{"id":"https://openalex.org/W4412887807","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1173","title":"Exploiting Phonetics and Glyph Representation at Radical-level for Classical Chinese Understanding","display_name":"Exploiting Phonetics and Glyph Representation at Radical-level for Classical Chinese Understanding","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887807","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1173"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1173","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1173","pdf_url":"https://aclanthology.org/2025.findings-acl.1173.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.1173.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044333761","display_name":"Junyi Xiang","orcid":"https://orcid.org/0000-0003-2717-7888"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junyi Xiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021380974","display_name":"Maofu Liu","orcid":"https://orcid.org/0000-0002-3732-4354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maofu Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"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":0.17360849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22850","last_page":"22871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9563999772071838,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13155","display_name":"Digital Communication and Language","score":0.9358999729156494,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/glyph","display_name":"Glyph (data visualization)","score":0.8171758651733398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6634134650230408},{"id":"https://openalex.org/keywords/phonetics","display_name":"Phonetics","score":0.6556278467178345},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6317837834358215},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5564737319946289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46753379702568054},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39198946952819824},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.37944215536117554},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.24557465314865112},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.0980556309223175}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.8171758651733398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6634134650230408},{"id":"https://openalex.org/C137584468","wikidata":"https://www.wikidata.org/wiki/Q35395","display_name":"Phonetics","level":2,"score":0.6556278467178345},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6317837834358215},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5564737319946289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46753379702568054},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39198946952819824},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.37944215536117554},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.24557465314865112},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0980556309223175},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1173","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1173","pdf_url":"https://aclanthology.org/2025.findings-acl.1173.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.1173","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1173","pdf_url":"https://aclanthology.org/2025.findings-acl.1173.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887807.pdf","grobid_xml":"https://content.openalex.org/works/W4412887807.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2971077392","https://openalex.org/W2350760135","https://openalex.org/W2090371563","https://openalex.org/W1972316918","https://openalex.org/W4312601913","https://openalex.org/W4212776738","https://openalex.org/W2786162233","https://openalex.org/W2151948537","https://openalex.org/W2948259442","https://openalex.org/W2964313340"],"abstract_inverted_index":{"The":[0],"diachronic":[1],"gap":[2],"between":[3,59],"classical":[4,41],"and":[5,19,61,83,106,122,131,140],"modern":[6],"Chinese":[7,42,65,87],"arises":[8],"from":[9],"century-scale":[10],"language":[11,46],"evolution":[12],"through":[13,48],"cumulative":[14],"changes":[15],"in":[16,23,72],"phonological,":[17],"lexical,":[18],"syntactic":[20],"systems,":[21],"resulting":[22],"substantial":[24],"semantic":[25,52,93,120,125,147],"variation":[26],"that":[27,142],"poses":[28],"significant":[29],"challenges":[30],"for":[31,114],"the":[32,56,137],"computational":[33],"modeling":[34,94,145],"of":[35,44],"historical":[36],"texts.Current":[37],"methods":[38],"always":[39],"enhance":[40],"understanding":[43],"pre-trained":[45],"models":[47],"corpus":[49],"pre-training":[50],"or":[51],"integration.However,":[53],"they":[54],"overlook":[55],"synergistic":[57],"relationship":[58],"phonetic":[60],"glyph":[62,84],"features":[63],"within":[64],"characters,":[66],"which":[67],"is":[68],"a":[69,80],"critical":[70],"factor":[71],"deciphering":[73],"characters'":[74],"semantics.In":[75],"this":[76],"paper,":[77],"we":[78],"propose":[79],"radical-level":[81,144],"phonetics":[82],"representation":[85],"enhanced":[86],"model":[88,96],"(RPGCM)":[89],"with":[90],"powerful":[91],"fine-grained":[92],"capabilities.Our":[95],"establishes":[97],"robust":[98],"contextualized":[99],"representations":[100],"through:":[101],"(1)":[102],"rules-based":[103],"radical":[104,112],"decomposition":[105],"byte":[107],"pair":[108],"encoder":[109],"(BPE)":[110],"based":[111],"aggregation":[113],"structural":[115],"pattern":[116],"recognition,":[117],"(2)":[118],"phonetic-glyph":[119],"mapping,":[121],"(3)":[123],"dynamic":[124],"fusion.Experimental":[126],"results":[127],"on":[128],"CCMRC,":[129],"WYWEB,":[130],"C":[132],"3":[133],"Bench":[134],"benchmarks":[135],"demonstrate":[136],"RPGCM's":[138],"superiority":[139],"validate":[141],"explicit":[143],"mitigates":[146],"variations.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
