Typological diversity in New Englishes

Sharma, Devyani

doi:10.1075/eww.30.2.04sha

Cited by 97 publications

(29 citation statements)

References 32 publications

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“…Extended features. To test a more diverse set of features, we additionally annotated 18 features on a set of 300 turns randomly selected from the conversational subcorpus of ICE-India, 2 as well as 50 examples randomly selected from a secondary dataset of sociolinguistic interviews (Sharma, 2009) to ensure diverse feature instantiation. We selected our 18 features based on multiple criteria: 1) prevalence in Indian English based on the dialectology literature, 2) coverage in the data (we started out with a larger set of features and removed those with fewer than two occurrences), 3) diversity of linguistic phenomena.…”

Section: Corpus Annotationsmentioning

confidence: 99%

Learning to Recognize Dialect Features

Demszky

Sharma

Clark

et al. 2021

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Langua

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Building NLP systems that serve everyone requires accounting for dialect differences. But dialects are not monolithic entities: rather, distinctions between and within dialects are captured by the presence, absence, and frequency of dozens of dialect features in speech and text, such as the deletion of the copula in "He ∅ running". In this paper, we introduce the task of dialect feature detection, and present two multitask learning approaches, both based on pretrained transformers. For most dialects, largescale annotated corpora for these features are unavailable, making it difficult to train recognizers. We train our models on a small number of minimal pairs, building on how linguists typically define dialect features. Evaluation on a test set of 22 dialect features of Indian English demonstrates that these models learn to recognize many features with high accuracy, and that a few minimal pairs can be as effective for training as thousands of labeled examples. We also demonstrate the downstream applicability of dialect feature detection both as a measure of dialect density and as a dialect classifier.

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Section: Corpus Annotationsmentioning

confidence: 99%

Learning to Recognize Dialect Features

Demszky

Sharma

Clark

et al. 2021

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Langua

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“…Highly probably, parameters of a new language variety may be assimilated into the existing system pertaining to a previously learnt variety. As parameters of different language varieties share substantial similarity or even sameness [29], contradiction between them and rejection of new parameters by the existing system are unlikely to occur frequently. Consequently, a new, independent system pertaining to the newly acquired language variety may not be easily developed.…”

Section: Multiple Varieties Acquired As Systems Of Variantsmentioning

confidence: 99%

“…Rather, it should be intended for the cultivation of a new usage-system. When two or more varieties of a language are compared, grammatical or syntactic similarities often prevail over disparities [29]. Conversely, disparities in usage tend to outweigh similarities [30].…”

Section: Multiple Varieties Acquired As Systems Of Variantsmentioning

confidence: 99%

Teaching and Learning Multiple Varieties of a Foreign Language for Sustainable Multilingual Education

Shan

2021

Sustainability

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In multilingual education for sustainable personal development, compared with that of multiple languages, the teaching and learning of multiple varieties of a language has been underexplored as a special and important form of multilingualism. In this article, we examine the linguistic, psychological, and social characteristics of multiple variety learning, as compared with multiple language learning. Linguistically, acquisition of language varieties is a process of assimilating variants from a new variety into an earlier variety, which serves as a prototype system. Such assimilation is a psychological project of form-meaning interface development, which may follow the patterns of structural multiplication, conceptual involution, conceptual evolution, or/and conceptual transfer. When multiple language varieties are actually used in social contexts, multilingual individuals’ selected language practices may be supported by their combined linguistic resources from multiple varieties rather than depend on a single variety despite its dominance in a given situation. These characteristics carry pedagogical implications for sustainable multilingual education, particularly for the teaching and learning of foreign languages that have multiple varieties.

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“…16 Non-delimited stative progressives refer to permanent, rather than temporary, situations, and are thus considered non-standard (e.g. Then what they'll feel is like, we are knowing each other; see Sharma 2009).…”

Section: Statistical Approachmentioning

confidence: 99%

Recent change in stative progressives: a collostructional investigation of British English in 1994 and 2014

Rautionaho

Fuchs

2020

English Language and Linguistics

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The spread of the progressive from dynamic to stative verbs started in the seventeenth century, and slowed down in the late twentieth century. The present study investigates recent change in the use of stative progressives in conversational British English from the early 1990s to the early 2010s. The analysis focuses on a total of 100 stative verb lemmata in the spoken, demographic sections of the original and new British National Corpus, restricted to a variable context where a progressive could potentially occur. Results indicate that overall, stative progressives have not become more frequent in the last twenty years, and that the group of stative verbs is highly heterogeneous. However, particular verbs, such as expect and think, do indeed combine more frequently with the progressive now, which could be the cause of the popular impression of the continuing spread of stative progressives. In addition to a frequency-based analysis, a distinctive collexeme analysis offers a more fine-grained analysis of the collostructional preferences of individual verb lemmata and semantic classes of stative verbs. This analysis reveals that the stative verbs are heterogenous and that the lemmata most distinctly associated with the progressive belong to the group of stance verbs.

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Typological diversity in New Englishes

Cited by 97 publications

References 32 publications

Learning to Recognize Dialect Features

Learning to Recognize Dialect Features

Teaching and Learning Multiple Varieties of a Foreign Language for Sustainable Multilingual Education

Recent change in stative progressives: a collostructional investigation of British English in 1994 and 2014

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