In:The Academic Discourse of Mechanical Engineering: A corpus-based study into rhetorical conventions of research articles
Thi Ngoc Phuong Le, Minh Man Pham and Michael Barlow
[Studies in Corpus Linguistics 107] 2023
► pp. 315–320
Index
Published online: 3 April 2023
https://doi.org/10.1075/scl.107.index
https://doi.org/10.1075/scl.107.index
A
- abstract10–13, 30–32
- academic discourse2, 158, 167
- Ädel20, 66, 303
- adverbial163–165, 168, 170, 180, 183, 192, 201
- agricultural science10, 312
- Aktas202, 303
- aligned rank transform73, 205, 215–216, 230–231
- Allison1, 8–9, 11, 14–15, 19, 25, 28, 51, 55, 118, 133, 140, 151, 160, 313
- Álvarez de Mon y Rego202, 303
- Amirian9, 12–13, 303
- Amnuai13, 31, 313
- analytical approach38
- analytical methods38
- Andre37, 303
- Anthony2, 9–10, 25, 40, 58, 66, 92–94, 96, 152–154, 160, 303
- applied linguistics10–13, 18–19, 24, 28, 30–33, 40, 134–135, 173, 180, 185, 191, 195, 202, 238
- Arvay12, 303
- Askehave15, 303
- assignmentSee n-gram assignment
- Atkinson33, 303
- Ayers13, 30, 33, 303
B
- background 49–50, 79–80, 86, 93, 96, 99–100, 109–113, 116–118, 128–129, 133, 137–138, 140–141, 145–146, 153–156, 158–159, 207–209, 229, 239, 270–271, 277, 283, 288–289, 294, 299; see also n-gram background
- Baker20, 22, 66–68, 72, 166, 305
- Barbieri20, 66, 304
- Barlow21, 46, 303
- Basturkmen1, 9–10, 15, 19, 25, 40, 58, 118, 140, 203, 304, 311
- Becher1, 39, 304
- Bergheau37, 304
- Berkenkotter33, 135, 245, 304
- Bhatia245, 304
- Biber20–23, 33, 42, 46, 66, 68–69, 166–168, 190, 202, 304, 307, 309, 311
- Biglan39, 305
- Bizzell1, 29, 244, 305
- Brett9–10, 15, 19, 25, 151, 305
- Brezina64–65, 305, 307
- Bruce161–162, 305
- business30–31, 173, 185, 191
- Butler176, 179, 183, 305
- Byrd167, 305
C
- Candarli30, 34, 225, 305
- Cao30, 34, 305, 308
- CARS model8–9, 27, 31–32, 77
- causativeSee n-gram causative
- Çengel38, 305
- Chan309
- Charles189, 303, 305
- chemical engineering2, 9, 11, 93, 135, 140, 151
- Chen20, 22, 66–68, 72, 166, 305
- Cheng20, 22, 305
- Cimbala38, 305
- citationSee n-gram citation
- civil engineering2, 9–10, 93–95, 97–98, 111
- coding16–17, 46, 53, 55–61
- Collins168, 305, 312
- collocations21, 65
- communicative category19, 24, 51, 64, 72–73, 157–158, 216
- communicative function16, 51, 53–56, 72–73, 86, 109, 129, 146, 154, 157–158, 160–161, 197–198, 205–206, 210
- communicative purpose7, 8, 15
- community1–2, 39–40, 228; see also discourse community
- computer science9–10, 26, 93–94, 97, 134, 152
- concgrams20, 22
- Conrad21–22, 167, 304
- conservation biology31
- conventional18, 95, 98, 110, 114, 139–140, 145, 148, 154, 286–300
- conventions1–3, 9, 31, 33, 40, 194, 216, 234, 239, 241–245
- Cooper93, 152, 215, 305
- corpus2, 3, 21, 24–25, 27–28, 35, 41–46, 50, 66
- corpus design42, 44, 244
- Cortes3, 20, 22, 24, 28–29, 68, 202, 303–306
- Cotos2–3, 9–11, 16, 24–29, 42, 51, 55, 96, 110, 133–135, 140, 160, 245, 306
- Coxhead167, 305
- Crookes58, 98, 160, 306
- Csomay198, 306
- cycle17–19, 86, 97, 138, 140, 148, 154, 239
- cyclic97–98, 114, 138, 148, 158
- cyclical17–19, 27, 160
- cyclicality19, 29, 64, 98, 139, 154
- cyclicitySee cyclicality
D
- Davim306
- Davis11, 306
- Day92, 306
- de Souza-Santos37, 306
- del Saz Rubio9–10, 25, 98, 306
- description n-grams174
- disciplinary community2, 10, 198, 228
- disciplinary conventions3, 245
- disciplinary culture1, 3, 10, 29, 245
- discipline1–4, 9, 24–25, 28–31, 33–35, 39–41, 132–134, 154–157, 185, 234, 237–238
- discourse coherence7; see also academic discourse
- discourse community7, 9, 33
- discourse organisers23, 203
- dispersion66
- distribution4, 71–73, 163, 167–168, 172–174, 177–178, 184, 187–188, 190–191, 196–198, 202, 231, 233
- distributional approach7, 20
- Dixit37, 306
- Doheny-Farina1, 29, 306
- dos Santos9–10, 18, 25, 28, 157, 306
- Dudley-Evans10, 19, 158, 306, 308
- Durrant39, 306
E
- elaboration172, 183–185; see also n-gram elaboration
- Ellis21, 311–312
- embedding4–5, 17–19, 27, 29, 62, 64, 77, 86, 96, 112–114, 136–138, 148, 153–154, 157–158, 160, 203, 221, 237, 241–242, 244
- empiricist39, 195
- environmental science12, 30–31
- Eriksson118, 132, 311
- Erman20, 66, 303
- Esfandiari37, 306
- Evans10, 19, 26, 48, 158, 306, 308, 310
- experimental3–4, 14, 27–28, 33, 44, 49–51, 54, 57, 59–60, 132, 149–150, 175, 215, 221–225, 233, 240, 286–301
- experimental articles33, 221–224, 233, 240, 286, 288–293, 295–301
- experimental methods49, 222, 299, 301
- experiments37–38, 100–101, 122, 150, 225
- experts40–41, 56, 58
F
- Findlater313
- Finegan304
- Flowerdew15, 46, 202, 303, 306
- fluid mechanics36–37
- Forchini20, 307
- forestry9–10, 94, 97
- framing23, 72, 172, 191, 194–195, 203; see also n-gram framing
- Francis243, 308
- frequency3–5, 17–18, 25, 27, 29, 51, 62, 64–68, 72–74, 77, 86, 90, 92–93, 95–97, 107, 109, 113, 117, 122, 128–129, 140, 145–146, 148, 151–152, 159, 170–172, 183, 205–206, 210, 215–216, 231–232, 239, 242, 247–248, 251, 257, 264, 266, 286–301
- functional categories4, 24, 70–73, 75, 163, 172, 190–191, 196–197
- functional categorisation23
- functional headings50, 152
- functional subcategories172, 192, 194–195
- functional taxonomy23, 69, 172
G
- Gablasova65, 307
- Ge10, 13, 30, 33, 228–229, 233, 309
- genre3, 7, 9–10, 22, 29–30, 32, 44–46, 161–162, 241–242
- genre analysis7, 15, 40, 42, 244
- Gergle313
- Giner2, 313
- Grabowski20, 22, 66, 202, 307
- Granger20–21, 307
- GraphColl64–65
- Gray20, 30, 33–34, 38, 66, 167, 304, 307
- Greaves305
- Grefenstette42, 309
- Gross33, 307
H
- Hardie42, 310
- Harmon92, 307
- Harrington3, 14, 18, 20, 24, 28–29, 140, 157, 309
- Harwood30, 234, 307
- Hazarika306
- heat transfer37, 48, 69–70, 87–90, 94, 99, 106, 132, 141, 145, 156, 175, 179, 183
- Herriman168–169, 307
- Higgins313
- Hirano12, 307
- Hoey46, 243, 307, 311, 313
- Holman37, 307
- Holmes10–11, 15, 18–19, 25, 58, 140, 157, 160, 307
- Hopkins10, 19, 158, 308
- Hu30, 34, 305, 308
- Huckin33, 135, 245, 304
- Huddleston179, 308
- Huffman306
- Hunston42, 168, 243, 308
- Hyland1–3, 22–24, 29, 40, 66–69, 167–168, 172–173, 178, 183, 185, 188–191, 201–202, 241, 245, 304, 308
I
- IM[RD]48
- IM[RD]C48, 77, 79
- IMRD11, 13–14, 24, 28, 48, 152
- inferential172, 178–180, 191–192, 194–196, 202; see also n-gram inferential
- informants26, 35, 40–42, 44, 48, 53, 56–58, 75, 134–135, 155, 159–160, 214, 229; see also experts
- instrumentsSee n-gram instruments
- intra-disciplinary variation29, 73, 210, 234, 242, 244–245
- Iordanoff303
J
- Jin40, 151, 308
- Johansson304
- Jones30, 34, 225, 305
- Joseph9–10, 19, 25, 94, 97–98, 308
K
- Kanamaru310
- Kanoksilapatham2, 9–12, 14–16, 18–19, 25–28, 46, 51, 55, 58, 90, 92–95, 97–98, 110–111, 132–134, 140, 152, 308–309
- Kanté202, 309
- Kassaian303
- Khamis311
- Khany10, 12–13, 30–32, 58, 309
- Kilgarriff42, 309
- knowledge1–3, 26, 35–36, 39, 77, 79, 86, 93–94, 111, 116–117, 125, 129, 143, 153, 158–161, 173, 177, 185–186, 194–195, 201, 206, 217, 221–222, 225, 228–230, 239–240, 242–245, 277
- knowledge structures39
- Koester45–46, 309
- Kolb39, 309
- Koutsantoni1–2, 309
- Kruskal-Wallis tests73, 205, 231
- Kuhn39–40, 309
- Kuo168, 309
- Kuteeva189, 310
- Kwan10, 12, 30, 32, 309
L
- labels13–14, 26, 51, 53, 56–57,194–195
- Lam309
- Le3, 14, 18, 20, 24, 28–29, 140, 157, 309
- Leech42, 304, 309
- length3–5, 17–18, 26–27, 29, 34, 42, 46, 51, 62, 64, 66, 72–74, 77, 86, 90–91, 96, 107–108, 128, 131, 145, 147, 151, 205–206, 210, 213, 215–216, 239, 242, 247, 249, 253, 260, 265, 267, 269, 272, 280, 283, 287, 289–290, 294, 297, 300
- Lewis35–37, 313
- lexical bundles20–24, 28, 30, 67–69, 166, 168, 172, 189, 203, 225
- Li10, 13, 30, 33, 228–229, 233, 309, 312
- Lim1, 9–12, 15–16, 25, 30, 33–34, 40, 58, 94, 308–310
- Lin26, 48, 310
- linguistic correlates9, 33
- linguistic features9–13, 15, 25, 29–31, 46, 180, 198, 201, 245
- linguistic realisations9, 25, 27–28, 166, 189, 194, 198, 244
- Link28, 73, 189, 306
- Liu20, 310
- Loi12, 310
- Lu37, 306
M
- macrostructure26, 48
- Mahlberg42, 46, 243, 310–311
- Mann-Whitney U tests73–74
- Marco3, 20, 24, 28, 310
- Martín12, 310
- Maswana10–11, 14–15, 25–27, 40, 58, 92–93, 95, 97, 107, 110, 132, 134–135, 152, 154–155, 310
- mathematical model38, 89, 102–103, 124, 214, 221
- McEnery42, 305, 307, 310
- McGrath189, 310
- mechanical engineering2–5, 10–11, 24–26, 35–42, 44–45, 48–49, 51, 53, 55–56, 59, 62, 66–67, 72–73, 75, 77–79, 86, 90, 92–98, 107, 110–111, 118, 122, 128, 132–135, 137–141, 145, 151–163, 166–170, 172–173, 176, 179–180, 182, 184–185, 189, 191–192, 194–197, 201–203, 205, 213, 216, 222, 228–231, 233–234, 237–245
- mechanical systems3–4, 36–37, 40, 44, 46, 48, 50–51, 53, 59, 211, 213–217, 221, 230–231, 233, 239, 286–301
- methodological paradigms3
- MISee mutual information
- mixed articles4, 215, 221–225, 233, 240, 286–301; see also mixed methods
- mixed methods3, 33, 38, 44, 215, 221–222, 239, 288, 291–292, 296, 301
- Moreno15, 55, 149, 202, 310
- Morley203, 310
- move2–5, 7–20, 24–35, 41–42, 44, 46, 51–53, 55, 57–58, 60–66, 72–74, 79–86, 88, 90–104, 106–116, 118, 120, 122, 124–133, 136–149, 153–155, 157–162, 175–184, 186, 188, 195, 198, 201–203, 206–210, 213–217, 220–225, 227–233, 241–244, 247–265, 268–284, 286–301; see also move analysis
- move 18, 86, 90, 92–93, 96–98, 141, 145–146, 148, 153–154, 158, 160–162, 177–178, 186, 188, 198, 206–207, 209, 213, 217, 227, 230–233, 247–249, 263–265, 268–269, 282–283
- move 28, 10, 32, 79, 88, 92–97, 99, 109–114, 141, 145–146, 148, 153, 157–158, 160–162, 178–179, 202, 206–207, 209, 213–214, 221–224, 227, 229, 231–232, 247–251, 253, 263–265, 269–271, 283–284, 287–289, 300
- move 2a79, 116, 118, 128–129, 133, 136–138, 140, 153–154, 157–158, 206, 208, 221, 228, 255, 257, 260, 277–278, 294–295
- move 2b80, 118, 128–129, 132–133, 136–138, 140, 153–154, 157–158, 198, 201, 206, 208, 210, 213, 222–225, 255, 257, 260, 278, 295–296
- move 38, 16–17, 81, 88, 92, 95–98, 100, 109–114, 120, 128–129, 133, 136–140, 142, 146, 148, 153–154, 158, 160–161, 176, 178, 181–182, 184, 186, 188, 201–202, 206–209, 213, 222, 224–225, 227, 231–233, 247–251, 253, 255, 258, 261, 263–265, 269, 271, 279, 287, 289, 296
- move 482, 101, 109–114, 122, 130, 132, 136–138, 140, 143, 146, 153–154, 157–158, 160, 176, 184, 186, 202, 206–207, 209, 213, 222–225, 228–229, 231–233, 250–251, 253, 255, 258, 261, 263–264, 272, 279–281, 290, 297–298
- move 583, 102, 107, 109–114, 124, 130, 136–137, 144, 146, 148, 153–154, 157–158, 160, 175–176, 181–183, 188, 198, 201–202, 206, 208–209, 215–216, 222, 225, 229, 231, 250–251, 253, 256, 258, 261, 263–265, 273–274, 284, 290–292, 300
- move 616–17, 83, 103, 109, 112–113, 125, 130, 133, 136–140, 144, 146, 148, 153, 158, 160, 178, 180, 188, 195, 201–202, 208–209, 215, 224, 229–232, 250, 252, 254, 256, 258, 261, 263–265, 274–275, 281, 284, 292, 298, 300–301
- move 784, 104, 110–114, 126, 130, 133, 136, 144, 146, 148, 153, 155, 158, 181, 206, 208–209, 213, 215–216, 222–223, 225, 230, 250, 252, 254, 256, 259, 262–265, 275–277, 281, 284, 293–294, 298, 301
- move 885, 106, 110–112, 127, 130, 133, 136–138, 140, 153, 162, 206, 209, 216–217, 223, 250, 252, 254, 256, 259, 262, 282, 299
- move analysis2–4, 13–18, 25, 29, 51–52, 57–58, 60, 65
- move boundaries15
- Mudraya2, 311
- multi-word constructions20, 70; see also multi-word units
- multi-word units20–21, 24, 65, 67, 69, 166, 203
- multidimensional analysis28, 33
- Murphy20, 307
- Musa9–10, 25, 51, 58, 311
- mutual information21
N
- n-gram4, 20–22, 28, 51, 65–73, 75, 163, 166–178, 180–192, 188, 194–203, 201–202, 216–217, 224–225, 231, 238, 243
- n-gram assignment172, 178, 181–182, 185, 191, 195, 202–203
- n-gram background172–173, 177, 186–187, 194–195
- n-gram causative71, 172, 178, 180–181, 191, 194, 217
- n-gram citation71, 172, 186, 194
- n-gram elaboration191, 195, 202–203
- n-gram framing182, 185
- n-gram inferential178, 192, 196, 202
- n-gram instruments175, 195, 202
- n-gram objective186, 194
- n-gram procedure176, 202
- n-gram quantification175
- n-gram relation182
- Nelson42, 44, 46, 311
- Nesi203, 311
- Neumann38, 311
- Nor2, 224, 308
- Nordrum118, 132, 311
- numerical approach38
- Nvivo56–59, 61, 64
- Nwogu9, 11, 14–15, 25, 311
O
- O’Donnell21, 46, 307, 311
- O’Hern305
- objectiveSee n-gram objective
- obligatory18, 32–33, 65, 90, 95, 128, 154, 228, 286, 289–290, 294, 296–297
- Omidian2–3, 24, 28, 311
- optional18, 32–33, 65, 93, 95, 98, 111, 128, 139–140, 145, 148, 152, 154, 228, 286–289, 291–301
- organisational pattern2, 237
- other functions53, 59–60, 63, 65, 72, 78–79, 86, 114, 138, 145, 149, 151–154, 205, 266–267, 301
- Ozturk10, 13, 31–32, 98, 311
P
- p-frames20, 22
- Paltridge15, 245, 311
- Pan166–168, 173, 183, 190–191, 311
- Paquot20–21, 307
- participant-oriented23, 70–71, 172, 187–192, 197–198, 217
- passive33, 68, 164–170, 176–177, 179–181, 183, 186, 188–190, 192, 198
- Peacock1, 10–11, 19, 25, 160, 311
- Peng2, 9, 11, 98, 140, 151, 160, 311
- Pho1, 10–11, 13–16, 18, 25–28, 31–32, 46, 58, 133–135, 152, 157, 169, 180, 311–312
- phraseological items20, 224, 243
- phraseological realisations5, 196, 203
- phraseology3–4, 7, 20, 24, 28, 34–35, 65, 72, 192
- Pierson152, 312
- Posteguillo9–10, 15, 94, 97, 140, 152, 312
- Pramoolsook10, 12, 30–31, 34, 58, 312
- prepositional phrase22, 68–69, 163–165, 167–168, 176–177, 180, 182–186, 188, 191, 198
- procedureSee n-gram procedure
- prototypicality3, 5, 77, 237, 241, 244
- publication period4, 51
Q
- quantificationSee n-gram quantification
R
- range4–5, 17–18, 29, 31–32, 51, 72, 74, 77, 86, 90–93, 95–98, 107–108, 111–112, 128, 131, 133–134, 145, 147–148, 151, 158, 192, 203, 205–206, 210, 214, 241–242, 245, 247, 250, 255, 263, 266, 287, 289–293, 295, 299
- referential expressions23, 203, 225
- Reidy307
- relationSee n-gram relation
- reliability17, 57–59, 82, 98, 103, 105–106, 113, 120–121, 124, 130, 132–133, 138, 155–156, 159–160, 170, 189, 209, 223, 229, 238–239, 281, 298
- Renouf20, 22, 312
- Reppen42, 311–312
- representative42, 156, 159, 173, 195, 229, 242
- research method3, 12, 30, 34, 37–38, 48, 50, 53, 57, 73, 106, 122, 132, 222, 231, 287–294, 296–301
- research paradigm12, 30, 32, 51, 72–73, 205–210, 223–225, 234, 239–241, 268, 270, 277, 282, 285–286, 289, 292, 295, 301
- research questions3, 9
- research tradition3–4, 10, 12, 29–30, 33, 41, 44, 59, 74, 88, 94, 205–206, 218, 221, 225, 234, 240, 242, 244, 272, 276, 287, 289–291, 295–296, 298–299
- research-oriented23, 70–72, 75, 172–177, 184, 190, 194–195, 197, 201, 216
- rhetorical conventions1–2, 29, 31, 33–34, 194, 241–243
- rhetorical framework9, 28, 242
- rhetorical practices9, 31, 33, 234, 238–239
- rhetorical structure2–5, 9–11, 24–25, 27–29, 33–34, 51, 65, 73, 75, 77, 161–163, 196, 234, 237, 242–245
- Robinson9, 11, 25, 40, 93, 95, 110, 152, 313
- Römer3, 20, 22, 46, 311–312
S
- Saber3, 20, 24, 28–29, 312
- Salager-Meyer197, 312
- Salazar67, 70–72, 167, 173, 182, 185, 188, 312
- sample16, 37, 42, 44, 46, 102, 132, 205, 230, 241
- sampling frame42, 44–48
- Samraj10, 12, 30–32, 34, 94, 98, 312
- Samuel Martin305
- Scott20, 46, 311–312
- segment16–17, 56, 59–64, 94–96, 112–114, 117, 136–137, 154, 157, 198, 202–203
- segmentation protocol53–55
- segmentation scheme25–26, 54–55, 244
- sequence5, 7, 21–22, 25, 27, 29, 39, 62, 64–67, 77, 86, 97–98, 113–114, 138–140, 148, 154, 158, 160–161, 181, 221, 224, 237, 241–243
- Shahriari311
- Shehzad10, 312
- Shi10–11, 19, 25, 97, 140, 312
- Simpson-Vlach21, 312
- Sinclair3, 7, 20, 22, 243, 305, 312
- Siyanova-Chanturia311
- Smagorinsky155, 313
- socio-epistemological characteristics3, 161
- socio-epistemological properties77, 156, 158, 237
- stance expressions23, 225
- steps2–3, 11–12, 30–31, 34, 51, 55–56, 72–73, 75, 90, 92–93, 95–97, 107, 110, 112–114, 128, 136–138, 157–162, 166, 178, 181–182, 198, 205, 207–210, 214, 216, 222–225, 231, 237–238, 243, 245, 247–251, 253, 255, 257, 260, 263–268, 270, 277, 282, 285, 294, 301
- Stoller9, 11, 25, 40, 93, 95, 110, 152, 313
- structural analysis2, 41, 49
- structural categories163, 166–167, 190–191
- structural classification22
- structural taxonomy166
- structuring23, 71, 172, 182–183, 191, 194, 201, 203, 216, 231, 239
- Stubbs42, 67, 313
- sub-discipline3–4, 12, 29–31, 34, 44, 50–51, 61, 72–74, 205–206, 210, 213, 216, 231, 233–234, 239, 241–242, 244, 268, 270, 272, 276–277, 282, 285–301
- subsumption67–68, 171
- Sullivan1, 313
- Swalesxi, 1–2, 7–9, 13–15, 19, 25, 27–29, 31–32, 40, 55, 77, 86, 95, 98, 111, 149, 155–156, 160, 234, 237, 241–242, 303, 310, 313
T
- Tajino310
- Tanko12, 303
- Tardy245, 313
- Tavakoli303
- Tazik10, 12–13, 30–32, 58, 309
- tense15, 28, 33, 176–177, 179, 181, 198, 245
- Tessuto9–10, 12, 25, 58, 313
- text-oriented23, 70–72, 172–173, 177–178, 181–186, 190–191, 194–195, 197, 217, 224
- textual features2, 241
- that-clause164–166, 179, 188, 192, 198
- theoretical articles214, 221–225, 230–231, 233, 240, 286–301
- theoretical methods38, 46, 230, 240, 291, 295
- thermal-fluids engineering3–4, 36, 44, 48, 50–51, 53, 60, 75, 211, 213–217, 221, 233, 239, 286–289, 291–301
- thought group16–17, 25–26
- to-clause68, 164–166, 170, 176, 179, 181, 186, 188, 192, 198
- Tribble20, 46, 312
- Trowler39, 304
- Tse168, 308
U
- unit of analysis14–17, 26, 53, 55, 157
V
- validation52, 80–82, 84–85, 99, 104–106, 110, 113, 116, 118, 120, 122, 130, 132, 137, 142–143, 145–146, 155–156, 158–159, 181, 206, 208–209, 213–215, 223–224, 229, 234, 238–240, 275–277, 279, 284, 293–294, 297, 300
- variability7, 14, 46, 239, 244
- variation4–5, 9, 11, 14, 22, 24–26, 29–32, 41, 44, 51, 72–73, 75, 188, 205–206, 210–211, 221, 226, 230–231, 233–235, 239–245
- Vazquez2, 313
- verb11, 15, 22, 28–29, 33, 55, 68–69, 164–170, 176–177, 179–181, 183, 186, 188–192, 196, 198, 201
W
- Wang120, 312
- Wannaruk10–11, 13, 19, 25, 31, 97, 140, 312–313
- Ward2, 313
- Warren305
- Wattam305
- Wharton310
- Whitley1, 313
- Wickert35–37, 313
- wildlife behaviour12, 30–31, 94
- Williams10, 140, 313
- Wobbrock73, 313
- word combinations20–21, 66, 167
- word sequences21, 23, 66–67
Y
- Yamasaki202, 313
- Yang1, 8–9, 11, 14–15, 19, 25, 28, 51, 55, 118, 133, 140, 151, 160, 313
- Yearley2, 314
Z
- Zanariah311
- Zhang168–170, 314
