Harvesting and understanding on-line neologisms

Veale, Tony; Butnariu, Cristina; Onysko, Alexander; Michel, Sascha

doi:10.1515/9783110223606.399

Cited by 11 publications

(3 citation statements)

References 14 publications

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“…Veale et al [39] used natural language processing techniques to identify and define blended words (like 'chunnel', a blend of the words 'channel' and 'tunnel') and portmanteaus (like 'incel', a combination of 'involuntary' and 'celibate'). This and work in this vein utilises knowledge about etymology and semantic changes to understand more about the syntax or semantics of neologisms.…”

Section: Computational Approachesmentioning

confidence: 99%

On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit’s Manosphere

Farrell

Araque

Fernández

et al. 2020

12th ACM Conference on Web Science

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Understanding the identities, needs, realities and development of subcultures has been a long term target of sociology and cultural studies. Socio-cultural linguistics, in particular, examines the use of language and, in particular, the existence and use of neologisms, slang and jargon. These terms capture concepts and expressions that are not in common use and represent the new realities, norms and values of subcommunities. Identifying and understanding such terms, however, is a very complex task, particularly considering the vast amount of content that is currently available online for many such groups. In this paper, we propose a combination of computational and socio-linguistic methods to automatically extract new terminology from large amounts of data, using word-embeddings to semantically contextualise their meaning. As a use case, we explore subculture on the platform Reddit. More specifically, we investigate groups considered part of the manosphere, a loose online community where men's perspectives, gripes, frustrations and desires are explicitly expressed and where women are typically targets of hostility. Characterisations of this group as a subculture are then provided, based on an in-depth analysis of the identified jargon. CCS CONCEPTS• Computing methodologies → Information extraction; Topic modeling; • Theory of computation → Random projections and metric embeddings.

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Section: Computational Approachesmentioning

confidence: 99%

On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit’s Manosphere

Farrell

Araque

Fernández

et al. 2020

12th ACM Conference on Web Science

View full text Add to dashboard Cite

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“…Computational neologism. Much previous computational work on neologisms focused on automatic recognition of neologisms and their meanings (Cook and Stevenson, 2010;Cartier, 2017;Costin-Gabriel and Rebedea, 2014;Veale and Butnariu, 2010;Kerremans and Prokić, 2018). Work on computational generation of neologisms mostly focused on creating compounds and word blends from source words (Smith et al, 2014;Deri and Knight, 2015;Gangal et al, 2017;Kulkarni and Wang, 2018;Özbal and Strapparava, 2012;Simon, 2018).…”

Section: Related Workmentioning

confidence: 99%

Coming to Terms: Automatic Formation of Neologisms in Hebrew

Mizrahi

Seelig²,

Shahaf

2020

Findings of the Association for Computational Linguistics: EMNLP 2020

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Spoken languages are ever-changing, with new words entering them all the time. However, coming up with new words (neologisms) today relies exclusively on human creativity. In this paper we propose a system to automatically suggest neologisms. We focus on the Hebrew language as a test case due to the unusual regularity of its noun formation. User studies comparing our algorithm to experts and nonexperts demonstrate that our algorithm is capable of generating high-quality outputs, as well as enhance human creativity. More broadly, we seek to inspire more computational work around the topic of linguistic creativity, which we believe offers numerous unexplored opportunities.

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“…The term lexical blend has nowadays mostly displaced Carroll's portmanteau (word), which is however still used either as an occasional synonym for lexical blend (e.g. Veale and Butnariu 2010;Konieczna, this volume) or to refer to a subcategory of blends (e.g. Algeo 1977;Piñeros 2004;Trommer and Zimmermann, this volume).…”

Section: Terminological and Definitional Dissonancementioning

confidence: 99%