Affixal rivalry and its purely semantic resolution among English derived adjectives
Bibliographic Data
| ID | 10140329 |
|---|---|
| Authors | Akinori Nagano (0000-0002-9115-7040, University of Shizuoka, corresponding author), Akiko Nagano |
| Year | 2022 |
| Volume | 59 |
| Issue | 3 |
| Pages | 499-530 |
| Publication date | 2022-05-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0022-2267 • E-ISSN: 1469-7742 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0022226722000147 |
| OpenAlex | W4282566491 |
| Language | EN |
| Citations received | 7 |
| References cited | 50 |
This paper aims to fill in a long missing piece in the paradigmatic word-formation research: a set of rival affixes whose members are differentiated in meaning. We argue that such a set can be found in English derivational adjectivalization, in the affixal rivalry between the adjectivalizing suffixes -ed and -y. Using the traditional method of doublet comparison (Aronoff 1976, 2020), we reveal that adjectives of the form Xed and those of the form Xy ( X standing for the source word) differ in the scale type. Xed adjectives are closed-scale adjectives, but Xy adjectives are totally open-scale adjectives. The scale-type difference explains why Xed adjectives combine with certain degree modifiers, whereas Xy adjectives do not. Furthermore, we show that the rival affixes are doubly differentiated in the deverbal domain in terms of the said output scale type and the input base selection. In this domain, the major sources of the closed-scale -ed adjectives and the open-scale -y adjectives are result and manner verbs, respectively
Adjective · Base (topology · Domain (mathematical analysis · Economics · Linguistics · Meaning (existential · Natural language processing · Noun · Rivalry · Scale (ratio · Selection (genetic algorithm · Set (abstract data type · Word (group theory · Word formation · Artificial Intelligence · Computer Science · Lexicography and Language Studies · linguistics and terminology studies · Mathematics · Natural Language Processing Techniques · Philosophy · Psychology
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| Unique citing works | 7 |
|---|---|
| Citations per year | 3,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |