{"id":"https://openalex.org/W7126395291","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.127","title":"Sequence Shortening for Context-Aware Machine Translation","display_name":"Sequence Shortening for Context-Aware Machine Translation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7126395291","doi":"https://doi.org/10.18653/v1/2024.findings-eacl.127"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2024.findings-eacl.127","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.127","pdf_url":"https://aclanthology.org/2024.findings-eacl.127.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.findings-eacl.127.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pawe\u0142 Maka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pawe\u0142 Maka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yusuf Semerci","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuf Semerci","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jan Scholtes","orcid":null},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jan Scholtes","raw_affiliation_strings":["Department of Advanced Computing Sciences Maastricht University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Computing Sciences Maastricht University","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gerasimos Spanakis","orcid":null},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerasimos Spanakis","raw_affiliation_strings":["Department of Advanced Computing Sciences Maastricht University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Advanced Computing Sciences Maastricht University","institution_ids":["https://openalex.org/I34352273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57043767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1874","last_page":"1894"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8634999990463257,"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":0.8634999990463257,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.015699999406933784,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.011900000274181366,"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/sequence","display_name":"Sequence (biology)","score":0.609000027179718},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.43149998784065247},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.3082999885082245},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.25859999656677246}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.609000027179718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5389000177383423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4341999888420105},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.43149998784065247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3758000135421753},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25040000677108765},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.22910000383853912}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.findings-eacl.127","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.127","pdf_url":"https://aclanthology.org/2024.findings-eacl.127.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.findings-eacl.127","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.findings-eacl.127","pdf_url":"https://aclanthology.org/2024.findings-eacl.127.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":"Findings of the Association for Computational Linguistics: EACL 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G754553967","display_name":"Voice driven interaction in XR spaces","funder_award_id":"101070521","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126395291.pdf","grobid_xml":"https://content.openalex.org/works/W7126395291.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Context-aware":[0],"Machine":[1],"Translation":[2],"aims":[3],"to":[4,72,99,122,129,152],"improve":[5],"translations":[6],"of":[7,39,46,96,167],"sentences":[8,12],"by":[9],"incorporating":[10],"surrounding":[11],"as":[13,54,87,132],"context.Towards":[14],"this":[15,31],"task,":[16],"two":[17,110,138],"main":[18],"architectures":[19],"have":[20,71],"been":[21],"applied,":[22],"namely":[23],"single-encoder":[24],"(based":[25],"on":[26,64,148],"concatenation)":[27],"and":[28,52,81,84,108,115,143,146,163],"multi-encoder":[29,40,90],"models.In":[30],"study,":[32],"we":[33,92],"show":[34,135],"that":[35,136],"a":[36],"special":[37],"case":[38],"architecture,":[41],"where":[42,118],"the":[43,47,55,58,65,69,74,78,88,94,100,119,127,137,149,153,165],"latent":[44],"representation":[45],"source":[48],"sentence":[49],"is":[50],"cached":[51,101,131],"reused":[53],"context":[56,172],"in":[57],"next":[59],"step,":[60],"achieves":[61],"higher":[62,161],"accuracy":[63],"contrastive":[66,150],"datasets":[67,151],"(where":[68],"models":[70],"rank":[73],"correct":[75],"translation":[76],"among":[77],"provided":[79],"sentences)":[80],"comparable":[82],"BLEU":[83,142],"COMET":[85,144],"scores":[86,145],"single-and":[89],"approaches.Furthermore,":[91],"investigate":[93],"application":[95],"Sequence":[97],"Shortening":[98],"representations.We":[102],"test":[103],"three":[104],"pooling-based":[105],"shortening":[106],"techniques":[107],"introduce":[109],"novel":[111],"methods":[112,139,156],"-Latent":[113],"Grouping":[114],"Latent":[116],"Selecting,":[117],"network":[120],"learns":[121],"group":[123],"tokens":[124,128],"or":[125],"selects":[126],"be":[130],"context.Our":[133],"experiments":[134],"achieve":[140],"competitive":[141],"accuracies":[147],"other":[154],"tested":[155],"while":[157],"potentially":[158],"allowing":[159],"for":[160],"interpretability":[162],"reducing":[164],"growth":[166],"memory":[168],"requirements":[169],"with":[170],"increased":[171],"size.":[173]},"counts_by_year":[],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}