{"id":"https://openalex.org/W2250911482","doi":"https://doi.org/10.18653/v1/w15-4108","title":"A Methodology for Bilingual Lexicon Extraction from Comparable Corpora","display_name":"A Methodology for Bilingual Lexicon Extraction from Comparable Corpora","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250911482","doi":"https://doi.org/10.18653/v1/w15-4108","mag":"2250911482"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w15-4108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-4108","pdf_url":"https://www.aclweb.org/anthology/W15-4108.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W15-4108.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049674705","display_name":"Reinhard Rapp","orcid":"https://orcid.org/0000-0002-7245-551X"},"institutions":[{"id":"https://openalex.org/I164387090","display_name":"University of Applied Sciences Mainz","ror":"https://ror.org/02re32a17","country_code":"DE","type":"education","lineage":["https://openalex.org/I164387090"]},{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Reinhard Rapp","raw_affiliation_strings":["University of Mainz, FTSK An der Hochschule 2 D-76726 Germersheim"],"affiliations":[{"raw_affiliation_string":"University of Mainz, FTSK An der Hochschule 2 D-76726 Germersheim","institution_ids":["https://openalex.org/I164387090","https://openalex.org/I197323543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049674705"],"corresponding_institution_ids":["https://openalex.org/I164387090","https://openalex.org/I197323543"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0821745,"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":"46","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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":0.9958999752998352,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9889000058174133,"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":0.8740441799163818},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.7733158469200134},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7672132253646851},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.666130781173706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629353761672974},{"id":"https://openalex.org/keywords/parallel-corpora","display_name":"Parallel corpora","score":0.5901643633842468},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5360494256019592},{"id":"https://openalex.org/keywords/bilingual-dictionary","display_name":"Bilingual dictionary","score":0.5301457643508911},{"id":"https://openalex.org/keywords/text-corpus","display_name":"Text corpus","score":0.41932979226112366},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.28734660148620605},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23003244400024414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8740441799163818},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.7733158469200134},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7672132253646851},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.666130781173706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629353761672974},{"id":"https://openalex.org/C2985367798","wikidata":"https://www.wikidata.org/wiki/Q1346592","display_name":"Parallel corpora","level":3,"score":0.5901643633842468},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5360494256019592},{"id":"https://openalex.org/C2779235283","wikidata":"https://www.wikidata.org/wiki/Q2640207","display_name":"Bilingual dictionary","level":2,"score":0.5301457643508911},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.41932979226112366},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.28734660148620605},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23003244400024414},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w15-4108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-4108","pdf_url":"https://www.aclweb.org/anthology/W15-4108.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w15-4108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-4108","pdf_url":"https://www.aclweb.org/anthology/W15-4108.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250911482.pdf","grobid_xml":"https://content.openalex.org/works/W2250911482.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W77273554","https://openalex.org/W101497934","https://openalex.org/W108460122","https://openalex.org/W204594949","https://openalex.org/W1492234127","https://openalex.org/W1526974435","https://openalex.org/W1541966623","https://openalex.org/W1626233182","https://openalex.org/W1889220380","https://openalex.org/W1940278502","https://openalex.org/W1964209958","https://openalex.org/W1988325893","https://openalex.org/W2004504248","https://openalex.org/W2006969979","https://openalex.org/W2050712820","https://openalex.org/W2055884980","https://openalex.org/W2072976288","https://openalex.org/W2097333193","https://openalex.org/W2102749417","https://openalex.org/W2118457445","https://openalex.org/W2133837072","https://openalex.org/W2139812240","https://openalex.org/W2140406733","https://openalex.org/W2146465982","https://openalex.org/W2167265720","https://openalex.org/W2175789892","https://openalex.org/W2219047839","https://openalex.org/W2250886775","https://openalex.org/W2251110720","https://openalex.org/W2252224218","https://openalex.org/W2316353168","https://openalex.org/W2436001372","https://openalex.org/W2882319491","https://openalex.org/W3029253198","https://openalex.org/W3197748241","https://openalex.org/W4300191749","https://openalex.org/W6640448907","https://openalex.org/W6663101273","https://openalex.org/W6664161806","https://openalex.org/W6674571003","https://openalex.org/W6680684279","https://openalex.org/W6691535152","https://openalex.org/W6753056052","https://openalex.org/W7062052811"],"related_works":["https://openalex.org/W2109941374","https://openalex.org/W2134032133","https://openalex.org/W2126965175","https://openalex.org/W2352873965","https://openalex.org/W3143538182","https://openalex.org/W2913434276","https://openalex.org/W637364","https://openalex.org/W2002827644","https://openalex.org/W107828926","https://openalex.org/W2339359716"],"abstract_inverted_index":{"Dictionary":[0],"extraction":[1,31],"using":[2,66],"parallel":[3,13],"corpora":[4,14],"is":[5,20,38],"well":[6],"established.":[7],"However,":[8],"for":[9,29,62],"many":[10],"language":[11,134],"pairs":[12],"are":[15],"a":[16,67,73,79,141],"scarce":[17],"resource":[18],"which":[19,46,70,82],"why":[21],"in":[22,55],"the":[23,36,41,60,102],"current":[24,44],"work":[25],"we":[26],"discuss":[27],"methods":[28],"dictionary":[30],"from":[32,140],"comparable":[33,87],"corpora.":[34],"Hereby":[35],"aim":[37],"to":[39],"push":[40],"boundaries":[42],"of":[43,104],"approaches,":[45],"typically":[47],"utilize":[48],"correlations":[49],"between":[50,86,96],"co-occurrence":[51],"patterns":[52],"across":[53,89],"languages,":[54,90,119],"several":[56,117],"ways:":[57],"1)":[58],"Eliminating":[59],"need":[61],"initial":[63],"lexicons":[64],"by":[65,108,114,129],"bootstrapping":[68],"approach":[69,81],"only":[71],"requires":[72],"few":[74],"seed":[75],"translations.":[76],"2)":[77],"Implementing":[78],"new":[80],"first":[83],"establishes":[84],"alignments":[85,95],"documents":[88],"and":[91,98],"then":[92],"computes":[93],"cross-lingual":[94],"words":[97],"multiword-units.":[99],"3)":[100],"Improving":[101],"quality":[103],"computed":[105],"word":[106],"translations":[107,135],"applying":[109],"an":[110,121],"interlingua":[111],"approach,":[112],"which,":[113],"relying":[115],"on":[116],"pivot":[118],"allows":[120],"effective":[122],"multi-dimensional":[123],"cross-check.":[124],"4)":[125],"We":[126],"investigate":[127],"that,":[128],"looking":[130],"at":[131],"foreign":[132],"citations,":[133],"can":[136],"even":[137],"be":[138],"derived":[139],"single":[142],"monolingual":[143],"text":[144],"corpus.":[145]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}