{"id":"https://openalex.org/W2904657926","doi":"https://doi.org/10.1109/kse.2018.8573427","title":"Vietnamese Diacritics Restoration Using Deep Learning Approach","display_name":"Vietnamese Diacritics Restoration Using Deep Learning Approach","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2904657926","doi":"https://doi.org/10.1109/kse.2018.8573427","mag":"2904657926"},"language":"en","primary_location":{"id":"doi:10.1109/kse.2018.8573427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2018.8573427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Knowledge and Systems Engineering (KSE)","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/A5027252121","display_name":"B\u00f9i Thanh H\u00f9ng","orcid":"https://orcid.org/0000-0002-9400-7582"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Bui Thanh Hung","raw_affiliation_strings":["Software Engineering Department, FPT University, Ho Chi Minh, Viet Nam"],"affiliations":[{"raw_affiliation_string":"Software Engineering Department, FPT University, Ho Chi Minh, Viet Nam","institution_ids":["https://openalex.org/I109689652"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027252121"],"corresponding_institution_ids":["https://openalex.org/I109689652"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.71969683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"347","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9968000054359436,"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":0.9538000226020813,"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/vietnamese","display_name":"Vietnamese","score":0.8717982172966003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.786702036857605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6803308725357056},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5798897743225098},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5435831546783447},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.49371013045310974},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.47323593497276306},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.46666640043258667},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43342283368110657},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39968305826187134},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1927967071533203}],"concepts":[{"id":"https://openalex.org/C103621254","wikidata":"https://www.wikidata.org/wiki/Q9199","display_name":"Vietnamese","level":2,"score":0.8717982172966003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786702036857605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6803308725357056},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5798897743225098},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5435831546783447},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.49371013045310974},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.47323593497276306},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.46666640043258667},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43342283368110657},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39968305826187134},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1927967071533203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse.2018.8573427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2018.8573427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1501212164","https://openalex.org/W1514518395","https://openalex.org/W1899504021","https://openalex.org/W1971541835","https://openalex.org/W2017991382","https://openalex.org/W2041349462","https://openalex.org/W2064675550","https://openalex.org/W2092662763","https://openalex.org/W2144499799","https://openalex.org/W2149995043","https://openalex.org/W2169141432","https://openalex.org/W2296134768","https://openalex.org/W2321916036","https://openalex.org/W6631636882","https://openalex.org/W6696914436","https://openalex.org/W6700656258"],"related_works":["https://openalex.org/W2901286616","https://openalex.org/W2291461084","https://openalex.org/W2050882094","https://openalex.org/W3113733647","https://openalex.org/W4206924063","https://openalex.org/W3042674643","https://openalex.org/W1844055093","https://openalex.org/W61780229","https://openalex.org/W2077055222","https://openalex.org/W2944691285"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,11,75,88,97],"solution":[4],"for":[5,18,29,66,79],"the":[6,30,34,42,64,68,116,124,135,139],"insertion":[7,81],"of":[8,82],"diacritics":[9,22],"into":[10],"text":[12,24],"where":[13],"they":[14],"are":[15,145],"missing,":[16],"especially":[17],"Vietnamese":[19,48],"text.":[20],"Missing":[21],"on":[23],"is":[25,59,87,104],"making":[26],"it":[27],"difficult":[28],"recipient":[31],"to":[32,45,109,141],"understand":[33],"content":[35],"being":[36],"transmitted":[37],"or":[38],"wasting":[39],"time":[40],"re-reading":[41],"content.":[43],"Due":[44],"language":[46,49,98],"distinction,":[47],"has":[50],"many":[51],"diacritical":[52],"marks":[53],"and":[54,106,138],"more":[55],"particularly,":[56],"white":[57],"space":[58],"not":[60],"often":[61],"seen":[62],"as":[63,96],"basis":[65],"determining":[67],"word.":[69],"In":[70],"this":[71,128],"paper,":[72],"we":[73],"propose":[74],"deep":[76,101],"learning":[77,102],"mechanism":[78],"automatic":[80],"diacritics.":[83],"The":[84,100],"proposed":[85,143],"model":[86,126],"character-based":[89],"Long":[90],"Short":[91],"Term":[92],"Memory":[93],"network":[94],"serving":[95],"model.":[99],"approach":[103],"powerful,":[105],"relatively":[107],"robust":[108],"rare":[110],"cases":[111],"that":[112,134],"may":[113],"occur":[114],"in":[115,121],"text,":[117],"with":[118],"little":[119],"reduction":[120],"accuracy.":[122],"Building":[123],"corresponding":[125],"through":[127],"approach,":[129],"our":[130],"experiments":[131],"have":[132],"shown":[133],"achieved":[136],"results":[137],"ability":[140],"enhance":[142],"system":[144],"obviously":[146],"promising.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}