Verbs of visual perception in Italian FrameNet

Johnson, Martina; Lenci, Alessandro

doi:10.1075/bct.58.01joh

Cited by 4 publications

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“…Perception verbs and perception metaphors have been of interest to both linguists (Sweetser, 1990;Viberg, 1984) and anthropologists (Classen, 2005;Howes, 1991). Most of the research has focused on the senses of seeing and hearing (Alm-Arvius, 1993;de Vries, 2013;Evans & Wilkins, 2000;Johnson & Lenci, 2011;Proos, 2019;Sjöström, 1999;Usoniene, 2001;Vanhove, 2008), rendering the senses of touch, smell, and taste relatively under-studied. The reasons for this are manifold.…”

Section: Introductionmentioning

confidence: 99%

Feeling your neighbour: an experimental approach to the polysemy oftundma‘to feel’ in Estonian

Proos

2020

Lang. cogn.

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This paper offers an experimental approach to the polysemy of the Estonian perception verb tundma ‘to feel’ from the perspective of the perception ➔ cognition metaphor. First, a sorting task is used to map how native speakers perceive the different senses of tundma ‘to feel’. The results show that cognition-related senses of tundma form the most distinct and coherent group. This set was researched further by means of a second experiment, a conceptual feature rating task. The aim of this task was to assess if the cognition-related meanings of tundma differ from other cognition verbs of Estonian (teadma ‘to know’, aru saama ‘to understand’) in that they are metaphorically linked to physical perception. It was predicted that native speakers use characteristics tied to the physical perception in the conceptualisation of the type of knowledge expressed by tundma. However, native speakers did not rate sentences with tundma as more physical than sentences with abstract cognition verbs. This result is indicative of the nature of the semantics of tundma being more varied than was first thought. It is argued that the semantics of tundma refer to it being a verb of general proximal perception.

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Section: Introductionmentioning

confidence: 99%

Feeling your neighbour: an experimental approach to the polysemy oftundma‘to feel’ in Estonian

Proos

2020

Lang. cogn.

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From corpus usages to cognitively informed dictionary senses: reconstructing an MLD entry for the verb float

Dalpanagioti

2019

Lexicography ASIALEX

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Identifying verb collocational patterns in a specialized medical journal corpus

Verdaguer

Noguchi

2018

RESLA

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This paper examines the collocational patterns of frequent verbs in medical research articles, and proposes a way to help non-native speakers of English learn word combinations frequently used in specific professional genres. We explore the correlations in the syntactico-semantic behavior and the collocational patterns of related verbs, in order to systematically teach recurrent word combinations.To this end, we present a corpus-based analysis of the collocational patterning of the verbs which belong to the same semantic frame in FrameNet, the frame EVIDENCE. These verbs were identified in 397 medical research articles from a pre-release version of the PERC (Professional English Research Consortium) corpus (3,155,118 tokens and 115,960 word types). The verbs examined, in approximate order of degree of increasing certainty, are suggest, argue, show, reveal, prove, demonstrate, substantiate, verify, confirm and corroborate. The results reveal that verbs that can be grouped into semantic and syntactic coherent sets also share combinatorial properties. We conclude that, rather than studying isolated verbs, making learners aware of these patterns of verb groups can greatly contribute toward efficient learning of the language of professional texts.

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Verbs of visual perception in Italian FrameNet

Cited by 4 publications

References 0 publications

Feeling your neighbour: an experimental approach to the polysemy oftundma‘to feel’ in Estonian

Feeling your neighbour: an experimental approach to the polysemy oftundma‘to feel’ in Estonian

From corpus usages to cognitively informed dictionary senses: reconstructing an MLD entry for the verb float

Identifying verb collocational patterns in a specialized medical journal corpus

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