Automation of the Process for Obtaining Linguistic Information: State-of-the-Art Capabilities

The paper is devoted to the process automation for solution of some problems in linguistic analysis. The review part of the article describes the variety of current linguistic software. We give its classification as follows: electronic dictionaries and thesauri, text conversion programs and text gen...

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Main Authors: Andrey V. Svetlov, Anatoly S. Komendantov
Format: Article
Language:English
Published: Volgograd State University 2017-07-01
Series:Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie
Subjects:
Online Access:https://l.jvolsu.com/index.php/en/component/attachments/download/1542
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author Andrey V. Svetlov
Anatoly S. Komendantov
author_facet Andrey V. Svetlov
Anatoly S. Komendantov
author_sort Andrey V. Svetlov
collection DOAJ
description The paper is devoted to the process automation for solution of some problems in linguistic analysis. The review part of the article describes the variety of current linguistic software. We give its classification as follows: electronic dictionaries and thesauri, text conversion programs and text generators, programs for analysis and linguistic processing of documents, natural language processing systems. For each group we mention some examples of relevant applications or web services. In addition, we discuss current capabilities of the software, their scope of use and development prospects. In the main part of the work we overview the add-on we created for the MyStem stemming utility by Ilya Segalovich. The application adds to the features of the utility a user-friendly graphical interface that is easy to learn and intuitive to users who do not specialize in information technology. The algorithm implemented in the software is based on using the results of stemming process to solve some specific problems. It intercepts the output of the MyStem utility, then reformats it and run some specific analysis. The results of this analysis are the basis for main processes of the addon. This way we can get the frequency analysis of the text, can extract any certain parts of speech, and select inciting words in the text. The examples in this part of paper show the results of all units of the software. In conclusion we made several remarks on the prospects for the development of our application.
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spelling doaj.art-8e248f21dd5a4e58b505994787a438772022-12-21T20:03:43ZengVolgograd State UniversityVestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie1998-99112409-19792017-07-01162394610.15688/jvolsu2.2017.2.4Automation of the Process for Obtaining Linguistic Information: State-of-the-Art CapabilitiesAndrey V. Svetlov0Anatoly S. Komendantov1Volgograd State UniversityVolgograd State UniversityThe paper is devoted to the process automation for solution of some problems in linguistic analysis. The review part of the article describes the variety of current linguistic software. We give its classification as follows: electronic dictionaries and thesauri, text conversion programs and text generators, programs for analysis and linguistic processing of documents, natural language processing systems. For each group we mention some examples of relevant applications or web services. In addition, we discuss current capabilities of the software, their scope of use and development prospects. In the main part of the work we overview the add-on we created for the MyStem stemming utility by Ilya Segalovich. The application adds to the features of the utility a user-friendly graphical interface that is easy to learn and intuitive to users who do not specialize in information technology. The algorithm implemented in the software is based on using the results of stemming process to solve some specific problems. It intercepts the output of the MyStem utility, then reformats it and run some specific analysis. The results of this analysis are the basis for main processes of the addon. This way we can get the frequency analysis of the text, can extract any certain parts of speech, and select inciting words in the text. The examples in this part of paper show the results of all units of the software. In conclusion we made several remarks on the prospects for the development of our application.https://l.jvolsu.com/index.php/en/component/attachments/download/1542automationlinguistic analysismorphological analysisautomation of linguistic analysisautomation of morphological analysisstemminggraphical interfacesoftware shell
spellingShingle Andrey V. Svetlov
Anatoly S. Komendantov
Automation of the Process for Obtaining Linguistic Information: State-of-the-Art Capabilities
Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie
automation
linguistic analysis
morphological analysis
automation of linguistic analysis
automation of morphological analysis
stemming
graphical interface
software shell
title Automation of the Process for Obtaining Linguistic Information: State-of-the-Art Capabilities
title_full Automation of the Process for Obtaining Linguistic Information: State-of-the-Art Capabilities
title_fullStr Automation of the Process for Obtaining Linguistic Information: State-of-the-Art Capabilities
title_full_unstemmed Automation of the Process for Obtaining Linguistic Information: State-of-the-Art Capabilities
title_short Automation of the Process for Obtaining Linguistic Information: State-of-the-Art Capabilities
title_sort automation of the process for obtaining linguistic information state of the art capabilities
topic automation
linguistic analysis
morphological analysis
automation of linguistic analysis
automation of morphological analysis
stemming
graphical interface
software shell
url https://l.jvolsu.com/index.php/en/component/attachments/download/1542
work_keys_str_mv AT andreyvsvetlov automationoftheprocessforobtaininglinguisticinformationstateoftheartcapabilities
AT anatolyskomendantov automationoftheprocessforobtaininglinguisticinformationstateoftheartcapabilities