Semantic neology
Challenges in matching corpus-based semantic change to real-world
change
This study deals with contemporary real-world social change and its
linguistic expression by means of neosemes, with the help of the WebCorpLSE automated
collocation analysis software. The study briefly outlines the history and pattern of
diffusion of each of the five user-defined neosemes, noting where possible the tipping
point of popularization. We examine these modern neosemes in a series of case studies,
focussing on the challenges faced in this task, for instance in the form of rarity of
occurrence, as emergent or ephemeral formations. The functionality of the software is
examined in each case, in order to demonstrate various measures which can be undertaken
to allow or enhance its performance in teasing out collocational profiles from sparse
data.
Article outline
- 1.Introduction
- 2.Data and methods
- 2.1Data and tools
- 2.2Tracking the neosemes
- 3.Case studies
- 3.1Case study 1:
Birther
- 3.1.1Provenance
- 3.1.2Assessment of challenge
- 3.1.3System performance
- 3.2Case study 2:
Normalisation
- 3.2.1Provenance
- 3.2.2Assessment of challenge
- 3.2.3System performance
- 3.3Case study 3:
Cougar
- 3.3.1Provenance
- 3.3.2Assessment of challenge
- 3.3.3System performance
- 3.4Case study 4:
Snowflake
- 3.4.1Provenance
- 3.4.2Assessment of challenge
- 3.4.3System performance
- 3.5Case study 5:
Ghosting
- 3.5.1Provenance
- 3.5.2Assessment of challenge
- 3.5.3System performance
- 4.Discussion
- 4.1Challenges
- 4.2Measures shown to allow or enhance system performance
- 4.3Sociolinguistic insights gained in the study
- 5.Conclusion
-
Notes
-
References
References (36)
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ACRONYM = Automatic Collocational
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APRIL = Automatic Prediction of
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AVIATOR = Analysis of Verbal
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WebCorpLSE = WebCorp Linguist’s Search
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Cited by (1)
Cited by one other publication
Aleksandruk, Iryna, Oleksandra Palchevska & Petro Hubych
2023.
The impact of neologisms on the development of the modern Ukrainian media discourse of war.
InterConf :30(143)
► pp. 195 ff.
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