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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 Hits 1 – 20 of 120 1 Frequency, Informativity and Word Length: Insights from Typologically Diverse Corpora Natalia Levshina In: Entropy; Volume 24; Issue 2; Pages: 280 (2022) Abstract: Zipf’s law of abbreviation, which posits a negative correlation between word frequency and length, is one of the most famous and robust cross-linguistic generalizations. At the same time, it has been shown that contextual informativity (average surprisal given previous context) is more strongly correlated with word length, although this tendency is not observed consistently, depending on several methodological choices. The present study examines a more diverse sample of languages than the previous studies (Arabic, Finnish, Hungarian, Indonesian, Russian, Spanish and Turkish). I use large web-based corpora from the Leipzig Corpora Collection to estimate word lengths in UTF-8 characters and in phonemes (for some of the languages), as well as word frequency, informativity given previous word and informativity given next word, applying different methods of bigrams processing. The results show different correlations between word length and the corpus-based measure for different languages. I argue that these differences can be explained by the properties of noun phrases in a language, most importantly, by the order of heads and modifiers and their relative morphological complexity, as well as by orthographic conventions. Keyword: corpora; frequency; informativity; linguistic typology; n-grams; Zipf’s law of abbreviation URL: https://doi.org/10.3390/e24020280 BASE Hide details 2 Romance morphology in diachrony through Google n-grams ... Radimský, Jan. - : Open Science Framework, 2022 BASE Show details 3 Multi-word units (and tokenization more generally): a multi-dimensional and largely information-theoretic approach Stefan Th. Gries In: Lexis: Journal in English Lexicology, Vol 19 (2022) (2022) BASE Show details 4 Meta-Learner for Amharic Sentiment Classification Girma Neshir; Andreas Rauber; Solomon Atnafu In: Applied Sciences ; Volume 11 ; Issue 18 (2021) BASE Show details 5 You are kidding right? The English present progressive as a stance marker in film dialogue ... Ghia, Elisa. - : University of Salento, 2021 BASE Show details 6 An interactive visualization of Google Books Ngrams with R and Shiny : exploring a(n) historical increase in onset strength in a(n) huge database Vetter, Fabian; Schlüter, Julia. - 2021 BASE Show details 7 An interactive visualization of Google Books Ngrams with R and Shiny : exploring a(n) historical increase in onset strength in a(n) huge database Vetter, Fabian; Schlüter, Julia. - : Otto-Friedrich-Universität, 2021. : Bamberg, 2021 BASE Show details 8 DIGITAL TECHNOLOGIES FOR GRAMMATICAL ERROR CORRECTION: DEEP LEARNING METHODS & SYNTACTIC N-GRAMS POZHARYTSKA , Olena; TROITSKYI , Kyrylo In: Мова; No. 35 (2021) ; Мова; № 35 (2021) ; 2414-9489 ; 2307-4558 (2021) BASE Show details 9 You are kidding right? The English present progressive as a stance marker in film dialogue Ghia, Elisa In: Lingue e Linguaggi; Volume 44(2021); 183-202 (2021) BASE Show details 10 Visualizing the development of prose styles in Horse Manuals from Early Modern English to Present-Day English Lubbers, Thijs; Los, Bettelou 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) BASE Show details 11 Frequency lists of character-level n-grams from the GOS 1.0 corpus 1.1 Čibej, Jaka; Arhar Holdt, Špela; Dobrovoljc, Kaja. - : Centre for Language Resources and Technologies, University of Ljubljana, 2020. : Jožef Stefan Institute, 2020 BASE Show details 12 List of formulaic sequences in spoken Slovenian Dobrovoljc, Kaja; Roblek, Rebeka; Vianello, Chiara. - : Jožef Stefan Institute, 2020. : Centre for Language Resources and Technologies, University of Ljubljana, 2020 BASE Show details 13 Frequency lists of word-level n-grams from the GOS 1.0 corpus 1.1 Čibej, Jaka; Arhar Holdt, Špela; Dobrovoljc, Kaja. - : Centre for Language Resources and Technologies, University of Ljubljana, 2020. : Jožef Stefan Institute, 2020 BASE Show details 14 List of formulaic sequences in standard written Slovenian Dobrovoljc, Kaja; Roblek, Rebeka; Vianello, Chiara. - : Jožef Stefan Institute, 2020. : Centre for Language Resources and Technologies, University of Ljubljana, 2020 BASE Show details 15 Visualizing the development of prose styles in Horse Manuals from Early Modern English to Present-Day English Thijs Lubbers; Bettelou Los In: Journal of Data Mining and Digital Humanities, Vol Special issue on Visualisations in Historical Linguistics (2020) (2020) BASE Show details 16 An interactive visualization of Google Books Ngrams with R and Shiny: Exploring a(n) historical increase in onset strength in a(n) huge database Julia Schlüter; Fabian Vetter In: Journal of Data Mining and Digital Humanities, Vol Special issue on Visualisations in Historical Linguistics (2020) (2020) BASE Show details 17 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 Cappelle, Bert; Depraetere, Ilse; Lesuisse, Mégane 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) BASE Show details 18 The necessity modals have to, must, need to and should: using n-grams to help identify common and distinct semantic and pragmatic aspects Cappelle, Bert; Depraetere, Ilse; Lesuisse, Mégane 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) BASE Show details 19 Keywords and n-grams from a textbook corpus Kosem, Iztok; Pori, Eva; Arhar Holdt, Špela. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019 BASE Show details 20 Dependency tree extraction tool STARK 1.0 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 BASE Show details Page: 1 2 3 4 5 6

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