{"id":"https://openalex.org/W4399144518","doi":"https://doi.org/10.1145/3654823.3654845","title":"SLP-LMNMT: Source Language Prediction in Bilingual and Many-to-One Neural Machine Translation Tasks","display_name":"SLP-LMNMT: Source Language Prediction in Bilingual and Many-to-One Neural Machine Translation Tasks","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4399144518","doi":"https://doi.org/10.1145/3654823.3654845"},"language":"en","primary_location":{"id":"doi:10.1145/3654823.3654845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","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/A5062536713","display_name":"Dongxing Li","orcid":"https://orcid.org/0000-0001-9653-0337"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongxing Li","raw_affiliation_strings":["Faculty of Geographical Science, Beijing Normal University, China"],"raw_orcid":"https://orcid.org/0000-0001-9653-0337","affiliations":[{"raw_affiliation_string":"Faculty of Geographical Science, Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101951484","display_name":"Dongdong Guo","orcid":"https://orcid.org/0000-0002-2352-2675"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Guo","raw_affiliation_strings":["Beijing Information Science and Technology University, China"],"raw_orcid":"https://orcid.org/0000-0002-2352-2675","affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062536713"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05770494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9779999852180481,"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/machine-translation","display_name":"Machine translation","score":0.8684189319610596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8566663265228271},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6414804458618164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6307946443557739},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6137722730636597},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5689762830734253},{"id":"https://openalex.org/keywords/source-text","display_name":"Source text","score":0.5214892625808716},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49773815274238586},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4802311062812805},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.446618914604187},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.43720579147338867},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.3643175959587097},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33579549193382263},{"id":"https://openalex.org/keywords/comprehension-approach","display_name":"Comprehension approach","score":0.07791349291801453},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0600244402885437}],"concepts":[{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.8684189319610596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8566663265228271},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6414804458618164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6307946443557739},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6137722730636597},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5689762830734253},{"id":"https://openalex.org/C120012220","wikidata":"https://www.wikidata.org/wiki/Q1754533","display_name":"Source text","level":2,"score":0.5214892625808716},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49773815274238586},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4802311062812805},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.446618914604187},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.43720579147338867},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.3643175959587097},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33579549193382263},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.07791349291801453},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0600244402885437},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654823.3654845","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654845","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2599674900","https://openalex.org/W2882319491","https://openalex.org/W2889968917","https://openalex.org/W2912083425","https://openalex.org/W2913954081","https://openalex.org/W2923014074","https://openalex.org/W2979401726","https://openalex.org/W3007759824","https://openalex.org/W3034999214","https://openalex.org/W4205807230","https://openalex.org/W4239019441","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W4255155614","https://openalex.org/W761725120","https://openalex.org/W2009170886","https://openalex.org/W2071315630","https://openalex.org/W2394860946","https://openalex.org/W143910215","https://openalex.org/W3203715570","https://openalex.org/W1857365372","https://openalex.org/W4362496863","https://openalex.org/W4390828406"],"abstract_inverted_index":{"This":[0,22],"paper":[1],"proposes":[2],"a":[3,34,46,53,70,91],"novel":[4],"approach,":[5],"Source":[6,92],"Language":[7,93],"Prediction-Language":[8],"Model":[9],"for":[10,27],"Neural":[11],"Machine":[12],"Translation":[13],"(SLP-LMNMT),":[14],"based":[15],"on":[16,36],"the":[17,38,61,79,84,99,105],"UNILM\u2019s":[18],"sequence-to-sequence":[19],"(seq2seq)":[20],"model.":[21],"model":[23,74],"is":[24],"specifically":[25],"designed":[26],"bilingual":[28],"and":[29,56,86],"many-to-one":[30],"translation":[31,113],"tasks,":[32],"with":[33,90],"focus":[35],"predicting":[37],"source":[39,85,100],"language":[40,48,73,101],"type.":[41,102],"It":[42],"reframes":[43],"NMT":[44],"as":[45],"natural":[47],"understanding":[49],"task":[50,96],"by":[51],"using":[52],"unified":[54],"encoder":[55],"decoder":[57],"structure,":[58],"departing":[59],"from":[60,83],"conventional":[62],"encoder2decoder":[63],"setup.":[64],"Similar":[65],"to":[66,76,97,116],"BERT,":[67],"SLP-LMNMT":[68],"combines":[69],"restricted":[71],"masked":[72,80],"(R-MLM)":[75],"determine":[77],"whether":[78],"tokens":[81],"are":[82],"target":[87],"sequences,":[88],"along":[89],"Prediction":[94],"(SLP)":[95],"identify":[98],"Experiments":[103],"demonstrate":[104],"efficiency":[106],"of":[107],"SLP-LMNMT,":[108],"show":[109],"significant":[110],"improvements":[111],"in":[112],"performance":[114],"compared":[115],"unidirectional":[117],"models.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
