{"id":"https://openalex.org/W4393358235","doi":"https://doi.org/10.1587/transinf.2023edl8059","title":"Sense-Aware Decoder for Character Based Japanese-Chinese NMT","display_name":"Sense-Aware Decoder for Character Based Japanese-Chinese NMT","publication_year":2024,"publication_date":"2024-03-31","ids":{"openalex":"https://openalex.org/W4393358235","doi":"https://doi.org/10.1587/transinf.2023edl8059"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2023edl8059","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1587/transinf.2023edl8059","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E107.D/4/E107.D_2023EDL8059/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E107.D/4/E107.D_2023EDL8059/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041406617","display_name":"Zezhong LI","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160030","display_name":"Zhejiang University of Water Resource and Electric Power","ror":"https://ror.org/04dg5b632","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210160030"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhong LI","raw_affiliation_strings":["Faculty of Computer Science, Zhejiang University of Water Resources and Electric Power"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Zhejiang University of Water Resources and Electric Power","institution_ids":["https://openalex.org/I4210160030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071943346","display_name":"Fuji Ren","orcid":"https://orcid.org/0000-0003-4860-9184"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuji REN","raw_affiliation_strings":["Faculty of Computer Science, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03155156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E107.D","issue":"4","first_page":"584","last_page":"587"},"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":0.9995999932289124,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9904999732971191,"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":0.8588438630104065},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.720272421836853},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5697668790817261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5392642617225647},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5322555899620056},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.4543522894382477},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4525827169418335},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4487711489200592},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43224969506263733},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4201653003692627},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.41440698504447937},{"id":"https://openalex.org/keywords/collocation","display_name":"Collocation (remote sensing)","score":0.4123699963092804},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34407269954681396},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2836701571941376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14894422888755798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07758358120918274},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07547891139984131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8588438630104065},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.720272421836853},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5697668790817261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5392642617225647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5322555899620056},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.4543522894382477},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4525827169418335},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4487711489200592},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43224969506263733},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4201653003692627},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.41440698504447937},{"id":"https://openalex.org/C80023036","wikidata":"https://www.wikidata.org/wiki/Q5147531","display_name":"Collocation (remote sensing)","level":2,"score":0.4123699963092804},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34407269954681396},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2836701571941376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14894422888755798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07758358120918274},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07547891139984131},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2023edl8059","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1587/transinf.2023edl8059","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E107.D/4/E107.D_2023EDL8059/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2023edl8059","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1587/transinf.2023edl8059","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E107.D/4/E107.D_2023EDL8059/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393358235.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2162456950","https://openalex.org/W2734653669","https://openalex.org/W2759173152","https://openalex.org/W2896457183","https://openalex.org/W2933138175","https://openalex.org/W2962697716","https://openalex.org/W2963887123","https://openalex.org/W3010716964","https://openalex.org/W3129618450","https://openalex.org/W3155609600","https://openalex.org/W3156662045","https://openalex.org/W3173571438","https://openalex.org/W3207091856"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2370840338","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W1972614803","https://openalex.org/W2362350383"],"abstract_inverted_index":{"Compared":[0],"to":[1,78,152],"subword":[2],"based":[3,9,185],"Neural":[4],"Machine":[5],"Translation":[6],"(NMT),":[7],"character":[8,20,64,76,184],"NMT":[10,157],"eschews":[11],"linguistic-motivated":[12],"segmentation":[13],"which":[14,43,58,73],"performs":[15],"directly":[16],"on":[17,162],"the":[18,71,75,94,101,109,118,121,124,172,177],"raw":[19],"sequence,":[21],"following":[22],"a":[23,66,142,149],"more":[24,31],"absolute":[25],"end-to-end":[26],"manner.":[27],"This":[28],"property":[29],"is":[30,54,65,127],"fascinating":[32],"for":[33,145,183],"machine":[34],"translation":[35],"(MT)":[36],"between":[37],"Japanese":[38],"and":[39,96,112,148,156,175],"Chinese,":[40],"both":[41],"of":[42,81,89,179],"use":[44],"consecutive":[45],"logographic":[46],"characters":[47],"without":[48],"explicit":[49],"word":[50],"boundaries.":[51],"However,":[52],"there":[53,85],"still":[55],"one":[56],"disadvantage":[57],"should":[59],"be":[60,79],"addressed,":[61],"that":[62,166],"is,":[63],"less":[67],"meaning-bearing":[68],"unit":[69],"than":[70],"subword,":[72],"requires":[74],"models":[77],"capable":[80],"sense":[82,90,146,154],"discrimination.":[83],"Specifically,":[84],"are":[86],"two":[87,136],"types":[88],"ambiguities":[91],"existing":[92,114],"in":[93,123],"source":[95],"target":[97,125],"language,":[98],"separately.":[99],"With":[100],"former,":[102],"it":[103],"has":[104],"been":[105],"partially":[106],"solved":[107],"by":[108],"deep":[110],"encoder":[111],"several":[113],"works.":[115],"But":[116],"with":[117],"later,":[119],"interestingly,":[120],"ambiguity":[122],"side":[126],"rarely":[128],"discussed.":[129],"To":[130],"address":[131],"this":[132],"problem,":[133],"we":[134],"propose":[135],"simple":[137],"yet":[138],"effective":[139],"methods,":[140],"including":[141],"non-parametric":[143],"pre-clustering":[144],"induction":[147],"joint":[150],"model":[151],"perform":[153],"discrimination":[155],"training":[158],"simultaneously.":[159],"Extensive":[160],"experiments":[161],"Japanese\u2194Chinese":[163],"MT":[164],"show":[165],"our":[167],"proposed":[168],"methods":[169],"consistently":[170],"outperform":[171],"strong":[173],"baselines,":[174],"verify":[176],"effectiveness":[178],"using":[180],"sense-discriminated":[181],"representation":[182],"NMT.":[186]},"counts_by_year":[],"updated_date":"2025-12-31T23:11:33.660297","created_date":"2025-10-10T00:00:00"}
