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Part of
Applications of Pattern-driven Methods in Corpus Linguistics
Edited by Joanna Kopaczyk and Jukka Tyrkkö
[Studies in Corpus Linguistics 82] 2018
► pp. 311–311

Index

A

  • academic discourse 5, 134, 136, 141, 164, 189, 191, 193, 197, 208–210, 253
  • academic writingsee academic discourse
  • acts of parliament 159, 161, 165
  • adjusted frequency 65, 89, 91

B

  • bi-gram 25, 32–34, 44
  • binomials 18, 164, 168, 170–171, 174, 180–182
  • blog discourse 8–9, 213–250, 251–272, 277–279, 281–285, 288, 294, 297–304

C

  • clustering 9, 269, 277, 279, 290, 292–295, 297–298
  • collocation 6, 15–26, 28, 31, 37, 39, 40–42, 45, 49, 60, 62, 93–94, 99, 108, 111, 124
  • communicative purpose 112, 208–209, 251, 271–272
  • competence 3, 51
  • computational linguistics2
  • computer-mediated communicationsee Internet English
  • CMCsee Internet English
  • conc-gram4
  • corpora
    • British National Corpus (BNC) 7, 22–51, 65, 109, 113–116, 123–125, 257, 285
    • Corpus of Contemporary American English (COCA) 139–140
    • Corpus of Early Modern English Statutes 8, 161, 165, 174, 180, 183
    • Corpus of English Essays Written by Asian University Students (CEEAUS) 22–23, 36–38
    • Corpus of Global Web-based English (GloWbE) 252, 277–288, 293, 296, 303
    • Corpus of Judicial Opinions (American Law Corpus) 131, 138, 140–141, 143
    • Drug DDI Corpus 65–76
    • enTenTen corpus86
    • Google Books 7, 81, 84–88, 91, 94, 98
    • Hansard Corpus101
    • ICE corpora 22, 296–298
    • Japanese Learner English Corpus (JLE) 22, 31, 35–36, 43, 46–49
    • Sassari Newspaper Article corpus 107, 112–113
    • New Scientist Corpus 150–151
    • Westbury Lab Wikipedia Corpus 194–209
    • British Academic Written English (BAWE) corpus 195–197, 201–207, 209
    • Swiss German Corpus5
  • corpus-based 2–5, 7, 10, 81, 112, 131, 141, 154–155, 160, 258, 296
  • corpus-driven 2–7, 10, 57–59, 63, 69, 76, 82, 102, 107, 131, 133, 141, 155, 159–160, 191, 196, 252, 278–279, 283, 285–286, 290, 296–297, 305
  • corpus linguistics 1–4, 58, 81, 83, 108, 111, 131, 214, 231
  • coverage 7, 39–41, 45, 65–67

D

  • data-drivensee corpus-driven
  • diachronicsee historical linguistics
  • disciplinesee disciplinary discourse
  • disciplinary discourse 3, 5, 8, 70, 134, 136–137, 154, 189, 191, 193–201, 205, 208, 256, 286
  • discourse function 28, 71–73, 251, 258, 260, 262
  • dispersion 91, 161, 166–167, 259–260, 295
  • distribution 16, 25, 34–36, 39, 43–44, 57–61, 67–69, 75–76, 94, 131, 140, 143, 150, 159–180, 185, 224, 253, 259–260, 263–264, 268–269, 277, 279, 285–290, 296–297, 304
  • drug-drug interactions 57, 59, 68–70, 74–76
  • dynamic model (Scheider)281

E

  • Early English Books Online (EEBO) 101, 165
  • Early Modern English 82, 87, 159, 163
  • ellipsis 168, 183
  • email 8, 213–219, 221–223, 225–227, 236–237, 258, 290
  • English for Academic Purposes (EAP) 5, 190, 192, 209
  • evaluation 7–8, 37, 68, 70, 74, 112, 114, 117–121, 123, 131–139, 143–151, 153–156
  • expert performance 8, 191, 193, 200

F

  • formula, phraseological 125, 160, 162, 168, 170, 173–174, 176, 182, 184
  • formula, statistical 90, 92, 124
  • formulaicity 6, 8,15–17, 19–22, 42, 61, 65, 126, 134, 163, 214, 277
  • frequency 2, 4–7, 9, 17–40, 44, 49, 58, 60, 62–73, 75–76, 83, 85–95, 98–102, 109, 111–116, 124, 126, 139–140, 145, 149, 155, 159–161, 163, 166–168, 170, 172, 174, 180, 189, 191, 196–197, 200, 201, 208, 213, 223–226, 231–236, 253, 259–279, 285–298, 300, 303
  • frequency thresholdsee threshold
  • function

G

  • genre 5–9, 15, 20, 22–28, 33–36, 44, 49–51, 57, 59–62, 65, 67, 74–76, 84, 101, 132, 134, 138, 143, 155–156, 159, 161–164, 172, 182–185, 189–209, 213–219, 221–223, 230–237, 251–257, 281–284, 304–305
  • Gephisee visualisation
  • GloWbEsee Corpus of Global Web-based Englishes
  • Google Ngram 85, 87–88, 95, 102
  • grammar 5, 31, 111, 134–135, 139
  • grammatical categorysee grammatical structure
  • grammatical pattern 3, 111, 135, 139, 251
  • grammatical structure 7–8, 136, 159–166, 168–174, 178–183, 268–269

H

  • historical linguistics 1, 7–8, 81, 83–87, 159, 161, 165–168, 180, 182, 184

I

  • idiom principle 6, 15–16, 19–22, 42–44, 49–51, 232, 244
  • information science2
  • information theory 2, 6, 15, 19, 24–25, 32, 34
  • Internet English 6, 9, 217, 253, 255, 279, 303–304

J

  • Jaccard coefficent 277, 279, 290–292
  • judicial discoursesee legal discourse
  • judicial opinionsee legal discourse

K

  • knowledge-based2

L

  • language models 15, 22
  • language processing 5, 15, 20, 21, 36, 42–48, 51, 58, 111
  • language production 21, 50
  • language units 57–58, 63
  • layout 159–160, 168, 170, 174, 178, 182–184, 294
  • learner language 5–6, 15, 17–20, 22–23, 31–42, 46–51, 61, 124, 208
  • legal discourse 5, 7–8, 59, 101, 122, 131–144, 150–156, 159, 160–176, 181–184, 213–214, 218, 221–237, 253, 286
  • lexical bundle 4–9, 15–19, 30–33, 57–71, 73–76, 81, 86, 93, 108, 135, 159–170, 172, 175, 180, 184, 190–209, 213–237, 251–254, 258–272, 285–286
  • lexical patternsee n-gram
  • lexical clustersee n-gram
  • lexical variation5
  • lexico-grammatical sequence 8, 45, 214, 217, 224, 234, 252–262, 271, 279, 285, 297
  • lexicon 16, 28, 32, 57, 62–63, 82–83, 86, 101
  • Linear Unit Grammar 4, 32
  • linguistic data 1, 84
  • LL-statisticsee Log-likelihood statistic
  • Log likelihood statistic 17, 60, 61

M

  • machine translation5
  • marketing 8–9, 213–237
  • mega corpus 2, 286
  • lexical mortality 81, 91, 98
  • MI scoresee Mutual Information
  • multi-dimensional analysis 252, 255, 257
  • multi-word unit 5, 7, 16, 18–19, 27–32, 37, 45, 58–64, 67, 84–86, 92–93, 99, 102, 107–110, 214, 223
  • Mutual Information score 4, 17–18, 20, 24, 28, 60–62, 65, 93–94, 96, 99

N

  • native speaker 5–7, 15–17, 20–23, 33, 35–42, 47–48, 59, 86, 281–282, 286
  • newspaper discourse 7, 107, 112–113, 125, 128, 213, 258, 271
  • n-gram 4, 7, 21, 35, 44, 64–66, 81, 85, 87, 94, 108–109, 124–125, 135, 283–291, 297–298

O

  • O/E-score 18, 24–28
  • obsolescence 7, 81–83, 85–87, 89–93, 98, 102
  • Obsolescence Index90
  • obsoletesee obsolescence
  • OCRsee Optical Character Recognition
  • online languagesee Internet English
  • Optical Character Recognition 84, 89, 91, 93
  • orality 5–6, 175

P

  • Part-of-Speech Tagging 6, 42, 45, 107, 116
  • pattern4
  • pattern-driven 1–2, 4–8, 9–10, 278, 284, 286, 300, 303
  • pattern grammar 3, 111
  • performance 3, 17, 46, 51, 144, 191
  • pharmaceutical discourse 5, 7, 57, 59, 74, 76
  • phrase frame 4, 109, 152–153
  • phraseology 7, 58, 107, 118–119, 121, 124–125, 131, 134, 151, 252, 254
  • pragmatics 5, 37, 58, 62, 111, 118, 125, 254, 283
  • proposition 7–8, 131–134, 136–137, 146–155, 260
  • psycholinguistics 4–5, 16–18, 22, 31, 34, 48, 50–52, 60, 62, 192
  • political discourse5
  • POS-gram 4, 7, 107, 109–118, 120, 121–126
  • POS-taggingsee part-of-speech tagging

R

  • recurrent word chainsee n-gram
  • referential bundle 8, 62, 70, 74, 108, 125, 161, 163–164, 175–178, 180–183, 196
  • referential expression 29–30, 163, 196, 232, 253, 260–262, 264–268, 270–271
  • register 4, 10, 19, 29–30, 34, 59–62, 65, 69, 107–109, 112, 114, 123, 125–126, 154, 161–162, 172, 182, 223, 251–272, 285–286
  • research writing 8, 199, 202–203, 207–208

S

  • sampling 1, 7,67–68, 70–75, 288, 298
  • schema 118–119, 121
  • semantic sequence 8, 131–135, 147, 153–156
  • significancesee statistical significance
  • skipgram 4, 108, 111, 135
  • spelling 97, 100, 102, 167
  • stability 5–6
  • standardisation 161, 167, 169, 281
  • statistical significance 1–2, 7, 18, 22–23, 58, 60–61, 107, 112, 114–116, 125–126, 192, 277
  • status (epistemic) 132–133, 136–137, 140–141, 147, 150–155
  • stratified samplingsee sampling
  • structural pattern7
  • student writing 5–6, 8
  • surprisal 6, 15, 18–20, 22, 32–36, 42, 44, 49–51
  • syntax principle 6, 20, 45
  • systematic samplingsee sampling

T

  • T-score 6, 17–18, 24, 28–31
  • textual recurrence 131, 133
  • threshold 3, 60, 62, 64, 67, 69, 75–76, 86, 89, 93–94, 124, 161, 166, 168, 171, 192, 286, 291
  • transitional probability7
  • trigram 7, 32–36, 81, 85, 93–96, 99–100

U

  • uniform information density 15, 33, 50
  • utilitarian text 6–7, 286

V

  • visualisation 9, 39, 232, 277, 279, 288, 290, 292, 294, 295, 299–300

W

  • Wikipedia 8, 189–194, 196–199, 202–203, 205–209
  • word clustersee multi-word unit
  • World Englishes 9, 277–282, 284, 286, 292, 303

Z

  • Zipf's law 33, 38–40, 286–287