
200
5.3
Interval/Ratio-scaled Dependent Variables
201
5.3.1
Descriptive Statistics for Interval/Ratio-scaled Dependent
Variables
201
5.3.2
One Interval/Ratio-scaled Dependent Variable, One Categorical
Independent Variable
205
5.3.3
One Interval/Ratio-scaled Dependent Variable, One
Interval/Ratio-scaled Independent Variable
211
5.3.4
One Interval/Ratio-scaled Dependent Variable,
2+
Independent
Variables
214
5.4
Customizing Statistical Plots
215
5.5
Reporting Results
215
Contents ·
vii
6.
Case Studies
and Pointers to Other Applications
219
6.1
Introduction to the Case Studies
219
6.2
Some Pointers to Further Applications
220
Appendix
225
References
229
Endnotes 237
Index
243 |
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| id | DE-604.BV023197847 |
| illustrated | Illustrated |
| index_date | 2024-07-02T20:07:05Z |
| indexdate | 2024-08-21T00:47:44Z |
| institution | BVB |
| isbn | 9780415962704 9780415962711 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016384137 |
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| spelling | Gries, Stefan Thomas 1970- Verfasser (DE-588)131571222 aut Quantitative corpus linguistics with R a practical introduction Stefan Th. Gries 1. publ. New York [u.a.] Routledge 2009 VII, 248 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Corpus (Linguistique) Linguistique - Méthodes statistiques Linguistique informatique Linguistik Computational linguistics Corpora (Linguistics) Linguistics Statistical methods R Programm (DE-588)4705956-4 gnd rswk-swf Sprachstatistik (DE-588)4182534-2 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 s Sprachstatistik (DE-588)4182534-2 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Online-Ausgabe 978-0-203-88092-0 Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016384137&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gries, Stefan Thomas 1970- Quantitative corpus linguistics with R a practical introduction Corpus (Linguistique) Linguistique - Méthodes statistiques Linguistique informatique Linguistik Computational linguistics Corpora (Linguistics) Linguistics Statistical methods R Programm (DE-588)4705956-4 gnd Sprachstatistik (DE-588)4182534-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4182534-2 (DE-588)4165338-5 |
| title | Quantitative corpus linguistics with R a practical introduction |
| title_auth | Quantitative corpus linguistics with R a practical introduction |
| title_exact_search | Quantitative corpus linguistics with R a practical introduction |
| title_exact_search_txtP | Quantitative corpus linguistics with R a practical introduction |
| title_full | Quantitative corpus linguistics with R a practical introduction Stefan Th. Gries |
| title_fullStr | Quantitative corpus linguistics with R a practical introduction Stefan Th. Gries |
| title_full_unstemmed | Quantitative corpus linguistics with R a practical introduction Stefan Th. Gries |
| title_short | Quantitative corpus linguistics with R |
| title_sort | quantitative corpus linguistics with r a practical introduction |
| title_sub | a practical introduction |
| topic | Corpus (Linguistique) Linguistique - Méthodes statistiques Linguistique informatique Linguistik Computational linguistics Corpora (Linguistics) Linguistics Statistical methods R Programm (DE-588)4705956-4 gnd Sprachstatistik (DE-588)4182534-2 gnd Korpus Linguistik (DE-588)4165338-5 gnd |
| topic_facet | Corpus (Linguistique) Linguistique - Méthodes statistiques Linguistique informatique Linguistik Computational linguistics Corpora (Linguistics) Linguistics Statistical methods R Programm Sprachstatistik Korpus Linguistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016384137&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT griesstefanthomas quantitativecorpuslinguisticswithrapracticalintroduction |