Tony McEnery and Vaclav Brezina. Fundamental principles of corpus linguistics. Cambridge: Cambridge University Press, 2022. 313 pp. ISBN 978-1-1071-1062-5

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The Corpus of Contemporary English Legal Decisions, 1950–2021 (CoCELD): A new tool for analysing recent changes in English legal discourse

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Pascual Pérez-Paredes and Geraldine Mark (eds.). Beyond concordance lines: Corpora in language education. Amsterdam/Philadelphia: John Benjamins Publishing Company, 2021. ix. 255 p...

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Reconceptualizing Translation in Light of Complexity Thinking: From Translation Turns to the Translation Complex

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The Loterie des Lingots d’or: Chance, Power, and Social Control in Nineteenth-Century France

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Event and Agent Nominalisations Across Academic, Spoken, and Fiction Registers in Contemporary English: A Pilot Corpus Study of Clausal Density

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Retraction Note: An effective tumor detection approach using denoised MRI based on fuzzy bayesian segmentation approach

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Retraction Note: hybrid optimization for virtual machine migration of utilizing healthcare text in the cloud

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Multilingual early fusion approach for Alzheimer’s dementia detection, including Urdu

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Enhancing Malayalam speech recognition through multifractal analysis

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Transformer-based fusion of acoustic and textual cues with proportional augmentation for emotion recognition

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Fine-tuning SpeechT5 for tamazight text-to-speech: a foundation for educational technology in low-resource languages

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Translation of Telugu to English speech

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Automatic speech recognition for Armenian dialects

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Convolutional kolmogorov-arnold network(CKAN) based spoofing countermeasure System(SCMS)

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Speech enhancement by using different signal processing methods: a tutorial review

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From Arabizi to Arabic script: auto-supervised transliteration for Moroccan Darija using lightweight phonetic-semantic embeddings

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Cancellable biometric system based on FWHT and scan pattern algorithm for network security access

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Layer-wise analysis of Wav2Vec for early detection of cognitive decline

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Speech-driven diagnostic model for early detection of Parkinson’s disease using machine learning and deep learning techniques

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