Abstract
By using the concept of ‘multiple grammars,’ this paper develops the view of an individual speaker’s cognitive organization of grammar. Although conversation, one type of spoken language environment, plays a crucial role in the emergence of grammar, for some speakers in a literate society, the written language environment may also contribute to developing a grammar. The two language environments are expected to provide unique incentives to shaping grammar differently as they diverge greatly in terms of media types (sound vs graph), constraints (online processing vs detachment), and purposes (interaction vs ideational formation), among others. At the same time, speakers may come in contact with and acquire additional sets of grammar for specific genres. Though the grammars acquired in different genre environments may be merged at the most abstract level, each grammar contains genre-specific formulaic expressions and grammatical resources with varying degrees of granularity. Speakers may conduct their routine linguistic activities in an informal conversation by employing reusable formulaic expressions of various types and rudimentary combinatory algorithms, but when they engage in more complex verbal tasks (politicians engaging in a debate, interviewees reconstructing past experiences), they may employ more abstract grammatical resources including those that were acquired from written language. The paper explores these suggestions by performing text and statistical analyses of several Japanese discourse samples.
Acknowledgments
I would like to thank the following people who gave me assistance during writing this paper: Mayumi Ajioka, Maggie Camp, Ewa Dąbrowska, Tetsuo Harada, Shimako Iwasaki, Michiko Kaneyasu, Yumiko Kawanishi, Chigusa Kurumada, Carol Lord, Tsuyoshi Ono, Yukinori Takubo, Sandra Thompson, Etsuko Yoshida, as well as the two anonymous reviewers of the earlier version of this paper. I’d also like to thank those institutions that provided me with opportunities to present the idea of a multiple-grammar model at its different stages of evolution: University of Tokyo (2005), Kyoto University (2006), National University of Singapore (2007), UC Santa Barbara (2007), National Institute of Japanese Language and Linguistics (2013), and Tokyo University of Foreign Studies (2013).
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Appendix A: Abbreviations
- ACC
accusative
- ASP
aspect
- COM
comitative
- COMP
complementizer
- COP
copula
- G
goal
- GEN
genitive
- GER
gerund
- INF
infinitive
- INS
instrumental
- LOC
locative
- MOD
modal
- NEG
negative
- NOM
nominative
- PASS
passive
- POT
potential
- PP
pragmatic particle
- PST
past
- QT
quotative
- SE
sentence extension
- TOP
topic
Appendix B: Data for Figure 6(a) and 6(b)
The top 20 most frequent words used by Mr. H in his spoken and written discourses
Spoken | Written | ||
1 nn (173/0) | 11 desu (36/0) | 1 no (450/73) | 11 hi (83/19) |
2 ne (82/0) | 12 n (36/0) | 2 ni (280/41) | 12 koto (73/11) |
3 te (74/121) | 13 to (33/181) | 3 ga (234/55) | 13 mo (69/24) |
4 no (73/450) | 14 wa (33/233) | 4 wa (233/33) | 14 aru (67/8) |
5 ta (68/105) | 15 yo (33/0) | 5 o (184/5) | 15 nihongo (67/0) |
6 ga (55/234) | 16 moo (29/0) | 6 to (181/33) | 16 washa (60/0) |
7 nee (50/0) | 17 u (28/23) | 7 de (165/50) | 17 iru (58/3) |
8 de (50/165) | 18 ano (26/0) | 8 te (121/74) | 18 suru (56/4) |
9 ni (41/280) | 19 desho (26/0) | 9 ta (105/68) | 19 nai (55/25) |
10 ee (39/0) | 20 nanka (26/0) | 10 eego (102/0) | 20 hatsuon (55/0) |
Appendix C: Data for Figure 9(a)–9(c)
The top 20 most frequent words in Mr. H’s conversation, CH, and Ono data
Mr. H’s conversation | Call Home (20 conv.) | Ono Data (13 conv.) |
Word Types: 499 | Word Types: 3,343 | Word Types: 2,148 |
Word Tokens: 2,251 | Word Tokens: 39,882 | Word Tokens: 18,822 |
1 nn (173/2,818/516) | 1 nn (2,818) | 1 te (781) |
2 ne (82/1,269/356) | 2 te (1,396) | 2 no (684) |
3 te (74/1,396/781) | 3 no (1,396) | 3 nn (516) |
4 no (73/1,396/684) | 4 ne (1,269) | 4 n (506) |
5 ta (68/1,049/449) | 5 ta (1,049) | 5 -ta (449) |
6 ga (55/640/316) | 6 soo (830) | 6 de (412) |
7 nee (50/0/1) | 7 da (807) | 7 ne (356) |
8 de (50/776/412) | 8 de (776) | 8 ni (350) |
9 ni (41/762/350) | 9 ni (762) | 9 da (348) |
10 ee (39/9/7) | 10 -nai (644) | 10 –nai (346) |
11 desu (36/42/67) | 11 ga (640) | 11 wa (325) |
12 n (36/561/506) | 12 wa (588) | 12 ga (316) |
13 to (33/392/212) | 13 yo (569) | 13 soo (279) |
14 wa (33/588/325) | 14 n (561) | 14 yo (276) |
15 yo (33/569/276) | 15 na (507) | 15 tte (219) |
16 moo (29/257/182) | 16 kara (462) | 16 shi (215) |
17 –u (28/236/65) | 17 ano (422) | 17 na (215) |
18 ano (26/236/44) | 18 a! (416) | 18 toka (214) |
19 desho (26/120/45) | 19 ka (409) | 19 to (212) |
20 nanka (26/298/158) | 20 mo (405) | 20 nn (203) |
Mr. H’s conversation | Call Home (20 conv.) | Ono Data (13 conv.) |
38 koto (11) | 40 o (169) | 35 o (105) |
77 o (5) | 44 koto (144) | 59 koto (50) |
Appendix D: Data for Figure 10(a) and 10(b)
The top 20 most frequent words in Mr. H’s written sample and newspaper editorials
H written | Newspaper editorials |
Total No. of Word Types: 925 | Total No. of Word Types: 3,113 |
Total No. of Word Tokens: 6,096 | Total No. of Word Tokens: 17,251 |
H written | Newspaper editorials |
1 no (450/1,214) | 1 no (1,214) |
2 ni (280/663) | 2 o (692) |
3 ga (234/448) | 3 ni (663) |
4 wa (233/610) | 4 wa (610) |
5 o (184/692) | 5 ta (465) |
6 to (181/351) | 6 ga (448) |
7 de (165/363) | 7 de (363) |
8 te (121/358) | 8 te (358) |
9 ta (105/465) | 9 to (351) |
10 eego (102/0)‘English’ | 10 shi (348) |
11 shi (83/348) | 11 mo (182) |
12 koto (73/125) | 12 nai (167) |
13 mo (69/182) | 13 suru (164) |
14 aru (67/116) | 14 da (147) |
15 nihongo (67/0)‘Japanese’ | 15 iru (135) |
16 washa (60/0)‘speakers’ | 16 koto (125) |
17 iru (58/135) | 17 na (125) |
18 suru (56/164) | 18 aru (116) |
19 nai (55/167) | 19 -re (111) |
20 hatsuonn (55/0) ‘pronunciation’ | 20 sa (99) |
©2015 by De Gruyter Mouton
Articles in the same Issue
- Frontmatter
- Research Articles
- A multiple-grammar model of speakers’ linguistic knowledge
- “Making meaning”: Communication between sign language users without a shared language
- Co-forming real space blends in tactile signed language dialogues
- Visualizing onomasiological change: Diachronic variation in metonymic patterns for woman in Chinese
- Culture or language: what drives effects of grammatical gender?
- Commentary
- Island constraints and overgeneralization in language acquisition
- Book Reviews
- Karen Sullivan: Frames and Constructions in Metaphoric Language
- Vyvyan Evans: Language and Time
Articles in the same Issue
- Frontmatter
- Research Articles
- A multiple-grammar model of speakers’ linguistic knowledge
- “Making meaning”: Communication between sign language users without a shared language
- Co-forming real space blends in tactile signed language dialogues
- Visualizing onomasiological change: Diachronic variation in metonymic patterns for woman in Chinese
- Culture or language: what drives effects of grammatical gender?
- Commentary
- Island constraints and overgeneralization in language acquisition
- Book Reviews
- Karen Sullivan: Frames and Constructions in Metaphoric Language
- Vyvyan Evans: Language and Time