A Cross-Language Approach to Historic Document Retrieval
Identifieur interne : 000D24 ( Istex/Corpus ); précédent : 000D23; suivant : 000D25A Cross-Language Approach to Historic Document Retrieval
Auteurs : Marijn Koolen ; Frans Adriaans ; Jaap Kamps ; Maarten De RijkeSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: Our cultural heritage, as preserved in libraries, archives and museums, is made up of documents written many centuries ago. Large-scale digitization initiatives make these documents available to non-expert users through digital libraries and vertical search engines. For a user, querying a historic document collection may be a disappointing experience: queries involving modern words may not be very effective for retrieving documents that contain many historic terms. We propose a cross-language approach to historic document retrieval, and investigate (1) the automatic construction of translation resources for historic languages, and (2) the retrieval of historic documents using cross-language information retrieval techniques. Our experimental evidence is based on a collection of 17th century Dutch documents and a set of 25 known-item topics in modern Dutch. Our main findings are as follows: First, we are able to automatically construct rules for modernizing historic language based on comparing (a) phonetic sequence similarity, (b) the relative frequency of consonant and vowel sequences, and (c) the relative frequency of character n-gram sequences, of historic and modern corpora. Second, modern queries are not very effective for retrieving historic documents, but the historic language tools lead to a substantial improvement in retrieval effectiveness. The improvements are above and beyond the improvement due to using a modern stemming algorithm (whose effectiveness actually goes up when the historic language is modernized).
Url:
DOI: 10.1007/11735106_36
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ISTEX:F7E92D83042FD1B63D36DE5B5BF79368F41831EALe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Cross-Language Approach to Historic Document Retrieval</title><author><name sortKey="Koolen, Marijn" sort="Koolen, Marijn" uniqKey="Koolen M" first="Marijn" last="Koolen">Marijn Koolen</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation><affiliation><mods:affiliation>Archives and Information Studies, University of Amsterdam, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Adriaans, Frans" sort="Adriaans, Frans" uniqKey="Adriaans F" first="Frans" last="Adriaans">Frans Adriaans</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation><affiliation><mods:affiliation>Utrecht Institute of Linguistics OTS, Utrecht University, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Kamps, Jaap" sort="Kamps, Jaap" uniqKey="Kamps J" first="Jaap" last="Kamps">Jaap Kamps</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation><affiliation><mods:affiliation>Archives and Information Studies, University of Amsterdam, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="De Rijke, Maarten" sort="De Rijke, Maarten" uniqKey="De Rijke M" first="Maarten" last="De Rijke">Maarten De Rijke</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:F7E92D83042FD1B63D36DE5B5BF79368F41831EA</idno><date when="2006" year="2006">2006</date><idno type="doi">10.1007/11735106_36</idno><idno type="url">https://api.istex.fr/document/F7E92D83042FD1B63D36DE5B5BF79368F41831EA/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000D24</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Cross-Language Approach to Historic Document Retrieval</title><author><name sortKey="Koolen, Marijn" sort="Koolen, Marijn" uniqKey="Koolen M" first="Marijn" last="Koolen">Marijn Koolen</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation><affiliation><mods:affiliation>Archives and Information Studies, University of Amsterdam, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Adriaans, Frans" sort="Adriaans, Frans" uniqKey="Adriaans F" first="Frans" last="Adriaans">Frans Adriaans</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation><affiliation><mods:affiliation>Utrecht Institute of Linguistics OTS, Utrecht University, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="Kamps, Jaap" sort="Kamps, Jaap" uniqKey="Kamps J" first="Jaap" last="Kamps">Jaap Kamps</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation><affiliation><mods:affiliation>Archives and Information Studies, University of Amsterdam, The Netherlands</mods:affiliation></affiliation></author><author><name sortKey="De Rijke, Maarten" sort="De Rijke, Maarten" uniqKey="De Rijke M" first="Maarten" last="De Rijke">Maarten De Rijke</name><affiliation><mods:affiliation>ISLA, University of Amsterdam, The Netherlands</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">F7E92D83042FD1B63D36DE5B5BF79368F41831EA</idno><idno type="DOI">10.1007/11735106_36</idno><idno type="ChapterID">36</idno><idno type="ChapterID">Chap36</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Our cultural heritage, as preserved in libraries, archives and museums, is made up of documents written many centuries ago. Large-scale digitization initiatives make these documents available to non-expert users through digital libraries and vertical search engines. For a user, querying a historic document collection may be a disappointing experience: queries involving modern words may not be very effective for retrieving documents that contain many historic terms. We propose a cross-language approach to historic document retrieval, and investigate (1) the automatic construction of translation resources for historic languages, and (2) the retrieval of historic documents using cross-language information retrieval techniques. Our experimental evidence is based on a collection of 17th century Dutch documents and a set of 25 known-item topics in modern Dutch. Our main findings are as follows: First, we are able to automatically construct rules for modernizing historic language based on comparing (a) phonetic sequence similarity, (b) the relative frequency of consonant and vowel sequences, and (c) the relative frequency of character n-gram sequences, of historic and modern corpora. Second, modern queries are not very effective for retrieving historic documents, but the historic language tools lead to a substantial improvement in retrieval effectiveness. The improvements are above and beyond the improvement due to using a modern stemming algorithm (whose effectiveness actually goes up when the historic language is modernized).</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Marijn Koolen</name><affiliations><json:string>ISLA, University of Amsterdam, The Netherlands</json:string><json:string>Archives and Information Studies, University of Amsterdam, The Netherlands</json:string></affiliations></json:item><json:item><name>Frans Adriaans</name><affiliations><json:string>ISLA, University of Amsterdam, The Netherlands</json:string><json:string>Utrecht Institute of Linguistics OTS, Utrecht University, The Netherlands</json:string></affiliations></json:item><json:item><name>Jaap Kamps</name><affiliations><json:string>ISLA, University of Amsterdam, The Netherlands</json:string><json:string>Archives and Information Studies, University of Amsterdam, The Netherlands</json:string></affiliations></json:item><json:item><name>Maarten de Rijke</name><affiliations><json:string>ISLA, University of Amsterdam, The Netherlands</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Our cultural heritage, as preserved in libraries, archives and museums, is made up of documents written many centuries ago. Large-scale digitization initiatives make these documents available to non-expert users through digital libraries and vertical search engines. For a user, querying a historic document collection may be a disappointing experience: queries involving modern words may not be very effective for retrieving documents that contain many historic terms. We propose a cross-language approach to historic document retrieval, and investigate (1) the automatic construction of translation resources for historic languages, and (2) the retrieval of historic documents using cross-language information retrieval techniques. Our experimental evidence is based on a collection of 17th century Dutch documents and a set of 25 known-item topics in modern Dutch. 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type="first">Stefan</forename><surname>Rüger</surname></persName><email>s.rueger@open.ac.uk</email><affiliation>Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK</affiliation></editor><editor><persName><forename type="first">Anastasios</forename><surname>Tombros</surname></persName><email>tassos@dcs.qmul.ac.uk</email><affiliation>Queen Mary University of London, UK</affiliation></editor><editor><persName><forename type="first">Theodora</forename><surname>Tsikrika</surname></persName><email>theodora@dcs.qmul.ac.uk</email><affiliation>CWI, Amsterdam, The Netherlands</affiliation></editor><editor><persName><forename type="first">Alexei</forename><surname>Yavlinsky</surname></persName><email>alexei.yavlinsky@imperial.ac.uk</email><affiliation>Department of Computing, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date 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type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesId">558</idno></series><idno type="istex">F7E92D83042FD1B63D36DE5B5BF79368F41831EA</idno><idno type="DOI">10.1007/11735106_36</idno><idno type="ChapterID">36</idno><idno type="ChapterID">Chap36</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2006</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: Our cultural heritage, as preserved in libraries, archives and museums, is made up of documents written many centuries ago. Large-scale digitization initiatives make these documents available to non-expert users through digital libraries and vertical search engines. For a user, querying a historic document collection may be a disappointing experience: queries involving modern words may not be very effective for retrieving documents that contain many historic terms. We propose a cross-language approach to historic document retrieval, and investigate (1) the automatic construction of translation resources for historic languages, and (2) the retrieval of historic documents using cross-language information retrieval techniques. Our experimental evidence is based on a collection of 17th century Dutch documents and a set of 25 known-item topics in modern Dutch. Our main findings are as follows: First, we are able to automatically construct rules for modernizing historic language based on comparing (a) phonetic sequence similarity, (b) the relative frequency of consonant and vowel sequences, and (c) the relative frequency of character n-gram sequences, of historic and modern corpora. Second, modern queries are not very effective for retrieving historic documents, but the historic language tools lead to a substantial improvement in retrieval effectiveness. The improvements are above and beyond the improvement due to using a modern stemming algorithm (whose effectiveness actually goes up when the historic language is modernized).</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>I18032</label><label>I18024</label><label>I21017</label><label>I18040</label><label>I18059</label><label>I21033</label><item><term>Computer Science</term></item><item><term>Information Storage and Retrieval</term></item><item><term>Database Management</term></item><item><term>Artificial Intelligence (incl. 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University</OrgName><OrgAddress><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann 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><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-33348-7</BookID><BookTitle>Advances in Information Retrieval</BookTitle><BookSubTitle>28th European Conference on IR Research, ECIR 2006, London, UK, April 10-12, 2006. Proceedings</BookSubTitle><BookVolumeNumber>3936</BookVolumeNumber><BookSequenceNumber>3936</BookSequenceNumber><BookDOI>10.1007/11735106</BookDOI><BookTitleID>138131</BookTitleID><BookPrintISBN>978-3-540-33347-0</BookPrintISBN><BookElectronicISBN>978-3-540-33348-7</BookElectronicISBN><BookChapterCount>69</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18032" Priority="1" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18024" Priority="2" Type="Secondary">Database Management</BookSubject><BookSubject Code="I21017" Priority="3" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I18040" Priority="4" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18059" Priority="5" Type="Secondary">Multimedia Information Systems</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></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Mounia</GivenName><FamilyName>Lalmas</FamilyName></EditorName><Contact><Email>mounia@dcs.qmul.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Andy</GivenName><FamilyName>MacFarlane</FamilyName></EditorName><Contact><Email>andym@soi.city.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Stefan</GivenName><FamilyName>Rüger</FamilyName></EditorName><Contact><Email>s.rueger@open.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Anastasios</GivenName><FamilyName>Tombros</FamilyName></EditorName><Contact><Email>tassos@dcs.qmul.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Theodora</GivenName><FamilyName>Tsikrika</FamilyName></EditorName><Contact><Email>theodora@dcs.qmul.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff21"><EditorName DisplayOrder="Western"><GivenName>Alexei</GivenName><FamilyName>Yavlinsky</FamilyName></EditorName><Contact><Email>alexei.yavlinsky@imperial.ac.uk</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Queen Mary</OrgDivision><OrgName>University of London</OrgName><OrgAddress><City>London</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Department of Information Science</OrgDivision><OrgName>City University</OrgName><OrgAddress><Street>Northampton Square</Street><Postcode>EC1V OHB</Postcode><City>London</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Knowledge Media Institute</OrgDivision><OrgName>The Open University</OrgName><OrgAddress><Postcode>MK7 6AA</Postcode><City>Milton Keynes</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>Queen Mary University of London</OrgName><OrgAddress><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>CWI</OrgName><OrgAddress><City>Amsterdam</City><Country>The Netherlands</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgDivision>Department of Computing</OrgDivision><OrgName>Imperial College London</OrgName><OrgAddress><Street>South Kensington Campus</Street><Postcode>SW7 2AZ</Postcode><City>London</City><Country>UK</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part12"><PartInfo TocLevels="0"><PartID>12</PartID><PartSequenceNumber>12</PartSequenceNumber><PartTitle>Cross-Language Retrieval</PartTitle><PartChapterCount>3</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Information Retrieval</BookTitle></PartContext></PartInfo><Chapter ID="Chap36" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>36</ChapterID><ChapterDOI>10.1007/11735106_36</ChapterDOI><ChapterSequenceNumber>36</ChapterSequenceNumber><ChapterTitle Language="En">A Cross-Language Approach to Historic Document Retrieval</ChapterTitle><ChapterFirstPage>407</ChapterFirstPage><ChapterLastPage>419</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>12</PartID><BookID>978-3-540-33348-7</BookID><BookTitle>Advances in Information Retrieval</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff22 Aff23"><AuthorName DisplayOrder="Western"><GivenName>Marijn</GivenName><FamilyName>Koolen</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff22 Aff24"><AuthorName DisplayOrder="Western"><GivenName>Frans</GivenName><FamilyName>Adriaans</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff22 Aff23"><AuthorName DisplayOrder="Western"><GivenName>Jaap</GivenName><FamilyName>Kamps</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Maarten</GivenName><Particle>de</Particle><FamilyName>Rijke</FamilyName></AuthorName></Author><Affiliation ID="Aff22"><OrgDivision>ISLA</OrgDivision><OrgName>University of Amsterdam</OrgName><OrgAddress><Country>The Netherlands</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgDivision>Archives and Information Studies</OrgDivision><OrgName>University of Amsterdam</OrgName><OrgAddress><Country>The Netherlands</Country></OrgAddress></Affiliation><Affiliation ID="Aff24"><OrgDivision>Utrecht Institute of Linguistics OTS</OrgDivision><OrgName>Utrecht University</OrgName><OrgAddress><Country>The Netherlands</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Our cultural heritage, as preserved in libraries, archives and museums, is made up of documents written many centuries ago. Large-scale digitization initiatives make these documents available to non-expert users through digital libraries and vertical search engines. For a user, querying a historic document collection may be a disappointing experience: queries involving modern words may not be very effective for retrieving documents that contain many historic terms. We propose a cross-language approach to historic document retrieval, and investigate (1) the automatic construction of translation resources for historic languages, and (2) the retrieval of historic documents using cross-language information retrieval techniques. Our experimental evidence is based on a collection of 17th century Dutch documents and a set of 25 known-item topics in modern Dutch. Our main findings are as follows: First, we are able to automatically construct rules for modernizing historic language based on comparing (a) phonetic sequence similarity, (b) the relative frequency of consonant and vowel sequences, and (c) the relative frequency of character n-gram sequences, of historic and modern corpora. Second, modern queries are not very effective for retrieving historic documents, but the historic language tools lead to a substantial improvement in retrieval effectiveness. The improvements are above and beyond the improvement due to using a modern stemming algorithm (whose effectiveness actually goes up when the historic language is modernized).</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Cross-Language Approach to Historic Document Retrieval</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Cross-Language Approach to Historic Document Retrieval</title></titleInfo><name type="personal"><namePart type="given">Marijn</namePart><namePart type="family">Koolen</namePart><affiliation>ISLA, University of Amsterdam, The Netherlands</affiliation><affiliation>Archives and Information Studies, University of Amsterdam, The Netherlands</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Frans</namePart><namePart type="family">Adriaans</namePart><affiliation>ISLA, University of Amsterdam, The Netherlands</affiliation><affiliation>Utrecht Institute of Linguistics OTS, Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jaap</namePart><namePart type="family">Kamps</namePart><affiliation>ISLA, University of Amsterdam, The Netherlands</affiliation><affiliation>Archives and Information Studies, University of Amsterdam, The Netherlands</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Maarten</namePart><namePart type="family">de Rijke</namePart><affiliation>ISLA, University of Amsterdam, The Netherlands</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: Our cultural heritage, as preserved in libraries, archives and museums, is made up of documents written many centuries ago. Large-scale digitization initiatives make these documents available to non-expert users through digital libraries and vertical search engines. For a user, querying a historic document collection may be a disappointing experience: queries involving modern words may not be very effective for retrieving documents that contain many historic terms. We propose a cross-language approach to historic document retrieval, and investigate (1) the automatic construction of translation resources for historic languages, and (2) the retrieval of historic documents using cross-language information retrieval techniques. Our experimental evidence is based on a collection of 17th century Dutch documents and a set of 25 known-item topics in modern Dutch. Our main findings are as follows: First, we are able to automatically construct rules for modernizing historic language based on comparing (a) phonetic sequence similarity, (b) the relative frequency of consonant and vowel sequences, and (c) the relative frequency of character n-gram sequences, of historic and modern corpora. Second, modern queries are not very effective for retrieving historic documents, but the historic language tools lead to a substantial improvement in retrieval effectiveness. The improvements are above and beyond the improvement due to using a modern stemming algorithm (whose effectiveness actually goes up when the historic language is modernized).</abstract><relatedItem type="host"><titleInfo><title>Advances in Information Retrieval</title><subTitle>28th European Conference on IR Research, ECIR 2006, London, UK, April 10-12, 2006. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Mounia</namePart><namePart type="family">Lalmas</namePart><affiliation>Queen Mary, University of London, London, UK</affiliation><affiliation>E-mail: mounia@dcs.qmul.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Andy</namePart><namePart type="family">MacFarlane</namePart><affiliation>Department of Information Science, City University, Northampton Square, EC1V OHB, London, UK</affiliation><affiliation>E-mail: andym@soi.city.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Stefan</namePart><namePart type="family">Rüger</namePart><affiliation>Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK</affiliation><affiliation>E-mail: s.rueger@open.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Anastasios</namePart><namePart type="family">Tombros</namePart><affiliation>Queen Mary University of London, UK</affiliation><affiliation>E-mail: tassos@dcs.qmul.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Theodora</namePart><namePart type="family">Tsikrika</namePart><affiliation>CWI, Amsterdam, The Netherlands</affiliation><affiliation>E-mail: theodora@dcs.qmul.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Alexei</namePart><namePart type="family">Yavlinsky</namePart><affiliation>Department of Computing, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK</affiliation><affiliation>E-mail: alexei.yavlinsky@imperial.ac.uk</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="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18059">Multimedia Information Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I21033">Document Preparation and Text Processing</topic></subject><identifier type="DOI">10.1007/11735106</identifier><identifier type="ISBN">978-3-540-33347-0</identifier><identifier type="eISBN">978-3-540-33348-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">138131</identifier><identifier type="BookID">978-3-540-33348-7</identifier><identifier type="BookChapterCount">69</identifier><identifier type="BookVolumeNumber">3936</identifier><identifier type="BookSequenceNumber">3936</identifier><identifier type="PartChapterCount">3</identifier><part><date>2006</date><detail type="part"><title>Cross-Language 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type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm 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 type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dough</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate 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