{"id":"https://openalex.org/W4392904614","doi":"https://doi.org/10.1109/icassp48485.2024.10447486","title":"Language Model is a Branch Predictor for Simultaneous Machine Translation","display_name":"Language Model is a Branch Predictor for Simultaneous Machine Translation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904614","doi":"https://doi.org/10.1109/icassp48485.2024.10447486"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447486","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5077059859","display_name":"Aoxiong Yin","orcid":"https://orcid.org/0000-0002-1374-9016"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aoxiong Yin","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112961844","display_name":"Tianyun Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyun Zhong","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673440","display_name":"Haoyuan Li","orcid":"https://orcid.org/0009-0007-4678-9923"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyuan Li","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063062444","display_name":"Siliang Tang","orcid":"https://orcid.org/0000-0002-7356-9711"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siliang Tang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079260216","display_name":"Zhou Zhao","orcid":"https://orcid.org/0000-0001-6121-0384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077059859"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02618591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9976","last_page":"9980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.998199999332428,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8583933711051941},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.8123551607131958},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8061208724975586},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.7197043895721436},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6126693487167358},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5903447866439819},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5354760885238647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5264071822166443},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5160319805145264},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5070681571960449},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4504120349884033},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40153563022613525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33693718910217285},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17550939321517944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8583933711051941},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8123551607131958},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8061208724975586},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.7197043895721436},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6126693487167358},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5903447866439819},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5354760885238647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5264071822166443},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5160319805145264},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5070681571960449},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4504120349884033},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40153563022613525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33693718910217285},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17550939321517944},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447486","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1781607827","display_name":null,"funder_award_id":"62272411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2122563027","https://openalex.org/W2141888257","https://openalex.org/W2251994258","https://openalex.org/W2419292002","https://openalex.org/W2529548870","https://openalex.org/W2951456627","https://openalex.org/W2952992734","https://openalex.org/W2953830716","https://openalex.org/W3091991378","https://openalex.org/W3105626768","https://openalex.org/W3205234797","https://openalex.org/W3206578098","https://openalex.org/W4285172030","https://openalex.org/W4285242045","https://openalex.org/W4312878209","https://openalex.org/W4385571016","https://openalex.org/W4385572700","https://openalex.org/W4386076575","https://openalex.org/W4390873467","https://openalex.org/W6717306297","https://openalex.org/W6757517122","https://openalex.org/W6768570733","https://openalex.org/W6771004771"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W2378903222"],"abstract_inverted_index":{"The":[0],"primary":[1],"objective":[2],"of":[3,16,107],"simultaneous":[4],"machine":[5],"translation":[6,38,142],"(SiMT)":[7],"is":[8,152],"to":[9,36,50,66,89],"minimize":[10],"latency":[11,145],"while":[12],"preserving":[13],"the":[14,17,62,68,73,79,85,91,95,105,108,111,147],"quality":[15,143],"final":[18],"translation.":[19],"Drawing":[20],"inspiration":[21],"from":[22,78],"CPU":[23],"branch":[24,30,48,53,112],"prediction":[25,31],"techniques,":[26],"we":[27,41,60,83,103],"propose":[28],"incorporating":[29],"techniques":[32],"in":[33,70],"SiMT":[34,131],"tasks":[35],"reduce":[37,100],"latency.":[39],"Specifically,":[40],"utilize":[42,61,115],"a":[43,47,116],"language":[44,118],"model":[45,119],"as":[46],"predictor":[49],"predict":[51],"potential":[52],"directions,":[54],"namely,":[55],"future":[56],"source":[57,64,75,81,87],"words.":[58],"Subsequently,":[59],"predicted":[63,80,96],"words":[65],"decode":[67,90],"output":[69,92],"advance.":[71],"When":[72],"actual":[74],"word":[76,88],"deviates":[77],"word,":[82],"use":[84],"real":[86],"again,":[93],"replacing":[94],"output.":[97],"To":[98],"further":[99],"computational":[101],"costs,":[102],"share":[104],"parameters":[106],"encoder":[109],"and":[110,114,144],"predictor,":[113],"pre-trained":[117],"for":[120],"initialization.":[121],"Our":[122,150],"proposed":[123],"method":[124],"can":[125,140],"be":[126],"seamlessly":[127],"integrated":[128],"with":[129],"any":[130],"model.":[132],"Extensive":[133],"experimental":[134],"results":[135],"demonstrate":[136],"that":[137],"our":[138],"approach":[139],"improve":[141],"at":[146,154],"same":[148],"time.":[149],"code":[151],"available":[153],"https://github.com/YinAoXiong/simt_branch_predictor.":[155]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
