Gradient symbolic representations in Harmonic Grammar
Bibliographic Data
| ID | 5120992 |
|---|---|
| Authors | Becky Hsu (0000-0003-2352-1047, University of North Carolina at Chapel Hill, corresponding author) |
| Year | 2022 |
| Volume | 16 |
| Issue | 9 |
| Publication date | 2022-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language and Linguistics Compass (JOURNAL) |
| Journal identifiers | ISSN: 1749-818X • E-ISSN: 1749-818X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/lnc3.12473 |
| OpenAlex | W4296051368 |
| Language | EN |
| Citations received | 7 |
| References cited | 47 |
This paper presents an overview of Harmonic Grammar with gradient symbolic representations (a.k.a. Gradient Harmonic Grammar), a weighted-constraint model of grammatical computation in which language structures are mentally represented with numerically continuous levels of activity, or degree of presence. In this system, the penalty of each constraint violation is proportional to the activity of the structure that incurs it. The adoption of gradient activity permits unique advances in generative approaches to key types of idiosyncratic patterns in language. I review the main proposals that have been made in the framework, and outstanding issues such as the existence of gradient activity in output structures
Acoustics · Algorithm · Computation · Generative grammar · Geometry · Grammar · Harmonic · Linguistics · Natural language processing · Physics · Computer Science · Language and cultural evolution · Mathematics · Natural Language Processing Techniques · Philosophy · Speech and dialogue systems · Artificial Intelligence
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| Unique citing works | 7 |
|---|---|
| Citations per year | 2.33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |