{"id":"https://openalex.org/W2174932614","doi":"https://doi.org/10.18653/v1/d15-1131","title":"Trans-gram, Fast Cross-lingual Word-embeddings","display_name":"Trans-gram, Fast Cross-lingual Word-embeddings","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2174932614","doi":"https://doi.org/10.18653/v1/d15-1131","mag":"2174932614"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d15-1131","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1131","pdf_url":"https://www.aclweb.org/anthology/D15-1131.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 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D15-1131.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006183779","display_name":"Jocelyn Coulmance","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jocelyn Coulmance","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091509497","display_name":"Jean-Marc Marty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Marc Marty","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023203387","display_name":"Guillaume Wenzek","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Guillaume Wenzek","raw_affiliation_strings":["Meta (Israel), Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Meta (Israel), Tel Aviv, Israel","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063231528","display_name":"Amine Benhalloum","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amine Benhalloum","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006183779"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6774,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91856749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1109","last_page":"1113"},"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":0.9998999834060669,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9980000257492065,"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":0.7819992303848267},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6735453009605408},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6505522727966309},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6471741199493408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862475633621216},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5657809972763062},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.5505724549293518},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5192192196846008},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4547828733921051},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4413762390613556},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.31646519899368286},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.30515170097351074},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1810467541217804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819992303848267},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6735453009605408},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6505522727966309},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6471741199493408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862475633621216},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5657809972763062},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.5505724549293518},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5192192196846008},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4547828733921051},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4413762390613556},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.31646519899368286},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.30515170097351074},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1810467541217804},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/d15-1131","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1131","pdf_url":"https://www.aclweb.org/anthology/D15-1131.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 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1601.02502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1601.02502","pdf_url":"https://arxiv.org/pdf/1601.02502","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2174932614","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1601.02502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1601.02502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1601.02502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/d15-1131","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1131","pdf_url":"https://www.aclweb.org/anthology/D15-1131.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 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2174932614.pdf","grobid_xml":"https://content.openalex.org/works/W2174932614.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W1523296404","https://openalex.org/W1528321674","https://openalex.org/W1562955078","https://openalex.org/W2125031621","https://openalex.org/W2126725946","https://openalex.org/W2150102617","https://openalex.org/W2251033195","https://openalex.org/W2950577311","https://openalex.org/W2950682695"],"related_works":["https://openalex.org/W2963915291","https://openalex.org/W2952037945","https://openalex.org/W2905749056","https://openalex.org/W2762484717","https://openalex.org/W2250539671","https://openalex.org/W3043656909","https://openalex.org/W2547230076","https://openalex.org/W2950649787","https://openalex.org/W2626405055","https://openalex.org/W2911677205","https://openalex.org/W2167265720","https://openalex.org/W3185712843","https://openalex.org/W2797631028","https://openalex.org/W2921696169","https://openalex.org/W2945533668","https://openalex.org/W2991515493","https://openalex.org/W2949318522","https://openalex.org/W3098214632","https://openalex.org/W2905037098","https://openalex.org/W2970172109"],"abstract_inverted_index":{"We":[0,30,48,77],"introduce":[1],"Trans-gram,":[2],"a":[3,15,24,45],"simple":[4],"and":[5,11,23,90],"computationally-efficient":[6],"method":[7,34],"to":[8,35],"simultaneously":[9],"learn":[10],"align":[12],"wordembeddings":[13,38],"for":[14,39,58],"variety":[16],"of":[17,27,81],"languages,":[18],"using":[19,42],"only":[20],"monolingual":[21],"data":[22],"smaller":[25],"set":[26],"sentence-aligned":[28],"data.":[29],"use":[31],"our":[32],"new":[33],"compute":[36],"aligned":[37,55,64],"twenty-one":[40],"languages":[41,57],"English":[43],"as":[44],"pivot":[46,75],"language.":[47,76],"show":[49],"that":[50],"some":[51],"linguistic":[52],"features":[53],"are":[54],"across":[56],"which":[59],"we":[60],"do":[61,70],"not":[62,71],"have":[63],"data,":[65],"even":[66],"though":[67],"those":[68],"properties":[69],"exist":[72],"in":[73],"the":[74,82],"also":[78],"achieve":[79],"state":[80],"art":[83],"results":[84],"on":[85],"standard":[86],"cross-lingual":[87],"text":[88],"classification":[89],"word":[91],"translation":[92],"tasks.":[93]},"counts_by_year":[{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
