Grammars for placeholders
The dynamic turn
Datos Bibliográficos
| ID | 22130470 |
|---|---|
| Autores | Tohru Seraku (0000-0002-6684-4826, Hankuk University of Foreign Studies, autor de correspondencia) |
| Año | 2023 |
| Volumen | 8 |
| Número | 1 |
| Fecha de publicación | 2023-01-04 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Glossa a journal of general linguistics (JOURNAL) |
| Identificadores de la revista | ISSN: 2397-1835 • E-ISSN: 2397-1835 |
| Editorial | Open Library of the Humanities (PUBLISHER) |
| DOI | 10.16995/glossa.9174 |
| OpenAlex | W4311536903 |
| Idioma | EN |
| Citas recibidas | 8 |
| Referencias citadas | 45 |
In verbal communication, when a speaker encounters a word-formulation problem (e.g. memory lapse), she may resort to several linguistic strategies, including the use of a placeholder (PH). A PH is a dummy item with which a speaker fills in the syntactic slot of a target form that she is unable or unwilling to produce. There is a growing body of work investigating PHs in a variety of languages, but the bulk of extant studies provide a descriptive and/or functional analysis and little attention has been paid to formal modelling. In the present article, we offer a wide range of PH examples in Japanese, French, and German, including new data on gender mismatches, and develop a formal account in Dynamic Syntax. We propose a general mechanism to process a PH time-linearly and show how it is implemented in the grammars of several languages. In this analysis, a PH-involving string is parsed incrementally, and a conceptual structure is built up progressively, during which a PH introduces a meta-variable, to be updated based on the parse of a target form on an unfixed node or a LINKed node. The account is further extended to various PH-involving dialogic phenomena in talk-in-interaction
Dialogic · Linguistics · Natural language processing · Parsing · Programming language · Rule-based machine translation · Syntax · Computer Science · Language, Discourse, Communication Strategies · Mathematics · Natural Language Processing Techniques · Psychology · Speech and dialogue systems · Artificial Intelligence
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| Obras citantes distintas | 8 |
|---|---|
| Citas por año | 2,67 |
| Intervalo de citas | 2023 - 2025 (3) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 7 |