Linguistic Taboos and Euphemisms in Nepali

Niraula, Nobal B.; Dulal, Saurab; Koirala, Diwa

doi:10.1145/3524111

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Over time, I noticed changes in students' use of informal everyday language style, particularly the use of Thai impolite title ai (Leetrakul, 1978) before name-calling in my presence, which would be considered inappropriate in most contexts in Thai society. Using slang, taboo, and/or impolite language signals in-group identity (Niraula et al, 2022), which means students considered me as one of the peers whom they included in their discussions. As a result, this data confirmed that I successfully negotiated my teacher identity to be one of them.…”

Section: Teacher As An Old-timer and A Peermentioning

confidence: 99%

Identity Construction and Negotiation of Classroom CoP Members in Global Englishes Course: A Higher Education Context in Thailand

Boonyarattanasoontorn,

Taylor

2023

ELT

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This ethnographic study examines identity negotiation and construction inside a Global Englishes (GE) classroom community of practice in a Thai higher education context. Drawing on the communities of practice (CoP) framework (Lave & Wenger, 1991; Wenger, 1998), the study theorizes the academic GE classroom as a CoP and explores how participants construct identities while engaged in the joint enterprise of becoming English as a lingua franca (ELF) users and engaging in classroom activities using a shared repertoire of humour and shared narratives. The findings revealed the emergence of multiple identities from the overlapping characteristics of the academic classroom, and raised questions regarding legitimate peripheral participation (LPP) and identity trajectories as they intersect the egalitarian notion of ELF, including semi-expert identity, reverse identity, and bullying. Furthermore, the study highlighted the significant role of individual agency in the interplay between personal experiences and the broader Thai social structure in negotiating identities. The implications for researchers and practitioners focus on the potential of Global Englishes classrooms as a locus for positive identity construction and the importance of considering differing perspectives to create a more nuanced understanding of identity and participation in L2 learning. The study also suggests a bottom-up pedagogical approach with ELF-oriented materials for learners to develop more favourable identities as English as a lingua franca users and/or multicompetent speakers.

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Section: Teacher As An Old-timer and A Peermentioning

confidence: 99%

Identity Construction and Negotiation of Classroom CoP Members in Global Englishes Course: A Higher Education Context in Thailand

Boonyarattanasoontorn,

Taylor

2023

ELT

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“…It is the official language of Nepal and several eastern Indian regions, including Sikkim, Darjeeling, and Kalimpong. It is spoken by more than 20 million people, mainly in Nepal and other places worldwide, including Bhutan, India, and Myanmar (Niraula, Dulal, and Koirala 2022).…”

Section: Introductionmentioning

confidence: 99%

DanfeNER - Named Entity Recognition in Nepali Tweets

Niraula¹,

Chapagain

2023

FLAIRS

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Twitter allows users to easily post tweets on any subject or event anytime, generating massive amounts of rich text content on diverse topics. Automated methods such as Named Entity Recognition (NER) are required to process the massive tweet data. Processing tweets, however, poses a special challenge as they are informal posts with incomplete context and often contain acronyms, hashtags, misspellings, abbreviations, and URLs due to length constraints. This paper presents the first systematic study of NER in Nepali tweets corresponding to five different entity types: Person Name (PER), Location (LOC), Organization (ORG), Date (DAT), and Event (EVT). We develop DanfeNER, the first human-labeled high-quality NER benchmark data sets for the low-resource language Nepali. DanfeNER contains 5,366 records and 3,463 entities in its train set and 2,301 records and 1,503 entities in its test set. Using this data set, we benchmark several state-of-the-art Nepali monolingual and multilingual transformer models, obtaining micro-averaged F1 scores up to 81%.

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Identification of domain-specific euphemistic tweets using clustering

Devi,

Saharia

2023

Int. j. inf. tecnol.

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Linguistic Taboos and Euphemisms in Nepali

Cited by 4 publications

References 24 publications

Identity Construction and Negotiation of Classroom CoP Members in Global Englishes Course: A Higher Education Context in Thailand

Identity Construction and Negotiation of Classroom CoP Members in Global Englishes Course: A Higher Education Context in Thailand

DanfeNER - Named Entity Recognition in Nepali Tweets

Identification of domain-specific euphemistic tweets using clustering

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