{"id":"https://openalex.org/W1997599838","doi":"https://doi.org/10.1145/1460027.1460033","title":"Named entity transliteration for cross-language information retrieval using compressed word format mapping algorithm","display_name":"Named entity transliteration for cross-language information retrieval using compressed word format mapping algorithm","publication_year":2008,"publication_date":"2008-10-30","ids":{"openalex":"https://openalex.org/W1997599838","doi":"https://doi.org/10.1145/1460027.1460033","mag":"1997599838"},"language":"en","primary_location":{"id":"doi:10.1145/1460027.1460033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460027.1460033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM workshop on Improving non english web searching","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036224734","display_name":"Srinivasan Janarthanam","orcid":"https://orcid.org/0000-0002-8676-8998"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Srinivasan C. Janarthanam","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kngdm"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kngdm","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049325838","display_name":"Sethuramalingam Subramaniam","orcid":null},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]},{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sethuramalingam Subramaniam","raw_affiliation_strings":["International Institute of Information Technology (IIIT-H), Hyderabad, India","International Institute of Information Technology (IIIT-H), Hyderabad, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology (IIIT-H), Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"International Institute of Information Technology (IIIT-H), Hyderabad, India#TAB#","institution_ids":["https://openalex.org/I65181880","https://openalex.org/I188963388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012623245","display_name":"Udhyakumar Nallasamy","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Udhyakumar Nallasamy","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036224734"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":2.9324,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.91211611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transliteration","display_name":"Transliteration","score":0.9814085364341736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8724412322044373},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6960434317588806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6532893776893616},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5549392104148865},{"id":"https://openalex.org/keywords/grapheme","display_name":"Grapheme","score":0.5187580585479736},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4537333846092224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08361160755157471}],"concepts":[{"id":"https://openalex.org/C520968082","wikidata":"https://www.wikidata.org/wiki/Q134550","display_name":"Transliteration","level":2,"score":0.9814085364341736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8724412322044373},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6960434317588806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6532893776893616},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5549392104148865},{"id":"https://openalex.org/C2776779415","wikidata":"https://www.wikidata.org/wiki/Q2545446","display_name":"Grapheme","level":3,"score":0.5187580585479736},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4537333846092224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08361160755157471},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C30080830","wikidata":"https://www.wikidata.org/wiki/Q169917","display_name":"Graphene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1460027.1460033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1460027.1460033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM workshop on Improving non english web searching","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.515.682","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.515.682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web2py.iiit.ac.in/publications/default/download/inproceedings.pdf.108c19fc-3602-4d7d-b089-1e903960f881.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.889.1932","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.889.1932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iiit.net/techreports/2009_42.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320332009","display_name":"International Institute of Information Technology, Hyderabad","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1490704196","https://openalex.org/W1575218474","https://openalex.org/W1596452390","https://openalex.org/W1647671624","https://openalex.org/W2055543848","https://openalex.org/W2090362702","https://openalex.org/W2114066462","https://openalex.org/W2138151602","https://openalex.org/W2151858239","https://openalex.org/W2156985047","https://openalex.org/W2338181011","https://openalex.org/W2406430203"],"related_works":["https://openalex.org/W112480583","https://openalex.org/W10658944","https://openalex.org/W3144205609","https://openalex.org/W2355388305","https://openalex.org/W2005866499","https://openalex.org/W2398842011","https://openalex.org/W2251249345","https://openalex.org/W2166663858","https://openalex.org/W2162854261","https://openalex.org/W1547150220"],"abstract_inverted_index":{"Transliteration":[0],"of":[1,31,80,103,122,145],"named":[2,46],"entities":[3,47],"in":[4,11,59,74,143],"user":[5],"queries":[6],"is":[7,86],"a":[8,40,56,75,126],"vital":[9],"step":[10],"any":[12],"Cross-Language":[13],"Information":[14],"Retrieval":[15],"(CLIR)":[16],"system.":[17],"Several":[18],"methods":[19],"for":[20,43],"transliteration":[21,41,61,135],"have":[22],"been":[23],"proposed":[24],"till":[25],"date":[26],"based":[27,113],"on":[28,114],"the":[29,32,67,89,110,115,120],"nature":[30],"languages":[33],"considered.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"present":[39],"algorithm":[42,54],"mapping":[44,66],"English":[45],"to":[48,71,87,107],"their":[49,72],"proper":[50],"Tamil":[51],"equivalents.":[52],"Our":[53,137],"employs":[55],"grapheme-based":[57],"model,":[58],"which":[60],"equivalents":[62,73],"are":[63],"identified":[64],"by":[65],"source":[68,90],"language":[69,77,105],"names":[70],"target":[76,104],"database,":[78],"instead":[79],"generating":[81],"them.":[82],"The":[83],"basic":[84],"principle":[85],"compress":[88],"word":[91],"into":[92],"its":[93],"minimal":[94],"form":[95],"and":[96,147],"align":[97],"it":[98],"across":[99],"an":[100],"indexed":[101],"list":[102],"words":[106],"arrive":[108],"at":[109],"top":[111],"n-equivalents":[112],"edit":[116],"distance.":[117],"We":[118],"compare":[119],"performance":[121],"our":[123],"approach":[124,129,138],"with":[125],"statistical":[127],"generation":[128],"using":[130],"Microsoft":[131],"Research":[132],"India":[133],"(MSRI)":[134],"corpus.":[136],"has":[139],"proved":[140],"very":[141],"effective":[142],"terms":[144],"accuracy":[146],"time.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
