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Using FLOSS for Storing, Processing and Linking Corpus Data
Corpus data is widely used to solve different linguistic, educational and applied problems. The Tatar corpus management system (http://tugantel.tatar) is specifically developed for Turkic languages. The functionality of our corpus management system includes a search of lexical units, morphological a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198243/ http://dx.doi.org/10.1007/978-3-030-47240-5_17 |
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author | Mukhamedshin, Damir Nevzorova, Olga Kirillovich, Alexander |
author_facet | Mukhamedshin, Damir Nevzorova, Olga Kirillovich, Alexander |
author_sort | Mukhamedshin, Damir |
collection | PubMed |
description | Corpus data is widely used to solve different linguistic, educational and applied problems. The Tatar corpus management system (http://tugantel.tatar) is specifically developed for Turkic languages. The functionality of our corpus management system includes a search of lexical units, morphological and lexical search, a search of syntactic units, a search of N-grams and others. The search is performed using open source tools (database management system MariaDB, Redis data store). This article describes the process of choosing FLOSS for the main components of our system and also processing a search query and building a linked open dataset based on corpus data. |
format | Online Article Text |
id | pubmed-7198243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71982432020-05-05 Using FLOSS for Storing, Processing and Linking Corpus Data Mukhamedshin, Damir Nevzorova, Olga Kirillovich, Alexander Open Source Systems Article Corpus data is widely used to solve different linguistic, educational and applied problems. The Tatar corpus management system (http://tugantel.tatar) is specifically developed for Turkic languages. The functionality of our corpus management system includes a search of lexical units, morphological and lexical search, a search of syntactic units, a search of N-grams and others. The search is performed using open source tools (database management system MariaDB, Redis data store). This article describes the process of choosing FLOSS for the main components of our system and also processing a search query and building a linked open dataset based on corpus data. 2020-05-05 /pmc/articles/PMC7198243/ http://dx.doi.org/10.1007/978-3-030-47240-5_17 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Mukhamedshin, Damir Nevzorova, Olga Kirillovich, Alexander Using FLOSS for Storing, Processing and Linking Corpus Data |
title | Using FLOSS for Storing, Processing and Linking Corpus Data |
title_full | Using FLOSS for Storing, Processing and Linking Corpus Data |
title_fullStr | Using FLOSS for Storing, Processing and Linking Corpus Data |
title_full_unstemmed | Using FLOSS for Storing, Processing and Linking Corpus Data |
title_short | Using FLOSS for Storing, Processing and Linking Corpus Data |
title_sort | using floss for storing, processing and linking corpus data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198243/ http://dx.doi.org/10.1007/978-3-030-47240-5_17 |
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