Morphology based text compression

With the rapid growth of online information, the number of documents in electronic media is very common increased. Easy and quick access to this information gets more important for the purpose of text compression. In recent years, a portion of the work in the field of text compression covers study a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Göksu, Hayriye, Diri, B
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computers Conferences Data compression Entropy Information technology Markov processes Morphology
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	48
container_issue
container_start_page	45
container_title
container_volume
creator	Göksu, Hayriye Diri, B
description	With the rapid growth of online information, the number of documents in electronic media is very common increased. Easy and quick access to this information gets more important for the purpose of text compression. In recent years, a portion of the work in the field of text compression covers study aimed to the morphological structure of the language. In this study, Turkish and English documents are compressed in the determination of the different decomposition methods and efficiency, this method has been to investigate the effects of compression. Turkish and English documents are parsed by using morphological structure. The next stage in the parsed document structure is applied to the compression process with Huffman compression method. As a result, created 10 different parsing techniques with which attempts were made on a different corpus.
doi_str_mv	10.1109/SIU.2010.5651231
format	Conference Proceeding
fullrecord	<record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5651231</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5651231</ieee_id><sourcerecordid>5651231</sourcerecordid><originalsourceid>FETCH-ieee_primary_56512313</originalsourceid><addsrcrecordid>eNp9zj0PgjAUheHrVyIqu4kL_gCwt4ULnY1GByd1JqhVMWBJyyD_XgZcnU7ePMsBmCMLEJlcHffngLO2IoqQC-yBK-MEQx6GkmKkPjicpPAFIQ1g8gOOwxaQIp8RS8bgWvtijCElXEjuwPKgTfXUhX403iWz6ubV6lN7V11WRlmb6_cMRvessMrtdgqL7ea03vm5UiqtTF5mpkm7V-K_fgGJIjPR</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Morphology based text compression</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Göksu, Hayriye ; Diri, B</creator><creatorcontrib>Göksu, Hayriye ; Diri, B</creatorcontrib><description>With the rapid growth of online information, the number of documents in electronic media is very common increased. Easy and quick access to this information gets more important for the purpose of text compression. In recent years, a portion of the work in the field of text compression covers study aimed to the morphological structure of the language. In this study, Turkish and English documents are compressed in the determination of the different decomposition methods and efficiency, this method has been to investigate the effects of compression. Turkish and English documents are parsed by using morphological structure. The next stage in the parsed document structure is applied to the compression process with Huffman compression method. As a result, created 10 different parsing techniques with which attempts were made on a different corpus.</description><identifier>ISSN: 2165-0608</identifier><identifier>ISBN: 1424496721</identifier><identifier>ISBN: 9781424496723</identifier><identifier>EISSN: 2693-3616</identifier><identifier>EISBN: 9781424496716</identifier><identifier>EISBN: 1424496713</identifier><identifier>EISBN: 9781424496709</identifier><identifier>EISBN: 1424496705</identifier><identifier>DOI: 10.1109/SIU.2010.5651231</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computers ; Conferences ; Data compression ; Entropy ; Information technology ; Markov processes ; Morphology</subject><ispartof>2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010, p.45-48</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5651231$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5651231$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Göksu, Hayriye</creatorcontrib><creatorcontrib>Diri, B</creatorcontrib><title>Morphology based text compression</title><title>2010 IEEE 18th Signal Processing and Communications Applications Conference</title><addtitle>SIU</addtitle><description>With the rapid growth of online information, the number of documents in electronic media is very common increased. Easy and quick access to this information gets more important for the purpose of text compression. In recent years, a portion of the work in the field of text compression covers study aimed to the morphological structure of the language. In this study, Turkish and English documents are compressed in the determination of the different decomposition methods and efficiency, this method has been to investigate the effects of compression. Turkish and English documents are parsed by using morphological structure. The next stage in the parsed document structure is applied to the compression process with Huffman compression method. As a result, created 10 different parsing techniques with which attempts were made on a different corpus.</description><subject>Computers</subject><subject>Conferences</subject><subject>Data compression</subject><subject>Entropy</subject><subject>Information technology</subject><subject>Markov processes</subject><subject>Morphology</subject><issn>2165-0608</issn><issn>2693-3616</issn><isbn>1424496721</isbn><isbn>9781424496723</isbn><isbn>9781424496716</isbn><isbn>1424496713</isbn><isbn>9781424496709</isbn><isbn>1424496705</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9zj0PgjAUheHrVyIqu4kL_gCwt4ULnY1GByd1JqhVMWBJyyD_XgZcnU7ePMsBmCMLEJlcHffngLO2IoqQC-yBK-MEQx6GkmKkPjicpPAFIQ1g8gOOwxaQIp8RS8bgWvtijCElXEjuwPKgTfXUhX403iWz6ubV6lN7V11WRlmb6_cMRvessMrtdgqL7ea03vm5UiqtTF5mpkm7V-K_fgGJIjPR</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Göksu, Hayriye</creator><creator>Diri, B</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>Morphology based text compression</title><author>Göksu, Hayriye ; Diri, B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_56512313</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Computers</topic><topic>Conferences</topic><topic>Data compression</topic><topic>Entropy</topic><topic>Information technology</topic><topic>Markov processes</topic><topic>Morphology</topic><toplevel>online_resources</toplevel><creatorcontrib>Göksu, Hayriye</creatorcontrib><creatorcontrib>Diri, B</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Göksu, Hayriye</au><au>Diri, B</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Morphology based text compression</atitle><btitle>2010 IEEE 18th Signal Processing and Communications Applications Conference</btitle><stitle>SIU</stitle><date>2010-04</date><risdate>2010</risdate><spage>45</spage><epage>48</epage><pages>45-48</pages><issn>2165-0608</issn><eissn>2693-3616</eissn><isbn>1424496721</isbn><isbn>9781424496723</isbn><eisbn>9781424496716</eisbn><eisbn>1424496713</eisbn><eisbn>9781424496709</eisbn><eisbn>1424496705</eisbn><abstract>With the rapid growth of online information, the number of documents in electronic media is very common increased. Easy and quick access to this information gets more important for the purpose of text compression. In recent years, a portion of the work in the field of text compression covers study aimed to the morphological structure of the language. In this study, Turkish and English documents are compressed in the determination of the different decomposition methods and efficiency, this method has been to investigate the effects of compression. Turkish and English documents are parsed by using morphological structure. The next stage in the parsed document structure is applied to the compression process with Huffman compression method. As a result, created 10 different parsing techniques with which attempts were made on a different corpus.</abstract><pub>IEEE</pub><doi>10.1109/SIU.2010.5651231</doi></addata></record>
fulltext	fulltext_linktorsrc
identifier	ISSN: 2165-0608
ispartof	2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010, p.45-48
issn	2165-0608 2693-3616
language	eng
recordid	cdi_ieee_primary_5651231
source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Computers Conferences Data compression Entropy Information technology Markov processes Morphology
title	Morphology based text compression
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T23%3A27%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Morphology%20based%20text%20compression&rft.btitle=2010%20IEEE%2018th%20Signal%20Processing%20and%20Communications%20Applications%20Conference&rft.au=Go%CC%88ksu,%20Hayriye&rft.date=2010-04&rft.spage=45&rft.epage=48&rft.pages=45-48&rft.issn=2165-0608&rft.eissn=2693-3616&rft.isbn=1424496721&rft.isbn_list=9781424496723&rft_id=info:doi/10.1109/SIU.2010.5651231&rft_dat=%3Cieee_6IE%3E5651231%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424496716&rft.eisbn_list=1424496713&rft.eisbn_list=9781424496709&rft.eisbn_list=1424496705&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5651231&rfr_iscdi=true