Issues in Distributive-Semantic Analysis of Skeleton Structures in Language Data Processing Tasks
An approach is suggested that allows the construction of skeleton text structures on the basis of the distributive analysis of sentences; the approach consists in the structuring and formalization of language data and allows unique lexical and grammatical distributive patterns to be determined. The...
Gespeichert in:
Veröffentlicht in: | Automatic documentation and mathematical linguistics 2023-06, Vol.57 (3), p.156-165 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 165 |
---|---|
container_issue | 3 |
container_start_page | 156 |
container_title | Automatic documentation and mathematical linguistics |
container_volume | 57 |
creator | Mylnikova, A. V. Mylnikov, L. A. |
description | An approach is suggested that allows the construction of skeleton text structures on the basis of the distributive analysis of sentences; the approach consists in the structuring and formalization of language data and allows unique lexical and grammatical distributive patterns to be determined. The notation system and a data formalization method are proposed for training the text analysis model. |
doi_str_mv | 10.3103/S0005105523030032 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2859923049</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2859923049</sourcerecordid><originalsourceid>FETCH-LOGICAL-c246t-3df7061a4bf6280e72f7ee241818cdbf4728004634be924fbae615eb9cd556d23</originalsourceid><addsrcrecordid>eNp1kFtLw0AQhRdRsFZ_gG8LPkf3mstjab1BQSH1OWyS2bK9JHVnI_TfuyWCD-LTMHPON8wcQm45u5ecyYeSMaY501pIJhmT4oxMeCFVksuMn5PJSU5O-iW5QtzETueFmhDzijgAUtfRhcPgXT0E9wVJCXvTBdfQWWd2R3RIe0vLLewg9B0tgx-aMPgRXJpuPZg10IUJhr77vgFE163pyuAWr8mFNTuEm586JR9Pj6v5S7J8e36dz5ZJI1QaEtnajKXcqNqmImeQCZsBCMVznjdtbVUWp0ylUtVQCGVrAynXUBdNq3XaCjkld-Peg-8_40uh2vSDj9djJXJdFDEYVUQXH12N7xE92Org3d74Y8VZdUqy-pNkZMTIYPR2a_C_m_-HvgGqqHUg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2859923049</pqid></control><display><type>article</type><title>Issues in Distributive-Semantic Analysis of Skeleton Structures in Language Data Processing Tasks</title><source>SpringerLink Journals - AutoHoldings</source><creator>Mylnikova, A. V. ; Mylnikov, L. A.</creator><creatorcontrib>Mylnikova, A. V. ; Mylnikov, L. A.</creatorcontrib><description>An approach is suggested that allows the construction of skeleton text structures on the basis of the distributive analysis of sentences; the approach consists in the structuring and formalization of language data and allows unique lexical and grammatical distributive patterns to be determined. The notation system and a data formalization method are proposed for training the text analysis model.</description><identifier>ISSN: 0005-1055</identifier><identifier>EISSN: 1934-8371</identifier><identifier>DOI: 10.3103/S0005105523030032</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Automated Text Processing ; Computer Science ; Data processing ; Information Storage and Retrieval ; Sentences</subject><ispartof>Automatic documentation and mathematical linguistics, 2023-06, Vol.57 (3), p.156-165</ispartof><rights>Allerton Press, Inc. 2023. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2023, Vol. 57, No. 3, pp. 156–165. © Allerton Press, Inc., 2023. Russian Text © The Author(s), 2023, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2023, No. 5, pp. 21–30.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c246t-3df7061a4bf6280e72f7ee241818cdbf4728004634be924fbae615eb9cd556d23</citedby><cites>FETCH-LOGICAL-c246t-3df7061a4bf6280e72f7ee241818cdbf4728004634be924fbae615eb9cd556d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.3103/S0005105523030032$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.3103/S0005105523030032$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Mylnikova, A. V.</creatorcontrib><creatorcontrib>Mylnikov, L. A.</creatorcontrib><title>Issues in Distributive-Semantic Analysis of Skeleton Structures in Language Data Processing Tasks</title><title>Automatic documentation and mathematical linguistics</title><addtitle>Autom. Doc. Math. Linguist</addtitle><description>An approach is suggested that allows the construction of skeleton text structures on the basis of the distributive analysis of sentences; the approach consists in the structuring and formalization of language data and allows unique lexical and grammatical distributive patterns to be determined. The notation system and a data formalization method are proposed for training the text analysis model.</description><subject>Automated Text Processing</subject><subject>Computer Science</subject><subject>Data processing</subject><subject>Information Storage and Retrieval</subject><subject>Sentences</subject><issn>0005-1055</issn><issn>1934-8371</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kFtLw0AQhRdRsFZ_gG8LPkf3mstjab1BQSH1OWyS2bK9JHVnI_TfuyWCD-LTMHPON8wcQm45u5ecyYeSMaY501pIJhmT4oxMeCFVksuMn5PJSU5O-iW5QtzETueFmhDzijgAUtfRhcPgXT0E9wVJCXvTBdfQWWd2R3RIe0vLLewg9B0tgx-aMPgRXJpuPZg10IUJhr77vgFE163pyuAWr8mFNTuEm586JR9Pj6v5S7J8e36dz5ZJI1QaEtnajKXcqNqmImeQCZsBCMVznjdtbVUWp0ylUtVQCGVrAynXUBdNq3XaCjkld-Peg-8_40uh2vSDj9djJXJdFDEYVUQXH12N7xE92Org3d74Y8VZdUqy-pNkZMTIYPR2a_C_m_-HvgGqqHUg</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Mylnikova, A. V.</creator><creator>Mylnikov, L. A.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20230601</creationdate><title>Issues in Distributive-Semantic Analysis of Skeleton Structures in Language Data Processing Tasks</title><author>Mylnikova, A. V. ; Mylnikov, L. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c246t-3df7061a4bf6280e72f7ee241818cdbf4728004634be924fbae615eb9cd556d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Automated Text Processing</topic><topic>Computer Science</topic><topic>Data processing</topic><topic>Information Storage and Retrieval</topic><topic>Sentences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mylnikova, A. V.</creatorcontrib><creatorcontrib>Mylnikov, L. A.</creatorcontrib><collection>CrossRef</collection><jtitle>Automatic documentation and mathematical linguistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mylnikova, A. V.</au><au>Mylnikov, L. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Issues in Distributive-Semantic Analysis of Skeleton Structures in Language Data Processing Tasks</atitle><jtitle>Automatic documentation and mathematical linguistics</jtitle><stitle>Autom. Doc. Math. Linguist</stitle><date>2023-06-01</date><risdate>2023</risdate><volume>57</volume><issue>3</issue><spage>156</spage><epage>165</epage><pages>156-165</pages><issn>0005-1055</issn><eissn>1934-8371</eissn><abstract>An approach is suggested that allows the construction of skeleton text structures on the basis of the distributive analysis of sentences; the approach consists in the structuring and formalization of language data and allows unique lexical and grammatical distributive patterns to be determined. The notation system and a data formalization method are proposed for training the text analysis model.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.3103/S0005105523030032</doi><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0005-1055 |
ispartof | Automatic documentation and mathematical linguistics, 2023-06, Vol.57 (3), p.156-165 |
issn | 0005-1055 1934-8371 |
language | eng |
recordid | cdi_proquest_journals_2859923049 |
source | SpringerLink Journals - AutoHoldings |
subjects | Automated Text Processing Computer Science Data processing Information Storage and Retrieval Sentences |
title | Issues in Distributive-Semantic Analysis of Skeleton Structures in Language Data Processing Tasks |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T19%3A10%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Issues%20in%20Distributive-Semantic%20Analysis%20of%20Skeleton%20Structures%20in%20Language%20Data%20Processing%20Tasks&rft.jtitle=Automatic%20documentation%20and%20mathematical%20linguistics&rft.au=Mylnikova,%20A.%20V.&rft.date=2023-06-01&rft.volume=57&rft.issue=3&rft.spage=156&rft.epage=165&rft.pages=156-165&rft.issn=0005-1055&rft.eissn=1934-8371&rft_id=info:doi/10.3103/S0005105523030032&rft_dat=%3Cproquest_cross%3E2859923049%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2859923049&rft_id=info:pmid/&rfr_iscdi=true |