{"id":"https://openalex.org/W3101727459","doi":"https://doi.org/10.18653/v1/2020.emnlp-demos.19","title":"SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation","display_name":"SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3101727459","doi":"https://doi.org/10.18653/v1/2020.emnlp-demos.19","mag":"3101727459"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2020.emnlp-demos.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.emnlp-demos.19","pdf_url":"https://www.aclweb.org/anthology/2020.emnlp-demos.19.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 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/2020.emnlp-demos.19.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054878003","display_name":"Xutai Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xutai Ma","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001927789","display_name":"Mohammad Javad Dousti","orcid":"https://orcid.org/0000-0002-8537-2916"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Javad Dousti","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087491225","display_name":"Changhan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changhan Wang","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112542984","display_name":"Jiatao Gu","orcid":"https://orcid.org/0000-0003-3578-2711"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiatao Gu","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058915697","display_name":"Juan Pino","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Pino","raw_affiliation_strings":["Johns Hopkins University"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054878003"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":7.9536,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.97972129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"150"},"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/T12031","display_name":"Speech and dialogue systems","score":0.9957000017166138,"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":0.9056293964385986},{"id":"https://openalex.org/keywords/speech-translation","display_name":"Speech translation","score":0.8272744417190552},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6777440309524536},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6269667744636536},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5676342248916626},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4892837703227997},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48680731654167175},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4599074721336365},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.435939759016037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41505953669548035},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.411063551902771},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38806939125061035},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.180990070104599},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09801936149597168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9056293964385986},{"id":"https://openalex.org/C2780366754","wikidata":"https://www.wikidata.org/wiki/Q7494857","display_name":"Speech translation","level":3,"score":0.8272744417190552},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6777440309524536},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6269667744636536},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5676342248916626},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4892837703227997},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48680731654167175},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4599074721336365},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.435939759016037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41505953669548035},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.411063551902771},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38806939125061035},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.180990070104599},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09801936149597168},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2020.emnlp-demos.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.emnlp-demos.19","pdf_url":"https://www.aclweb.org/anthology/2020.emnlp-demos.19.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 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2020.emnlp-demos.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2020.emnlp-demos.19","pdf_url":"https://www.aclweb.org/anthology/2020.emnlp-demos.19.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 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3101727459.pdf","grobid_xml":"https://content.openalex.org/works/W3101727459.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2123301721","https://openalex.org/W2149327368","https://openalex.org/W2251955814","https://openalex.org/W2296335794","https://openalex.org/W2419292002","https://openalex.org/W2529548870","https://openalex.org/W2890698823","https://openalex.org/W2946888380","https://openalex.org/W2951456627","https://openalex.org/W2951642234","https://openalex.org/W2952992734","https://openalex.org/W2963532001","https://openalex.org/W2975711469","https://openalex.org/W2995428172","https://openalex.org/W3034586846","https://openalex.org/W3037465386","https://openalex.org/W3186200218","https://openalex.org/W4288345582"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W3203142394","https://openalex.org/W4301342010","https://openalex.org/W158465921","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W3151736118","https://openalex.org/W2017509870","https://openalex.org/W4223977554"],"abstract_inverted_index":{"Simultaneous":[0],"translation":[1,27,46,94,136],"on":[2,8,55,173],"both":[3,79],"text":[4,81,134],"and":[5,11,74,82,102,107,121],"speech":[6,83,139,175],"focuses":[7],"a":[9,64,92,114,146,159],"real-time":[10],"low-latency":[12],"scenario":[13],"where":[14,96],"the":[15,21,36,97,108,138,154,168],"model":[16],"starts":[17],"translating":[18],"before":[19],"reading":[20],"complete":[22],"source":[23,100],"input.":[24],"Evaluating":[25],"simultaneous":[26,60,80,93,119,135,155,174],"models":[28,34],"is":[29,38,88,143],"more":[30],"complex":[31],"than":[32],"offline":[33],"because":[35],"latency":[37,126,131],"another":[39],"factor":[40],"to":[41,45,59,90,137,149],"consider":[42],"in":[43],"addition":[44],"quality.":[47],"The":[48],"research":[49],"community,":[50],"despite":[51],"its":[52],"growing":[53],"focus":[54],"novel":[56],"modeling":[57],"approaches":[58],"translation,":[61],"currently":[62],"lacks":[63],"universal":[65],"evaluation":[66,76,106],"procedure.":[67],"Therefore,":[68],"we":[69],"present":[70],"SIMULEVAL,":[71],"an":[72],"easy-to-use":[73],"general":[75],"toolkit":[77],"for":[78,105,167],"translation.":[84,176],"A":[85],"server-client":[86],"scheme":[87],"introduced":[89],"create":[91],"scenario,":[95],"server":[98],"sends":[99],"input":[101],"receives":[103],"predictions":[104],"client":[109],"executes":[110],"customized":[111],"policies.":[112],"Given":[113],"policy,":[115],"it":[116],"automatically":[117],"performs":[118],"decoding":[120,156],"collectively":[122],"reports":[123],"several":[124],"popular":[125],"metrics.":[127],"We":[128],"also":[129],"adapt":[130],"metrics":[132],"from":[133],"task.":[140],"Additionally,":[141],"SIMULEVAL":[142,161],"equipped":[144],"with":[145],"visualization":[147],"interface":[148],"provide":[150],"better":[151],"understanding":[152],"of":[153,158],"process":[157],"system.":[160],"has":[162],"already":[163],"been":[164],"extensively":[165],"used":[166],"IWSLT":[169],"2020":[170],"shared":[171],"task":[172]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
