Segmentation of Mixed Chinese/English Document Including Scattered Italic Characters
Identifieur interne : 002815 ( Istex/Corpus ); précédent : 002814; suivant : 002816Segmentation of Mixed Chinese/English Document Including Scattered Italic Characters
Auteurs : Yong Xia ; Chun-Heng Wang ; Ru-Wei DaiSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: It is difficult to segment mixed Chinese/English documents when there are many italic characters scattered in documents. Most contributions attach more attention to English documents. However, mixed document is different from English document and some special features should be considered. This paper gives a new way to solve the problem. At first, an appropriate character area is chosen to detect italic. Next, a two-step strategy is adopted. Italic determination is done first and then if the character pattern is identified as italic, the estimation of slant angle will be done. Finally the italic character pattern is corrected by shear transform. A method of adopting two-step weighted projection profile histogram for italic determination is introduced. And a fast algorithm to estimate slant angle is also introduced. Three large sample collections, including character and character-pair and document respectively, are provided to evaluate our method and encouraging results are achieved.
Url:
DOI: 10.1007/11940098_2
Links to Exploration step
ISTEX:DD409C0DADEED45D7BE31E2E877D68EFE748A53DLe document en format XML
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Most contributions attach more attention to English documents. However, mixed document is different from English document and some special features should be considered. This paper gives a new way to solve the problem. At first, an appropriate character area is chosen to detect italic. Next, a two-step strategy is adopted. Italic determination is done first and then if the character pattern is identified as italic, the estimation of slant angle will be done. Finally the italic character pattern is corrected by shear transform. A method of adopting two-step weighted projection profile histogram for italic determination is introduced. And a fast algorithm to estimate slant angle is also introduced. Three large sample collections, including character and character-pair and document respectively, are provided to evaluate our method and encouraging results are achieved.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Yong Xia</name><affiliations><json:string>Laboratory of Complex System and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China</json:string><json:string>E-mail: yong.xia@ia.ac.cn</json:string></affiliations></json:item><json:item><name>Chun-Heng Wang</name><affiliations><json:string>Laboratory of Complex System and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China</json:string><json:string>E-mail: chunheng.wang@ia.ac.cn</json:string></affiliations></json:item><json:item><name>Ru-Wei Dai</name><affiliations><json:string>Laboratory of Complex System and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China</json:string><json:string>E-mail: ruwei.dai@ia.ac.cn</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: It is difficult to segment mixed Chinese/English documents when there are many italic characters scattered in documents. 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type="first">Min</forename><surname>Zhang</surname></persName><email>miz14@pitt.edu</email><affiliation>State Key Lab of Intelligent Tech. & Sys., Tsinghua University,</affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><biblScope type="seriesId">1244</biblScope></series><idno type="istex">DD409C0DADEED45D7BE31E2E877D68EFE748A53D</idno><idno type="DOI">10.1007/11940098_2</idno><idno type="ChapterID">2</idno><idno type="ChapterID">Chap2</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2006</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: It is difficult to segment mixed Chinese/English documents when there are many italic characters scattered in documents. Most contributions attach more attention to English documents. However, mixed document is different from English document and some special features should be considered. This paper gives a new way to solve the problem. At first, an appropriate character area is chosen to detect italic. Next, a two-step strategy is adopted. Italic determination is done first and then if the character pattern is identified as italic, the estimation of slant angle will be done. Finally the italic character pattern is corrected by shear transform. A method of adopting two-step weighted projection profile histogram for italic determination is introduced. And a fast algorithm to estimate slant angle is also introduced. Three large sample collections, including character and character-pair and document respectively, are provided to evaluate our method and encouraging results are achieved.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I21017</label><label>I16048</label><label>I21041</label><label>I18030</label><label>I16021</label><label>I21033</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><SubSeries><SubSeriesInfo><SubSeriesID>1244</SubSeriesID><SubSeriesPrintISSN>0302-9743</SubSeriesPrintISSN><SubSeriesElectronicISSN>1611-3349</SubSeriesElectronicISSN><SubSeriesTitle Language="En">Lecture Notes in Artificial Intelligence</SubSeriesTitle></SubSeriesInfo><SubSeriesHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Jaime</GivenName><GivenName>G.</GivenName><FamilyName>Carbonell</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Jörg</GivenName><FamilyName>Siekmann</FamilyName></EditorName></Editor><Affiliation ID="Aff16"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SubSeriesHeader></SubSeries><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-49668-7</BookID><BookTitle>Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead</BookTitle><BookSubTitle>21st International Conference, ICCPOL 2006, Singapore, December 17-19, 2006. Proceedings</BookSubTitle><BookVolumeNumber>4285</BookVolumeNumber><BookSequenceNumber>4285</BookSequenceNumber><BookDOI>10.1007/11940098</BookDOI><BookTitleID>142982</BookTitleID><BookPrintISBN>978-3-540-49667-0</BookPrintISBN><BookElectronicISBN>978-3-540-49668-7</BookElectronicISBN><BookChapterCount>56</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I21017" Priority="1" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I16048" Priority="2" Type="Secondary">Mathematical Logic and Formal Languages</BookSubject><BookSubject Code="I21041" Priority="3" Type="Secondary">Language Translation and Linguistics</BookSubject><BookSubject Code="I18030" Priority="4" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I16021" Priority="5" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><BookSubject Code="I21033" Priority="6" Type="Secondary">Document Preparation and Text Processing</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Yuji</GivenName><FamilyName>Matsumoto</FamilyName></EditorName><Contact><Email>matsu@is.naist.jp</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Richard</GivenName><GivenName>W.</GivenName><FamilyName>Sproat</FamilyName></EditorName><Contact><Email>rws@xoba.com</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Kam-Fai</GivenName><FamilyName>Wong</FamilyName></EditorName><Contact><Email>kfwong@se.cuhk.edu.hk</Email></Contact></Editor><Editor AffiliationIDS="Aff21"><EditorName DisplayOrder="Western"><GivenName>Min</GivenName><FamilyName>Zhang</FamilyName></EditorName><Contact><Email>miz14@pitt.edu</Email></Contact></Editor><Affiliation ID="Aff18"><OrgDivision>Graduate School of Information Science</OrgDivision><OrgName>Nara Institute of Science and Technology</OrgName><OrgAddress><Postcode>630-0192</Postcode><City>Takayama, Ikoma, Nara</City><Country>Japan</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Dept of ECE</OrgDivision><OrgName>University of Illinois at Urbana Champaign</OrgName><OrgAddress><Postcode>IL 61801</Postcode><City>Urbana</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Department of Systems Engineering and Engineering Management</OrgDivision><OrgName>The Chinese University of Hong Kong</OrgName><OrgAddress><City>Shatin, N.T., Hong Kong</City></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgDivision>State Key Lab of Intelligent Tech. & Sys.</OrgDivision><OrgName>Tsinghua University</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Information Retrieval/Document Classification/QA/ Summarization I</PartTitle><PartChapterCount>5</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Computer Processing of Oriental Languages</BookTitle></PartContext></PartInfo><Chapter ID="Chap2" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>2</ChapterID><ChapterDOI>10.1007/11940098_2</ChapterDOI><ChapterSequenceNumber>2</ChapterSequenceNumber><ChapterTitle Language="En">Segmentation of Mixed Chinese/English Document Including Scattered Italic Characters</ChapterTitle><ChapterFirstPage>13</ChapterFirstPage><ChapterLastPage>21</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>1</PartID><BookID>978-3-540-49668-7</BookID><BookTitle>Computer Processing of Oriental Languages</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Yong</GivenName><FamilyName>Xia</FamilyName></AuthorName><Contact><Email>yong.xia@ia.ac.cn</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Chun-Heng</GivenName><FamilyName>Wang</FamilyName></AuthorName><Contact><Email>chunheng.wang@ia.ac.cn</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Ru-Wei</GivenName><FamilyName>Dai</FamilyName></AuthorName><Contact><Email>ruwei.dai@ia.ac.cn</Email></Contact></Author><Affiliation ID="Aff22"><OrgDivision>Laboratory of Complex System and Intelligence Science, Institute of Automation</OrgDivision><OrgName>Chinese Academy of Sciences</OrgName><OrgAddress><City>Beijing</City><Postcode>100080</Postcode><Country>China</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>It is difficult to segment mixed Chinese/English documents when there are many italic characters scattered in documents. Most contributions attach more attention to English documents. However, mixed document is different from English document and some special features should be considered. This paper gives a new way to solve the problem. At first, an appropriate character area is chosen to detect italic. Next, a two-step strategy is adopted. Italic determination is done first and then if the character pattern is identified as italic, the estimation of slant angle will be done. Finally the italic character pattern is corrected by shear transform. A method of adopting two-step weighted projection profile histogram for italic determination is introduced. And a fast algorithm to estimate slant angle is also introduced. Three large sample collections, including character and character-pair and document respectively, are provided to evaluate our method and encouraging results are achieved.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Segmentation of Mixed Chinese/English Document Including Scattered Italic Characters</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Segmentation of Mixed Chinese/English Document Including Scattered Italic Characters</title></titleInfo><name type="personal"><namePart type="given">Yong</namePart><namePart type="family">Xia</namePart><affiliation>Laboratory of Complex System and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China</affiliation><affiliation>E-mail: yong.xia@ia.ac.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chun-Heng</namePart><namePart type="family">Wang</namePart><affiliation>Laboratory of Complex System and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China</affiliation><affiliation>E-mail: chunheng.wang@ia.ac.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ru-Wei</namePart><namePart type="family">Dai</namePart><affiliation>Laboratory of Complex System and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, China</affiliation><affiliation>E-mail: ruwei.dai@ia.ac.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2006</dateIssued><copyrightDate encoding="w3cdtf">2006</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: It is difficult to segment mixed Chinese/English documents when there are many italic characters scattered in documents. Most contributions attach more attention to English documents. However, mixed document is different from English document and some special features should be considered. This paper gives a new way to solve the problem. At first, an appropriate character area is chosen to detect italic. Next, a two-step strategy is adopted. Italic determination is done first and then if the character pattern is identified as italic, the estimation of slant angle will be done. Finally the italic character pattern is corrected by shear transform. A method of adopting two-step weighted projection profile histogram for italic determination is introduced. And a fast algorithm to estimate slant angle is also introduced. Three large sample collections, including character and character-pair and document respectively, are provided to evaluate our method and encouraging results are achieved.</abstract><relatedItem type="host"><titleInfo><title>Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead</title><subTitle>21st International Conference, ICCPOL 2006, Singapore, December 17-19, 2006. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Yuji</namePart><namePart type="family">Matsumoto</namePart><affiliation>Graduate School of Information Science, Nara Institute of Science and Technology, 630-0192, Takayama, Ikoma, Nara, Japan</affiliation><affiliation>E-mail: matsu@is.naist.jp</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Richard</namePart><namePart type="given">W.</namePart><namePart type="family">Sproat</namePart><affiliation>Dept of ECE, University of Illinois at Urbana Champaign, IL 61801, Urbana, USA</affiliation><affiliation>E-mail: rws@xoba.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kam-Fai</namePart><namePart type="family">Wong</namePart><affiliation>Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong</affiliation><affiliation>E-mail: kfwong@se.cuhk.edu.hk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Min</namePart><namePart type="family">Zhang</namePart><affiliation>State Key Lab of Intelligent Tech. & Sys., Tsinghua University</affiliation><affiliation>E-mail: miz14@pitt.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2006</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I16048">Mathematical Logic and Formal Languages</topic><topic authority="SpringerSubjectCodes" authorityURI="I21041">Language Translation and Linguistics</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic><topic authority="SpringerSubjectCodes" authorityURI="I21033">Document Preparation and Text Processing</topic></subject><identifier type="DOI">10.1007/11940098</identifier><identifier type="ISBN">978-3-540-49667-0</identifier><identifier type="eISBN">978-3-540-49668-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">142982</identifier><identifier type="BookID">978-3-540-49668-7</identifier><identifier type="BookChapterCount">56</identifier><identifier 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type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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type="given">Jaime</namePart><namePart type="given">G.</namePart><namePart type="family">Carbonell</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><affiliation>University of Saarland, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yuji</namePart><namePart type="family">Matsumoto</namePart><affiliation>Graduate School of Information Science, Nara Institute of Science and Technology, 630-0192, Takayama, Ikoma, Nara, Japan</affiliation><affiliation>E-mail: matsu@is.naist.jp</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Richard</namePart><namePart type="given">W.</namePart><namePart type="family">Sproat</namePart><affiliation>Dept of ECE, University of Illinois at Urbana Champaign, IL 61801, Urbana, USA</affiliation><affiliation>E-mail: rws@xoba.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kam-Fai</namePart><namePart type="family">Wong</namePart><affiliation>Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong</affiliation><affiliation>E-mail: kfwong@se.cuhk.edu.hk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Min</namePart><namePart type="family">Zhang</namePart><affiliation>State Key Lab of Intelligent Tech. & Sys., Tsinghua University</affiliation><affiliation>E-mail: miz14@pitt.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Sub-Series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier 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