Nativised structural patterns of make light verb construction in Malaysian English

Ong, Christina Sook Beng; Rahim, Hajar Abdul

doi:10.1075/consl.00024.rah

Cited by 3 publications

(2 citation statements)

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“…It applied not only to inflective words, but also to agglutinative ones. Other LVCs studies revealed formal semanticsbased descriptions of semantic aspects (Cordeiro & Candito, 2019;Georgescu, 2013;Hrenek, 2019;Ong & Rahim, 2021;Srinivas & Legendre, 2022;Suñer & Roche, 2021). From this point of view, the central suggestion was to think of LVCs as semantic rather than morphological units.…”

Section: Introductionmentioning

confidence: 98%

Morphosemantic Features of Membuat ‘Make’ in the Light Verb Constructions of Indonesian

Nugraha

2023

LiNGUA J.

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Light verb constructions (LVCs) are combinations of a verb and a noun that operate as a referee for a distinctive idiomatic-like meaning in which the noun is the central focus of meaning deduction. This study aimed to identify and describe Indonesian LVCs as morphosemantic phenomena. The dataset comprises Indonesian sentences containing featured LVCs. Three corpora were utilized as data sources: Leipzig Corpora Collection – Indonesian (LCCI), SEAlang Library Indonesian Text Corpus (SEAlang), and Kamus Besar Bahasa Indonesia (KBBI). In this study, a framework from Morphosemantics has been employed to provide the deep analysis technique. The results revealed the following two folds. First, at the morphological level, the Indonesian verb membuat 'make' is a clear indicator of the existence of LVCs. Second, on a semantic level, the verb membuat ‘make’ in Indonesian LVCs tends to produce ACTION type verbs, AGENT paired argument of verbs and RESULTATIVE grammatical meaning. This study suggested that further research be done on the morphosyntactic features of the Indonesian LVCs verb membuat 'make.'

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Section: Introductionmentioning

confidence: 98%

Morphosemantic Features of Membuat ‘Make’ in the Light Verb Constructions of Indonesian

Nugraha

2023

LiNGUA J.

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“…The interest in LVCs has been demonstrated by work in the field of linguistics (Bonial & Pollard, 2020;Gilquin, 2019;Ong & Rahim, 2021) as well as computational linguistics in various languages (Klyueva et al, 2017;Maldonado et al, 2017;Nagy T. et al, 2020). The importance of LVC identification in NLP applications can be observed from recent work in the development of multilingual annotated corpora for the automatic identification of verbal MWEs which includes LVCs (Ramisch et al, 2018(Ramisch et al, , 2020Savary et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Automatic Identification of Light Verb Constructions: A Review

Tan¹,

Lim

Tan

et al. 2022

TJIEM

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Light verb constructions (LVC) are complex predicates that are present in many languages. They belong to the Multiword Expression category known as verbal MWEs and has the canonical form of verb+noun. Examples of LVCs include give help, make decisions, and take walks. LVC identification is essential for many natural language processing (NLP) applications such as machine translation, sentiment analysis, and information extraction. However, the task of LVC identification is challenging due to its characteristics such as variability, discontinuity, and ambiguity. This paper presents a review of recent work, discusses the gaps that still exist, and proposes some future work that may contribute significant progress in LVC identification.

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A corpus-based analysis of light verb constructions with MAKE and DO in British English

Giparaitė

2024

KLB

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The comparison of light verb constructions with the verbs make and do has not received much attention. The present paper is an attempt to contribute to the study of these constructions. It aims to analyze the light verbs make and do in combination with the same deverbal nouns to identify similarities and differences between the two light verbs and examine the contribution of the light verbs and deverbal nouns to the light verb construction in terms of semantic and syntactic features. The research is corpus-based, and the data for analysis are collected from the British National Corpus (BNC). The semantic description deals with characteristics such as generality, polysemy and aspectual meaning, and the syntactic description focuses on complementation. The analysis of findings demonstrates that, despite some similarities, almost all constructions with the two light verbs show either meaning or/and complementation differences. The study also reveals that both light verbs and deverbal nouns have an impact on the semantics and syntax of the construction. Light verbs may affect light verb constructions semantically in terms of generality and polysemy, and the aspectual meaning of constructions depends on both light verbs and deverbal nouns. Likewise, both light verbs and deverbal nouns have an influence on complementation, but in their own way: light verbs on the selection of complements and deverbal nouns on complementation patterns.

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Nativised structural patterns of make light verb construction in Malaysian English

Cited by 3 publications

References 30 publications

Morphosemantic Features of Membuat ‘Make’ in the Light Verb Constructions of Indonesian

Morphosemantic Features of Membuat ‘Make’ in the Light Verb Constructions of Indonesian

Automatic Identification of Light Verb Constructions: A Review

A corpus-based analysis of light verb constructions with MAKE and DO in British English

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