Exploring Ghanaians’ Usage of ei, ehe, eh, and eish in Global Web-Based English Corpus

Anderson, Jemima Asabea; Agbaglo, Ebenezer; Thompson, Rachel G. A.

doi:10.1007/s41701-024-00164-3

Corpus Pragmatics

2024

DOI: 10.1007/s41701-024-00164-3

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Exploring Ghanaians’ Usage of ei, ehe, eh, and eish in Global Web-Based English Corpus

Jemima Asabea Anderson,

Ebenezer Agbaglo,

Rachel G. A. Thompson

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2024

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Cited by 2 publications

References 34 publications

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Speech recognition using an english multimodal corpus with integrated image and depth information

Wang

2024

Sci Rep

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Traditional English corpora mainly collect information from a single modality, but lack information from multimodal information, resulting in low quality of corpus information and certain problems with recognition accuracy. To solve the above problems, this paper proposes to introduce depth information into multimodal corpora, and studies the construction method of English multimodal corpora that integrates electronic images and depth information, as well as the speech recognition method of the corpus. The multimodal fusion strategy adopted integrates speech signals and image information, including key visual information such as the speaker’s lip movements and facial expressions, and uses deep learning technology to mine acoustic and visual features. The acoustic model in the Kaldi toolkit is used for experimental research.Through experimental research, the following conclusions were drawn: Under 15-dimensional lip features, the accuracy of corpus A under monophone model was 2.4% higher than that of corpus B under monophone model when the SNR (signal-to-noise ratio) was 10dB, and the accuracy of corpus A under the triphone model at the signal-to-noise ratio of 10dB was 1.7% higher than that of corpus B under the triphone model at the signal-to-noise ratio of 10dB. Under the 32-dimensional lip features, the speech recognition effect of corpus A under the monophone model at the SNR of 10dB was 1.4% higher than that of corpus B under the monophone model at the SNR of 10dB, and the accuracy of corpus A under the triphone model at the SNR of 10dB was 2.6% higher than that of corpus B under the triphone model at the SNR of 10dB. The English multimodal corpus with image and depth information has a high accuracy, and the depth information helps to improve the accuracy of the corpus.

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Speech recognition using an english multimodal corpus with integrated image and depth information

Wang

2024

Sci Rep

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“Eish it’s getting really interesting”: borrowed interjections in South African English

Unuabonah,

Mabena

2024

Multilingua

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This article offers a descriptive account of seven interjections, eish, yho, tjo, sho, hayi, hau, and mxm, which are adopted from different local South African languages into South African English. It investigates the frequencies, orthography, syntactic position, collocational forms and discourse-pragmatic roles of these seven interjections, through the lens of pragmatic borrowing and postcolonial corpus pragmatics. The data were retrieved from the South African segment of the Global Web-based English corpus and underwent quantitative and qualitative analysis. The findings indicate that the interjections are all emotive interjections, which mostly express negative emotions, except hayi, which is a phatic interjection that is largely used to show disapproval of some information. All the interjections favour clause-initial position except mxm, which is a loan interjection that represents the kiss-teeth or suck-teeth oral gesture that is common in some parts of Africa and the Caribbean. The article affirms that these loaned interjections accentuate the distinction of South African English from other varieties of English.

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Exploring Ghanaians’ Usage of ei, ehe, eh, and eish in Global Web-Based English Corpus

Cited by 2 publications

References 34 publications

Speech recognition using an english multimodal corpus with integrated image and depth information

Speech recognition using an english multimodal corpus with integrated image and depth information

“Eish it’s getting really interesting”: borrowed interjections in South African English

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