Literary detective work on the computer:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam [u.a.]
Benjamins
2014
|
| Schriftenreihe: | Natural language processing
12 |
| Schlagwörter: | |
| Links: | http://scans.hebis.de/HEBCGI/show.pl?34084083_toc.pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027357628&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | X, 283 S. Ill., graph. Darst. |
| ISBN: | 9027249997 9789027249999 9789027270139 |
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Datensatz im Suchindex
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|---|---|
| adam_text | Literary Detective Work
on the Computer
Michael P Oakes
University of Wolverhampton
John Benjamins Publishing Company
Amsterdam / Philadelphia
Table of contents
Preface
CHAPTER 1
Author identification
1 Introduction x
2 Feature selection 5
2 1 Evaluation of feature sets for authorship attribution 8
3 Inter-textual distances 11
3 1 Manhattan distance and Euclidean distance 12
3 2 Labbe and Labbes measure 14
3 3 Chi-squared distance 15
3 4 The cosine similarity measure 16
3 5 Kullback-Leibler Divergence (KLD) 18
3 6 Burrows Delta 18
3 7 Evaluation of feature-based measures for inter-textual distance
3 8 Inter-textual distance by semantic similarity 26
3 9 Stemmatology as a measure of inter-textual distance 28
4 Clustering techniques 30
4 1 Introduction to factor analysis 31
4 2 Matrix algebra 35
4 3 Use of matrix algebra for PCA 38
4 4 PCA case studies 44
4 5 Correspondence analysis 45
5 Comparisons of classifiers 47
6 Other tasks related to authorship 50
6 1 Stylochronometry 50
6 2 Affect dictionaries and psychological profiling 53
6 3 Evaluation of author profiling 58
7 Conclusion 58
vi Literary Detective Work on the Computer
CHAPTER 2
Plagiarism and spam filtering 59
1 Introduction 59
2 Plagiarism detection software 62
2 1 Collusion and plagiarism, external and intrinsic 63
2 2 Preprocessing of corpora and feature extraction 63
2 3 Sequence comparison and exact match 64
2 4 Source-suspicious document similarity measures 65
2 5 Fingerprinting 66
2 6 Language models 67
2 7 Natural language processing 68
2 8 Intrinsic plagiarism detection 70
2 9 Plagiarism of program code 73
2 10 Distance between translated and original text 74
2 11 Direction of plagiarism 76
2 12 The search engine-based approach used at PAN-13 78
2 13 Case study 1: Hidden influences from printed sources
in the Gaelic tales of Duncan and Neil MacDonald 81
2 14 Case study 2: General George Pickett and related writings 83
2 15 Evaluation methods 84
2 16 Conclusion 85
3 Spam filters 86
3 1 Content-based techniques 87
3 2 Building a labeled corpus for training 87
3 3 Exact matching techniques 88
3 4 Rule-based methods 89
3 5 Machine learning 90
3 6 Unsupervised machine learning approaches 92
3 7 Other spam-filtering problems 93
3 8 Evaluation of spam filters 94
3 9 Non-linguistic techniques 94
3 10 Conclusion 97
4 Recommendations for further reading 98
CHAPTER 3
Computer studies of Shakespearean authorship 99
1 Introduction 99
2 Shakespeare, Wilkins and Pericles 101
2 1 Correspondence analysis for Pericles and related texts 105
3 Shakespeare, Fletcher and The Two Noble Kinsmen 108
4 King John 110
Table of contents VII
5 The Raigne of King Edward III 111
5 1 Neural networks in stylometry 111
5 2 Cusum charts in stylometry 113
5 3 Burrows Zeta and Iota 116
6 Hand D in Sir Thomas More 118
6 1 Elliott, Valenza and the Earl of Oxford 118
6 2 Elliott and Valenza: Hand D 121
6 3 Bayesian approach to questions of Shakespearian authorship 122
6 4 Bayesian analysis of Shakespeare s second person pronouns 127
6 5 Vocabulary differences, LDA and the authorship of Hand D 130
6 6 Hand D: Conclusions 131
7 The three parts of Henry VI 132
8 Timon of Athens 132
9 The Puritan and A Yorkshire Tragedy 133
10 Arden of Faversham 134
11 Estimation of the extent of Shakespeare s vocabulary
and the authorship of the Taylor poem 136
12 The chronology of Shakespeare 141
13 Conclusion 147
CHAPTER 4
Stylometric analysis of religious texts 149
1 Introduction 149
1 1 Overview of the New Testament by correspondence analysis 151
12Q 153
1 3 Luke and Acts 169
1 4 Recent approaches to New Testament stylometry 171
1 5 The Pauline Epistles 175
1 6 Hebrews 188
1 7 The Signs Gospel 188
2 Stylometric analysis of the Book of Mormon 190
3 Stylometric studies of the Qu ran 198
4 Conclusion 206
CHAPTER 5
Computers and decipherment 207
1 Introduction 207
1 1 Differences between cryptography and decipherment 208
1 2 Cryptological techniques for automatic language recognition 209
1 3 Dictionary approaches to language recognition 212
1 4 Sinkov s test 212
VIII Literary Detective Work on the Computer
1 5 Index of coincidence 213
1 6 The log-likelihood ratio 214
1 7 The chi-squared test statistic 215
1 8 Entropy of language 215
1 9 Zipf s Law and Heaps Law coefficients 218
1 10 Modal token length 219
1 11 Autocorrelation analysis 220
1 12 Vowel identification 221
2 Rongorongo 224
2 1 History of Rongorongo 224
2 2 Characteristics of Rongorongo 226
2 3 Obstacles to decipherment 227
2 4 Encoding of Rongorongo symbols 227
2 5 The Mamari lunar calendar 228
2 6 Basic statistics of the Rongorongo corpus 228
2 7 Alignment of the Rongorongo corpus 229
28A concordance for Rongorongo 231
2 9 Collocations and collostructions 233
2 10 Classification by genre 234
2 11 Vocabulary richness 237
2 12 Podzniakov s approach to matching frequency curves 241
3 The Indus Valley texts 243
3 1 Why decipherment of the Indus texts is difficult 243
3 2 Are the Indus texts writing? 244
3 3 Other evidence for the Indus Script being writing 248
3 4 Determining the order of the Markov model 248
3 5 Missing symbols 249
3 6 Text segmentation and the log-likelihood measure 249
3 7 Network analysis of the Indus Signs 251
4 Linear A 252
5 The Phaistos disk 255
6 Iron Age Pictish symbols 256
7 Mayan glyphs 256
8 Conclusion 257
References 259
Index 281
|
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| id | DE-604.BV041913981 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T16:57:42Z |
| institution | BVB |
| isbn | 9027249997 9789027249999 9789027270139 |
| language | English |
| lccn | 2014007366 |
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| publisher | Benjamins |
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| series | Natural language processing |
| series2 | Natural language processing |
| spellingShingle | Oakes, Michael P. Literary detective work on the computer Natural language processing Computerlinguistik (DE-588)4035843-4 gnd Plagiat (DE-588)4046196-8 gnd Literatur (DE-588)4035964-5 gnd Sprachanalyse (DE-588)4129916-4 gnd Autorschaft (DE-588)4130545-0 gnd |
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| title | Literary detective work on the computer |
| title_auth | Literary detective work on the computer |
| title_exact_search | Literary detective work on the computer |
| title_full | Literary detective work on the computer Michael P. Oakes |
| title_fullStr | Literary detective work on the computer Michael P. Oakes |
| title_full_unstemmed | Literary detective work on the computer Michael P. Oakes |
| title_short | Literary detective work on the computer |
| title_sort | literary detective work on the computer |
| topic | Computerlinguistik (DE-588)4035843-4 gnd Plagiat (DE-588)4046196-8 gnd Literatur (DE-588)4035964-5 gnd Sprachanalyse (DE-588)4129916-4 gnd Autorschaft (DE-588)4130545-0 gnd |
| topic_facet | Computerlinguistik Plagiat Literatur Sprachanalyse Autorschaft |
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