Tone Association and Output Locality in Non-Linear Structures
Bibliographic Data
| ID | 19572902 |
|---|---|
| Authors | Nate Koser (Rutgers Sexual and Reproductive Health and Rights), Chris Oakden (Rutgers Sexual and Reproductive Health and Rights), Adam Jardine (0000-0001-9436-8014, Rutgers Sexual and Reproductive Health and Rights) |
| Year | 2019 |
| Volume | 7 |
| Publication date | 2019-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Proceedings of the Annual Meetings on Phonology (JOURNAL) |
| Journal identifiers | ISSN: 2377-3324 • E-ISSN: 2377-3324 |
| Publisher | Linguistic Society of America (PUBLISHER • US) |
| DOI | 10.3765/amp.v7i0.4476 |
| OpenAlex | W2949011782 |
| Language | EN |
| Citations received | 3 |
| References cited | 7 |
This paper offers a computational characterization of tone-to-TBU association processes using a restricted least-fixed point logic. Crucially, least fixed point logics allow recursive definitions which capture output-oriented processes. The added requirement that these definitions are quantifier-free ensures that they are inherently local, a restriction that is well-motivated for phonological processes in general. The typology developed here distinguishes between possible and impossible tone mappings, capturing a wider range of attested tone mappings (left-to-right, right-to-left, edge-in, quality-sensitive) than previous rule-based or optimization approaches, while also explaining why certain unattested mapping patterns (for example center-out association) are impossible. This thus represents a strong first approximation of a definition for output-based local functions over non-linear structures
Algorithm · Dynamic range · Fixed point · Linguistics · Locality · Mathematical analysis · Tone mapping · Blind Source Separation Techniques · Computer Science · Mathematics · Natural Language Processing Techniques · Phonetics and Phonology Research · Artificial Intelligence · Theoretical Computer Science
| Unique citing works | 3 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2020 - 2021 (2) |
| Citation velocity | historical |
| Highly cited | No |