{"id":"https://openalex.org/W2125102007","doi":"https://doi.org/10.21437/eurospeech.2001-480","title":"Word unit based multilingual comparative analysis of text corpora","display_name":"Word unit based multilingual comparative analysis of text corpora","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W2125102007","doi":"https://doi.org/10.21437/eurospeech.2001-480","mag":"2125102007"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-480","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","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/A5069988513","display_name":"G\u00e9za N\u00e9meth","orcid":"https://orcid.org/0000-0002-2311-4858"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00e9za N\u00e9meth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031237235","display_name":"Csaba Zaink\u00f3","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Csaba Zaink\u00f3","raw_affiliation_strings":["Budapest Univ. of Technology & Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest Univ. of Technology & Economics","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5467,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79182327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2035","last_page":"2038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9541000127792358,"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/computer-science","display_name":"Computer science","score":0.8125530481338501},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7299794554710388},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.6892220973968506},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6499751210212708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6329136490821838},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5729867219924927},{"id":"https://openalex.org/keywords/text-corpus","display_name":"Text corpus","score":0.5321974158287048},{"id":"https://openalex.org/keywords/corpus-linguistics","display_name":"Corpus linguistics","score":0.4793751537799835},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.39802250266075134},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35342493653297424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125530481338501},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7299794554710388},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.6892220973968506},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6499751210212708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6329136490821838},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5729867219924927},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.5321974158287048},{"id":"https://openalex.org/C532629269","wikidata":"https://www.wikidata.org/wiki/Q865083","display_name":"Corpus linguistics","level":2,"score":0.4793751537799835},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.39802250266075134},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35342493653297424},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2001-480","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W86142200","https://openalex.org/W2188085216","https://openalex.org/W2913052931"],"related_works":["https://openalex.org/W2375537499","https://openalex.org/W2516977220","https://openalex.org/W3096124370","https://openalex.org/W2794113965","https://openalex.org/W1982878818","https://openalex.org/W2384280299","https://openalex.org/W2366526038","https://openalex.org/W2183648197","https://openalex.org/W99386505","https://openalex.org/W3087106119"],"abstract_inverted_index":{"Parallel":[0],"study":[1],"of":[2,16,26,32,90],"three":[3],"very":[4],"different":[5],"languages":[6,104],"-":[7,12],"Hungarian.":[8,121],"German":[9,118],"and":[10,29,60,71,75,117],"English":[11,116],"using":[13],"text":[14,133],"corpora":[15,91],"a":[17,21,77,98],"similar":[18],"size":[19,41],"gives":[20],"possibility":[22],"for":[23,51,102,115,120],"the":[24,43,88,93,106],"exploration":[25],"both":[27],"similarities":[28],"differences.":[30],"Corpora":[31],"publicly":[33],"available":[34],"Internet":[35],"sources":[36],"was":[37,42,85],"used.":[38],"The":[39,110,122],"corpus":[40,56],"same":[44],"(app.":[45],"20Mbytes,":[46],"2.5-3.5":[47],"million":[48],"word":[49,58,135],"forms)":[50],"all":[52,103],"languages.":[53],"Besides":[54],"traditional":[55],"coverage,":[57],"length":[59],"occurence":[61],"statistics,":[62],"some":[63],"new":[64],"features":[65],"about":[66],"prosodic":[67],"boundaries":[68],"(sentence":[69],"beginning":[70],"final":[72],"positions,":[73],"preceding":[74],"following":[76],"comma)":[78],"were":[79],"also":[80],"computed.":[81],"Among":[82],"others,":[83],"it":[84],"found,":[86],"that":[87],"coverage":[89,108],"by":[92],"most":[94],"frequent":[95],"words":[96],"follows":[97],"parallel":[99],"logarithmic":[100],"rule":[101],"in":[105,127,139],"40-85%":[107],"range.":[109],"functions":[111],"are":[112],"much":[113],"nearer":[114],"than":[119],"results":[123],"can":[124],"be":[125],"applied":[126],"such":[128],"diverse":[129],"domains":[130],"as":[131],"predictive":[132],"input,":[134],"hyphenation,":[136],"language":[137],"modeling":[138],"speech":[140,143],"recognition,":[141],"corpus-based":[142],"synthesis,":[144],"etc.":[145]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}