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Frequency lists of words from the GOS 1.0 corpus
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Abstract:
Frequency lists of words were extracted from the GOS 1.0 Corpus of Spoken Slovene (http://hdl.handle.net/11356/1040) using the LIST corpus extraction tool (http://hdl.handle.net/11356/1227). The lists contain all words occurring in the corpus along with their absolute and relative frequencies, percentages, and distribution across the text-types included in the corpus taxonomy. The lists were extracted for each part-of-speech category. For each part-of-speech, two lists were extracted: 1) one containing lemmas and their text-type distribution, 2) one containing lower-case word forms as well as their normalized forms, lemmas, and morphosyntactic tags along with their text-type distribution. In addition, four lists were extracted from all words (regardless of their part-of-speech category): 1) a list of all lemmas along with their part-of-speech category and text-type distribution; 2) a list of all lower-case word forms with their lemmas, part-of-speech categories, and text-type distribution; 3) a list of all lower-case word forms with their normalized word forms, lemmas, part-of-speech categories, and text-type distribution; 4) a list of all morphosyntactic tags and their text-type distribution (the tags are also split into several columns).
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Keyword:
frequency list; lemmas; normalized forms; Slovenian language; spoken corpus; words
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URL: http://hdl.handle.net/11356/1269
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| 46 |
Corpus extraction tool LIST 1.2
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Krsnik, Luka; Arhar Holdt, Špela; Čibej, Jaka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019. : Faculty of Computer and Information Science, University of Ljubljana, 2019. : Jožef Stefan Institute, 2019
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| 50 |
Frequency lists of character-level n-grams from the Gigafida 2.0 corpus
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| 52 |
Developmental corpus (without language corrections) Šolar 2.0 Clear
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| 53 |
Frequency lists of word-level n-grams from the Gigafida 2.0 corpus
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| 54 |
Frequency lists of word-level n-grams from the GOS 1.0 corpus
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| 55 |
Frequency lists of character-level n-grams from the GOS 1.0 corpus
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| 56 |
Corpus extraction tool LIST 1.0
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Krsnik, Luka; Arhar Holdt, Špela; Čibej, Jaka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2019. : Faculty of Computer and Information Science, University of Ljubljana, 2019. : Jožef Stefan Institute, 2019
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