Results 231 to 240 of about 131,350 (295)

What are particularistic pejoratives?

Mind &Language, EarlyView.
Particularistic pejoratives (PPs) mock individuals based on their personal attributes yet lack a precise definition. This paper seeks to refine our understanding of PPs by examining their derogatory profiles across three dimensions: descriptiveness, intensity, and slurring potential.
Víctor Carranza‐Pinedo
wiley   +1 more source

Language and economic behaviour: Future tense use causes less not more temporal discounting. [PDF]

PLoS One
Robertson C, Roberts SG, Majid A, Dunbar RIM.   +3 more
europepmc   +1 more source

Formats and implementations of exercises for collocation learning: Learning outcomes and students’ beliefs

The Modern Language Journal, EarlyView.
Abstract Collocation‐focused exercises in language courses often require students to choose the right words from a given set of candidates to reassemble broken‐up collocations. Other exercises invite the students themselves to supply the missing words to complete collocations.
Alyssa Mengxue Li, Frank Boers
wiley   +1 more source

The role of Universal Grammar and crosslinguistic influence in the interpretation of recursive set-subset adjectives in adult Romanian L1-English L2 bilinguals. [PDF]

Front Hum Neurosci
Bleotu AC, Foucault D, Roeper T, Lakshmanan U.   +3 more
europepmc   +1 more source

Two Nationalisms, One City: Official and Diasporic Framings of the 2019 Hong Kong Protests

Nations and Nationalism, EarlyView.
ABSTRACT This study analyses the contested collective memories of the 2019 Anti‐Extradition Law Amendment Bill (Anti‐ELAB) movement, investigating how the Hong Kong government and diaspora construct divergent narratives to shape national identity and nationalism.
Isaac Iu
wiley   +1 more source

The Indo-European Cognate Relationships dataset. [PDF]

Sci Data
Anderson C, Scarborough M, Jocz L, Kümmel MJ, Jügel T, Irslinger B, Pooth R, Liljegren H, Strand RF, Haig G, Geupel U, Macak M, Kim RI, Anonby E, Pronk T, Belyaev O, Dewey-Findell TK, Boutilier M, Freiberg C, Tegethoff R, Serangeli M, Stroński K, Falileyev A, Liosis N, Schulte K, Gupta GK, Izadifar R, Markus P, Williams N, Loi S, Sims-Williams N, Findell M, Adibifar S, Abete G, Atanasov P, Baiwir E, Bastardas MR, Benkato A, Bevevino LS, Buchi É, Cadorini G, Cathcart C, Cheveau L, Christodoulou C, Delorme J, Dworkin SN, Ekici D, Farridnejad S, Gheitasi M, Hammarström H, Hewitt S, Khan AA, Khan MK, Khokhlova L, Kim D, Lewin C, Lushaj B, Mahmoudveysi P, Mahommadirad M, Mersch S, Mustafa B, Nemati F, Nourzaei M, Muircheartaigh PÓ, Oogjen V, Ourang M, Pagan H, Palmer TS, Pepper S, Purandare M, Rehman K, Rhys G, Røyneland U, Sagar MZ, Sandstedt JJ, Steensland L, Taheri-Ardali M, Talebi-Dastenaei M, Tittel S, Tresoldi T, de Vaan M, Verkerk A, Versloot A, Videsott P, Vuletić N, Widmer M, Zeini A, Bibiko HJ, Runge F, Gray RD, Heggarty P.   +90 more
europepmc   +1 more source

Why Do Voters Vote for ‘the Other Side’? Instrumental and Expressive Motives for Cross‐Ethnolinguistic Voting in Brussels

Nations and Nationalism, EarlyView.
ABSTRACT While electoral support in deeply divided societies is expected to follow segmental lines, parties often attract substantial backing from outside their core constituencies. This article examines why voters in Belgium's Brussels‐Capital Region—a consociational system designed to enable the peaceful cohabitation of the French and Dutch language ...
Benjamin Blanckaert, Silvia Erzeel, Didier Caluwaerts   +2 more
wiley   +1 more source

Research of text paraphrase generation based on self-contrastive learning. [PDF]

PLoS One
Yuan L, Yu HP, Ren J, Sun P.
europepmc   +1 more source

Digital Nationalism in Comparative Perspective: Trump Blaming China on Social Media in the United States and China

Nations and Nationalism, EarlyView.
ABSTRACT This study presents one of the first comparative analyses of digital nationalism on social media. Using a computational mixed‐method approach—combining supervised, computer‐assisted content analysis with network modelling—it analyses 64,541 tweets from Twitter and 91,063 posts from Weibo surrounding a shared geopolitical flashpoint: President ...
Chris Chao Su, Jun Liu
wiley   +1 more source

Flat-Lattice-CNN: A model for Chinese medical-named-entity recognition. [PDF]

PLoS One
Wang S, Zhang K, Liu A.
europepmc   +1 more source