{"id":"https://openalex.org/W4361200098","doi":"https://doi.org/10.23919/icact56868.2023.10079300","title":"TeacherSim: Cross-lingual Machine Translation Evaluation with Monolingual Embedding as Teacher","display_name":"TeacherSim: Cross-lingual Machine Translation Evaluation with Monolingual Embedding as Teacher","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4361200098","doi":"https://doi.org/10.23919/icact56868.2023.10079300"},"language":"en","primary_location":{"id":"doi:10.23919/icact56868.2023.10079300","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact56868.2023.10079300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","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/A5038736812","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0001-8861-7010"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Huawei Technologies CO., LTD,2012 Labs","2012 Labs, Huawei Technologies CO., LTD"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies CO., LTD,2012 Labs","institution_ids":["https://openalex.org/I4210146936"]},{"raw_affiliation_string":"2012 Labs, Huawei Technologies CO., LTD","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108856873","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0001-8604-0959"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Huawei Technologies CO., LTD,2012 Labs","2012 Labs, Huawei Technologies CO., LTD"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies CO., LTD,2012 Labs","institution_ids":["https://openalex.org/I4210146936"]},{"raw_affiliation_string":"2012 Labs, Huawei Technologies CO., LTD","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006709668","display_name":"Shimin Tao","orcid":"https://orcid.org/0000-0002-2795-6921"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shimin Tao","raw_affiliation_strings":["Huawei Technologies CO., LTD,2012 Labs","2012 Labs, Huawei Technologies CO., LTD"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies CO., LTD,2012 Labs","institution_ids":["https://openalex.org/I4210146936"]},{"raw_affiliation_string":"2012 Labs, Huawei Technologies CO., LTD","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090615289","display_name":"Miaomiao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miaomiao Ma","raw_affiliation_strings":["Huawei Technologies CO., LTD,2012 Labs","2012 Labs, Huawei Technologies CO., LTD"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies CO., LTD,2012 Labs","institution_ids":["https://openalex.org/I4210146936"]},{"raw_affiliation_string":"2012 Labs, Huawei Technologies CO., LTD","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013250925","display_name":"Ying Qin","orcid":"https://orcid.org/0000-0003-4606-7174"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Qin","raw_affiliation_strings":["Huawei Technologies CO., LTD,2012 Labs","2012 Labs, Huawei Technologies CO., LTD"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies CO., LTD,2012 Labs","institution_ids":["https://openalex.org/I4210146936"]},{"raw_affiliation_string":"2012 Labs, Huawei Technologies CO., LTD","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012613066","display_name":"Daimeng Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daimeng Wei","raw_affiliation_strings":["Huawei Technologies CO., LTD,2012 Labs","2012 Labs, Huawei Technologies CO., LTD"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies CO., LTD,2012 Labs","institution_ids":["https://openalex.org/I4210146936"]},{"raw_affiliation_string":"2012 Labs, Huawei Technologies CO., LTD","institution_ids":["https://openalex.org/I4210146936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038736812"],"corresponding_institution_ids":["https://openalex.org/I4210146936"],"apc_list":null,"apc_paid":null,"fwci":0.7087,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74667778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"287"},"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":0.9998000264167786,"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/T13629","display_name":"Text Readability and Simplification","score":0.9843999743461609,"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":0.7683326005935669},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6574720144271851},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6349003911018372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245733499526978},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6068795919418335},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5481317043304443},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5392334461212158},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5036527514457703},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49074041843414307},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4657144546508789},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.418556272983551}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683326005935669},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6574720144271851},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6349003911018372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245733499526978},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6068795919418335},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5481317043304443},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5392334461212158},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5036527514457703},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49074041843414307},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4657144546508789},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.418556272983551},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact56868.2023.10079300","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/icact56868.2023.10079300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8899999856948853,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1490960179","https://openalex.org/W2021618504","https://openalex.org/W2078861931","https://openalex.org/W2101105183","https://openalex.org/W2105482032","https://openalex.org/W2150824314","https://openalex.org/W2739351760","https://openalex.org/W2758950307","https://openalex.org/W2892181857","https://openalex.org/W2914560649","https://openalex.org/W2915756181","https://openalex.org/W2930957955","https://openalex.org/W2970641574","https://openalex.org/W2970785793","https://openalex.org/W2971036337","https://openalex.org/W2973088264","https://openalex.org/W3035390927","https://openalex.org/W3035459196","https://openalex.org/W3037344076","https://openalex.org/W3038033387","https://openalex.org/W3100806282","https://openalex.org/W3168264548","https://openalex.org/W3214289289","https://openalex.org/W4231667498","https://openalex.org/W4239019441","https://openalex.org/W4241499611","https://openalex.org/W4287889452","https://openalex.org/W6679434410","https://openalex.org/W6684379752","https://openalex.org/W6759056966","https://openalex.org/W6761205521","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2970530566","https://openalex.org/W2967478618","https://openalex.org/W2997152889","https://openalex.org/W4385572700","https://openalex.org/W4307309205","https://openalex.org/W4288261899","https://openalex.org/W2949968076","https://openalex.org/W2935811960","https://openalex.org/W2969407538","https://openalex.org/W2917049097"],"abstract_inverted_index":{"Cross-lingual":[0],"machine":[1],"translation":[2],"(MT)":[3],"evaluation":[4,94,126],"or":[5,18],"quality":[6,78],"estimation":[7],"is":[8,55,68,114],"usually":[9],"performed":[10],"either":[11],"from":[12],"cross-lingual":[13,31,64,89],"transfer":[14],"in":[15,81],"supervised":[16],"tasks":[17],"via":[19],"unsupervised":[20],"multi-lingual":[21],"textual":[22],"similarity.":[23],"XMoverScore":[24],"[1]":[25],"investigates":[26],"a":[27,58],"range":[28],"of":[29],"state-of-the-art":[30],"evaluations":[32],"by":[33],"feature":[34],"extraction":[35],"on":[36,106],"token-level":[37],"similarity":[38],"and":[39,45,52,79,92],"multilingual":[40],"pre-trained":[41],"models":[42,118],"mBERT":[43],"[2]":[44],"LASER":[46],"[3].":[47],"In":[48],"this":[49],"paper,":[50],"monolingual":[51,72,85],"sentence-level":[53],"embedding":[54,86],"used":[56],"as":[57],"teacher":[59,73,87],"encoder":[60,74],"(TeacherSim)":[61],"to":[62],"align":[63],"MT":[65,125],"sentences.":[66],"It":[67],"found":[69],"that":[70,128],"the":[71,102,107],"can":[75],"enhance":[76],"both":[77],"usability":[80],"that:":[82],"(a)":[83],"A":[84],"assures":[88],"semantic":[90],"alignment":[91],"enhances":[93],"performance.":[95],"(b)":[96],"The":[97],"last":[98],"layer":[99,112],"always":[100],"delivers":[101],"best":[103],"performance":[104],"based":[105],"Sentence":[108],"Transformer":[109],"architecture,":[110],"while":[111],"selection":[113],"sensitive":[115],"for":[116,134],"different":[117],"with":[119],"BERTScore":[120],"[4].":[121],"Experiments":[122],"like":[123],"segment-level":[124],"show":[127],"TeacherSim":[129],"surpasses":[130],"most":[131],"strong":[132],"baselines":[133],"all":[135],"language":[136],"pairs.<sup>1</sup>":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
