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Frequency, Informativity and Word Length: Insights from Typologically Diverse Corpora
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In: Entropy; Volume 24; Issue 2; Pages: 280 (2022)
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Multi-word units (and tokenization more generally): a multi-dimensional and largely information-theoretic approach
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In: Lexis: Journal in English Lexicology, Vol 19 (2022) (2022)
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Meta-Learner for Amharic Sentiment Classification
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In: Applied Sciences ; Volume 11 ; Issue 18 (2021)
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You are kidding right? The English present progressive as a stance marker in film dialogue ...
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Abstract:
Telecinematic discourse is a highly involved and emotionally loaded register (Quaglio 2009; Forchini 2012) in which stance and emotionality are conveyed via a variety of linguistic structures, including intensifiers (Tagliamonte, Roberts 2005; Baños 2013), expletives (Azzaro 2018; Bednarek 2019), vocatives (Formentelli 2014; Zago 2015) and emotionally charged lexical bundles (Freddi 2011; Bednarek 2012). The current study focuses on the present progressive in English film dialogue as an additional stance marker, especially when used in non-aspectual functions. Following Leech et al. (2009)'s model, different uses of the present progressive are investigated in a corpus of filmic speech, the Pavia Corpus of Film Dialogue. After categorizing all the occurrences of present progressives in the corpus by their specific function (aspectual, futurate, stative, attitudinal), items are further classified based on their affiliative or disaffiliative stance. The focus is then narrowed down onto attitudinal, particularly ...
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Keyword:
disaffiliation; film dialogue; interpersonal stance; n-grams; present progressive
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URL: http://siba-ese.unisalento.it/index.php/linguelinguaggi/article/view/23265/20135 https://dx.doi.org/10.1285/i22390359v44p183
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An interactive visualization of Google Books Ngrams with R and Shiny : exploring a(n) historical increase in onset strength in a(n) huge database
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An interactive visualization of Google Books Ngrams with R and Shiny : exploring a(n) historical increase in onset strength in a(n) huge database
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DIGITAL TECHNOLOGIES FOR GRAMMATICAL ERROR CORRECTION: DEEP LEARNING METHODS & SYNTACTIC N-GRAMS
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In: Мова; No. 35 (2021) ; Мова; № 35 (2021) ; 2414-9489 ; 2307-4558 (2021)
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You are kidding right? The English present progressive as a stance marker in film dialogue
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In: Lingue e Linguaggi; Volume 44(2021); 183-202 (2021)
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Visualizing the development of prose styles in Horse Manuals from Early Modern English to Present-Day English
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02283138 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2020, Special Issue Visualisations in Historical Linguistics, Special issue on Visualisations in Historical Linguistics, pp.1-33 (2020)
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Frequency lists of character-level n-grams from the GOS 1.0 corpus 1.1
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Frequency lists of word-level n-grams from the GOS 1.0 corpus 1.1
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Visualizing the development of prose styles in Horse Manuals from Early Modern English to Present-Day English
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In: Journal of Data Mining and Digital Humanities, Vol Special issue on Visualisations in Historical Linguistics (2020) (2020)
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An interactive visualization of Google Books Ngrams with R and Shiny: Exploring a(n) historical increase in onset strength in a(n) huge database
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In: Journal of Data Mining and Digital Humanities, Vol Special issue on Visualisations in Historical Linguistics (2020) (2020)
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The necessity modals have to, must, need to and should: using n-grams to help identify common and distinct semantic and pragmatic aspects. 11.2: 220-243
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In: ISSN: 1876-1933 ; EISSN: 1876-1941 ; Constructions and Frames ; https://hal.archives-ouvertes.fr/hal-02369306 ; Constructions and Frames, John Benjamins, 2019, 11, pp.220 - 243. ⟨10.1075/cf.00029.cap⟩ (2019)
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The necessity modals have to, must, need to and should: using n-grams to help identify common and distinct semantic and pragmatic aspects
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In: ISSN: 1876-1933 ; EISSN: 1876-1941 ; Constructions and Frames ; https://hal.archives-ouvertes.fr/hal-02501498 ; Constructions and Frames, John Benjamins, 2019, 11 (2), pp.220-243. ⟨10.1075/cf.00029.cap⟩ (2019)
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Dependency tree extraction tool STARK 1.0
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Krsnik, Luka; Dobrovoljc, Kaja; Robnik-Šikonja, Marko. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019. : Faculty of Arts, University of Ljubljana, 2019. : Faculty of Computer and Information Science, University of Ljubljana, 2019
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