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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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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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