Figure 4 - uploaded by Guillaume Desagulier
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MCA plot : a simultaneous representation of pre-adjectival vs. pre-determiner constructions (active, in black), intensifiers (active, in red), text modes (active, in green), text types (active, in blue), and semantic classes (illustrative, in cyan)
Source publication
To capture usage-based relations between near-synonyms, I cluster collocation data using exploratory multifactorial methods. My investigation is restricted to quite and rather in the contexts where they intensify adjectives in the British National Corpus. I use correspondence analysis and multiple correspondence analysis to visualize and interpret...
Contexts in source publication
Context 1
... variable 'text_info' was ignored. Figure 4 maps the first two dimensions of the data. Along the horizontal axis, pre-determiner quite is correlated with positive connotations ('value_desirable', 'dimension_position', 'importance', 'psych_stim_good', 'adequacy_suitability', 'physical_property_good'), with the exception of 'cost_high'. ...
Context 2
... 'psych_stim_good', or 'physical_property_good') whereas pre- adjectival rather is found with their negative counterparts ('value_undesirable', 'psych_stim_bad', 'physical_property_bad'). Admittedly, not all the oppositions listed in Table 6 are found in the first two dimensions of the MCA plot in Figure 4 (for example, the 'luck_good' vs. 'luck_bad' is absent from this second dataset). It suggests that the behavior of the alternation differs slightly from the more general behavior of quite and rather. ...
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Citations
... This principle asserts that a correlation between distributional similarity and meaning similarity enables us to infer the latter from the former. Drawing inspiration from Desagulier's (2014Desagulier's ( , 2015 methodological approach, this study aims to explore distinctions among the aforementioned maximizers by examining their collocational profiles as indicative of their divergent semantics. The working hypothesis, in alignment with Desagulier's framework (2014), postulates that an overlap in collocation preferences among skroz, sasvim, posve, potpuno, and totalno would suggest a shared conceptual content, classifying them as near-synonyms. ...
... This paper adopts the methodology proposed by Desagulier (2014Desagulier ( , 2015 and combines analytical statistics with multifactorial methods. Analytical statistics involves the application of various statistical methods and techniques to analyse and interpret data, encompassing descriptive statistics, inferential statistics, regression analysis, correlation analysis, and more. ...
... This approach should enable us to understand these three elements' interplay better. In line with Desagulier's (2014Desagulier's ( , 2015 approach, this study will utilise the output of MDCA as input for correspondence analysis (CA). ...
Maximizers represent a subclass of degree modifiers that convey the highest degree to which a property can be carried out. This paper studies five Croatian near-synonymous maximizers (all meaning “completely, totally”), viz. posve, potpuno, sasvim, skroz, and totalno, as a part of <maximizer + adjective> construction. It is assumed here that analysed pairings act as (semi)-prefabricated units with maximizers that impose particular modes of construal. To analyse the subtle semantic differences of examined maximizers, we shall turn to the distributional hypothesis and examine contexts in which maximizers occur. Using a combination of analytical statistics (collostructional analysis) and multifactorial methods (hierarchical agglomerative cluster analysis and correspondence analysis), we aim to examine similarities (proximities) and differences (distances) between analysed constructions in order to understand intricate relationships among maximizers, fostering valuable insights into their semantics. The findings of this study provide insight into the interplay of the Croatian maximizers and adjectives.
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