Topicalization in Japanese Cooking Discourse
Bibliographic Data
| ID | 21239748 |
|---|---|
| Authors | Mitsuaki Shimojo (University at Buffalo, State University of New York, corresponding author) |
| Year | 2019 |
| Volume | 5 |
| Issue | 1 |
| Pages | 511-531 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Open Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 2300-9969 • E-ISSN: 2300-9969 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/opli-2019-0028 |
| OpenAlex | W3005563566 |
| Language | EN |
| Citations received | 1 |
| References cited | 13 |
A topic- wa -phrase is analyzed here in written recipes and the corresponding spoken instructional cooking discourse. Despite the possible assumption that the topic phrase is not used in recipes, the analysis shows that ingredients of a recipe are selectively topicalized. Those topicalized are the primary ingredients which are given with substantial procedural descriptions, when these procedures represent a parallel relationship to each other. The topicalization connects the parallel segments so that they constitute coherent discourse and properly represent the intended structure of the recipe. Also, in the spoken discourse, a topic- wa -phrase is used in a side-sequence (a digression) to connect with the main segment. These functions of representing important information and connecting parallel elements are consistent with observations in other genres of discourse. On the other hand, the analysis also suggests discourse type-based variations. In the instructional discourse, the “digressions” are connected as part of the coherent discourse. This contrasts with (non-instructional) casual spoken discourse, in which digressions are not topicalized and are detached from the main segment. These variations imply speakers’ different pragmatic intentions based on different types of discourse, which are reflected on their choice of referential forms
Casual · Discourse analysis · Discourse marker · Linguistics · Natural language processing · Phrase · Punctuation · Topicalization · Computer Science · Discourse Analysis in Language Studies · Multilingual Education and Policy · Philosophy · Translation Studies and Practices
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |