{"id":"https://openalex.org/W4221013671","doi":"https://doi.org/10.1145/3519386","title":"Deep Learning in Computational Linguistics for Chinese Language Translation","display_name":"Deep Learning in Computational Linguistics for Chinese Language Translation","publication_year":2022,"publication_date":"2022-03-15","ids":{"openalex":"https://openalex.org/W4221013671","doi":"https://doi.org/10.1145/3519386"},"language":"en","primary_location":{"id":"doi:10.1145/3519386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519386","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5034832697","display_name":"Hailin Feng","orcid":"https://orcid.org/0000-0003-2734-480X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailin Feng","raw_affiliation_strings":["Zhejiang A & F University"],"raw_orcid":"https://orcid.org/0000-0003-2734-480X","affiliations":[{"raw_affiliation_string":"Zhejiang A & F University","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039265818","display_name":"Shuxuan Xie","orcid":"https://orcid.org/0000-0002-4152-4666"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxuan Xie","raw_affiliation_strings":["Qingdao University"],"raw_orcid":"https://orcid.org/0000-0002-4152-4666","affiliations":[{"raw_affiliation_string":"Qingdao University","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323773","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-8751-9205"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Xi'an University of Technology"],"raw_orcid":"https://orcid.org/0000-0002-8751-9205","affiliations":[{"raw_affiliation_string":"Xi'an University of Technology","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023204809","display_name":"Haibin Lv","orcid":"https://orcid.org/0000-0003-1059-4765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haibin Lv","raw_affiliation_strings":["Ministry of Natural Resources North Sea Bureau"],"raw_orcid":"https://orcid.org/0000-0003-1059-4765","affiliations":[{"raw_affiliation_string":"Ministry of Natural Resources North Sea Bureau","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108044017","display_name":"Zhihan Lv","orcid":"https://orcid.org/0000-0003-2525-3074"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihan Lv","raw_affiliation_strings":["Qingdao University"],"raw_orcid":"https://orcid.org/0000-0003-2525-3074","affiliations":[{"raw_affiliation_string":"Qingdao University","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3873,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83848569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"3","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9778000116348267,"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":0.9778000116348267,"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":0.9758999943733215,"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":0.8101392984390259},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.7626166343688965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6911975741386414},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5982306003570557},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5450300574302673},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5163305997848511},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4965077042579651},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47110965847969055},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4705280065536499},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43121761083602905},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41451090574264526},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33987855911254883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3226981461048126},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08405283093452454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101392984390259},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7626166343688965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6911975741386414},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5982306003570557},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5450300574302673},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5163305997848511},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4965077042579651},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47110965847969055},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4705280065536499},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43121761083602905},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41451090574264526},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33987855911254883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3226981461048126},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08405283093452454},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.1145/3519386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519386","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2748439013","https://openalex.org/W2791168136","https://openalex.org/W2794882009","https://openalex.org/W2797220143","https://openalex.org/W2808129629","https://openalex.org/W2884001105","https://openalex.org/W2892809998","https://openalex.org/W2910152998","https://openalex.org/W2914836620","https://openalex.org/W2940009958","https://openalex.org/W2943901772","https://openalex.org/W2945635251","https://openalex.org/W2955710688","https://openalex.org/W2960293113","https://openalex.org/W2963676638","https://openalex.org/W2972848526","https://openalex.org/W2972978035","https://openalex.org/W2978757362","https://openalex.org/W2993873509","https://openalex.org/W2996589582","https://openalex.org/W3001768830","https://openalex.org/W3004088204","https://openalex.org/W3006860488","https://openalex.org/W3015001695","https://openalex.org/W3019166713","https://openalex.org/W3023321484","https://openalex.org/W3023484593","https://openalex.org/W3025533981","https://openalex.org/W3036892971","https://openalex.org/W3096005429","https://openalex.org/W3118753411","https://openalex.org/W3130784583","https://openalex.org/W3132069728","https://openalex.org/W3158091094","https://openalex.org/W3202456718","https://openalex.org/W3217560493","https://openalex.org/W4238006903","https://openalex.org/W4251745552"],"related_works":["https://openalex.org/W3011059803","https://openalex.org/W4293226380","https://openalex.org/W3151736118","https://openalex.org/W4362495644","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2962780935","https://openalex.org/W4387896177","https://openalex.org/W2728761353","https://openalex.org/W2883671469"],"abstract_inverted_index":{"Applying":[0],"artificial":[1],"intelligence":[2],"to":[3,33,65,90,111,244],"Chinese":[4,35,44,96,195,257,282],"language":[5,45,97,196,258,283],"translation":[6,46,98,252,259,264,284],"in":[7,43,55,80,285],"computational":[8,286],"linguistics":[9],"is":[10,31,63,88,109,241],"of":[11,50,70,95,153,159,173,179,187,194,209,235,281],"practical":[12],"significance":[13],"for":[14,120,276],"economic":[15],"boosts":[16],"and":[17,47,73,76,102,135,183],"cultural":[18],"exchanges.":[19],"In":[20,60,164],"the":[21,24,39,67,71,81,85,106,142,171,192,198,212,223,250,256,277],"present":[22],"work,":[23],"bi-directional":[25],"long":[26,125],"short-term":[27,126],"memory":[28],"(BiLSTM)":[29],"network":[30,78,132],"employed":[32],"extract":[34,66],"text":[36,52,56,72],"features":[37,69],"regarding":[38],"overlapping":[40],"semantic":[41],"roles":[42],"hard-to-converge":[48],"training":[49,177,213],"high-dimensional":[51],"word":[53],"vectors":[54],"classification":[57],"during":[58],"translation.":[59],"addition,":[61,165],"AlexNet":[62],"optimized":[64],"local":[68],"meanwhile":[74],"update":[75],"learn":[77],"parameters":[79],"deep":[82],"network.":[83],"Then,":[84],"attention":[86],"mechanism":[87],"introduced":[89],"build":[91],"a":[92,121,149,176,184,203,216,231,268],"forecasting":[93,107,143,239],"algorithm":[94,108,144,199,240,260],"based":[99],"on":[100,211,222],"BiLSTM":[101],"improved":[103],"AlexNet.":[104],"Last,":[105],"simulated":[110],"validate":[112],"its":[113,226],"performance.":[114,253],"Some":[115],"state-of-the-art":[116],"algorithms":[117],"are":[118],"selected":[119],"comparative":[122],"experiment,":[123],"including":[124],"memory,":[127],"regions":[128],"with":[129,215,230],"convolutional":[130],"neural":[131],"features,":[133],"AlexNet,":[134],"support":[136],"vector":[137],"machine.":[138],"Results":[139],"demonstrate":[140],"that":[141],"proposed":[145,200],"here":[146,201,262],"can":[147,248],"achieve":[148],"feature":[150],"identification":[151,271],"accuracy":[152],"90.55%,":[154],"at":[155],"least":[156],"an":[157,168],"improvement":[158],"4.24%":[160],"over":[161],"other":[162,245],"algorithms.":[163],"it":[166],"provides":[167,202],"area":[169],"under":[170],"curve":[172],"above":[174],"90%,":[175],"duration":[178,186],"about":[180,188],"54.21":[181],"seconds,":[182],"test":[185,224],"19.07":[189],"seconds.":[190],"Regarding":[191],"performance":[193,217,232,265],"translation,":[197],"bilingual":[204],"evaluation":[205],"understudy":[206],"(BLEU)":[207],"value":[208],"28.21":[210],"set,":[214,225],"gain":[218,233],"ratio":[219,234],"reaching":[220],"111.55%;":[221],"BLEU":[227],"reaches":[228],"40.45,":[229],"129.80%.":[236],"Hence,":[237],"this":[238],"notably":[242],"superior":[243],"algorithms,":[246],"which":[247],"enhance":[249],"machine":[251],"Through":[254],"experiments,":[255],"constructed":[261],"improves":[263],"while":[266],"ensuring":[267],"high":[269],"correct":[270],"rate,":[272],"providing":[273],"experimental":[274],"references":[275],"later":[278],"intelligent":[279],"development":[280],"linguistics.":[287]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}