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Affixal rivalry and its purely semantic resolution among English derived adjectives

Dados Bibliográficos

ID10140329
AutoresAkinori Nagano (0000-0002-9115-7040, University of Shizuoka, autor correspondente), Akiko Nagano
Ano2022
Volume59
Fascículo3
Páginas499-530
Data de publicação2022-05-10
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Linguistics (JOURNAL)
Identificadores do periódicoISSN: 0022-2267 • E-ISSN: 1469-7742
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0022226722000147
OpenAlexW4282566491
IdiomaEN
Citações recebidas7
Referências citadas50

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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Obras citantes distintas7
Citações por ano3,5
Intervalo de citações2024 - 2026 (3)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 7
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