Workbench for corpus tools accessing the Sydney Speaks corpus
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Jul 20, 2022 - Jupyter Notebook
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corpus-linguistics
Here are 5 public repositories matching this topic...
R Notebook and Dataset for a corpus-based study of Indonesian BUY verbs in applicative construction with -KAN (published in NUSA special issue on Applicative Construction). R notebook below 👇.
corpus-linguistics applicative indonesian-language construction-grammar indonesian-linguistics quantitative-corpus-linguistics usage-based-linguistics linguistik-korpus applicative-construction applicative-morphology usage-based-construction-grammar buy-verb konstruksi-aplikatif-bahasa-indonesia argument-structure argument-realisation usage-based-theory
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Nov 30, 2023 - HTML
Repository for R Markdown Notebook containing codes for the paper "vector space models and the usage patterns of Indonesian denominal verbs" (published in NUSA)
word2vec word-embeddings vector-space-model corpus-linguistics indonesian-language r-programming indonesian r-notebook r-project leipzig-corpora-collection indonesian-morphology
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Apr 1, 2020 - HTML
Repository of dataset, R Markdown Notebook with codes, and other ancillary materials for a book chapter (👇) on the conceptualisation of ANGER in Indonesian.
corpus-linguistics cognitive-models cognitive-linguistics indonesian-linguistics conceptual-metaphor-theory linguistik-kognitif anger-metaphor anger-metonymy metafora-marah metonimi-marah metaphorical-salience-approach conceptual-metaphor emotion-metaphor metafora-konseptual metafora-emosi metafora-amarah
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Oct 30, 2024 - TeX
Data and R Markdown Notebook for a conference paper titled "The lexicalisation of HAPPINESS in the Malayic varieties of Indonesia" presented at the International Seminar on Austronesian Languages and Literature IX, at the Faculty of Humanities, Udayana University, Indonesia (https://doi.org/10.6084/m9.figshare.15169911).
corpus-linguistics happiness indonesian-language malay malayic-languages mpi-eva-jfs austronesian-languages lexicalisation
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Updated
Apr 25, 2025 - HTML
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