{"id":"https://openalex.org/W2771931552","doi":"https://doi.org/10.1109/ictc.2017.8190763","title":"Line-break prediction of hanmun text using recurrent neural networks","display_name":"Line-break prediction of hanmun text using recurrent neural networks","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771931552","doi":"https://doi.org/10.1109/ictc.2017.8190763","mag":"2771931552"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2017.8190763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8190763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5058019918","display_name":"Dong Hoon Oh","orcid":"https://orcid.org/0000-0001-5240-0047"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong Hoon Oh","raw_affiliation_strings":["School of Electronics Engineering, Kyungpook National University, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040495365","display_name":"Zahra Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zahra Shah","raw_affiliation_strings":["School of Electronics Engineering, Kyungpook National University, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035559552","display_name":"Gil\u2010Jin Jang","orcid":"https://orcid.org/0000-0002-1311-9161"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gil-Jin Jang","raw_affiliation_strings":["School of Electronics Engineering, Kyungpook National University, Daegu, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058019918"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63856336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"720","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9918000102043152,"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":0.8075034618377686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.71923828125},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7096811532974243},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6750223636627197},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5576837062835693},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.529254138469696},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5161470174789429},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.48441699147224426},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.44685959815979004},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4250754117965698},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07540175318717957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075034618377686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71923828125},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7096811532974243},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6750223636627197},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5576837062835693},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.529254138469696},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5161470174789429},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.48441699147224426},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.44685959815979004},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4250754117965698},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07540175318717957},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2017.8190763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8190763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2022075901","https://openalex.org/W2064675550","https://openalex.org/W2087946919","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2143612262","https://openalex.org/W2250489405","https://openalex.org/W2402268235","https://openalex.org/W2588986918","https://openalex.org/W2964308564","https://openalex.org/W6640212811","https://openalex.org/W6679434410"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2969450769"],"abstract_inverted_index":{"Recurrent":[0],"neural":[1],"network":[2],"(RNN)":[3],"has":[4],"been":[5],"broadly":[6],"applied":[7],"to":[8,111,119],"natural":[9],"language":[10],"processing":[11],"(NLP)":[12],"and":[13,34,55,107,123,129],"machine":[14],"translation":[15],"problems,":[16],"by":[17,44],"creating":[18],"a":[19,28,70,87],"deep":[20],"learning":[21],"model":[22,71,88,116],"for":[23,31,72,89,103],"sequential":[24],"data.":[25],"Hanmun":[26,74,93,105,127],"is":[27,42,101],"Korean":[29,41,61],"term":[30],"Chinese":[32,48,78],"characters,":[33],"there":[35,51],"are":[36,52,63],"many":[37],"cases":[38],"in":[39,58,80,141],"which":[40,62],"pronounced":[43],"borrowing":[45],"only":[46],"the":[47,59,112,121],"characters.":[49],"Also,":[50],"proper":[53],"nouns":[54],"place":[56],"names":[57],"traditional":[60],"not":[64],"used":[65,118],"now.":[66],"Therefore,":[67],"we":[68,85],"need":[69],"analyzing":[73,77,104],"rather":[75],"than":[76],"words":[79,125],"Chinese.":[81],"In":[82],"this":[83],"paper,":[84],"propose":[86],"line-break":[90,142],"prediction":[91,143],"of":[92,98,126],"text":[94],"using":[95],"various":[96],"types":[97],"RNNs.":[99],"It":[100],"suitable":[102],"meaning":[106],"usage":[108],"vary":[109],"according":[110],"previous":[113],"words.":[114,131],"This":[115],"was":[117],"segment":[120],"beginning":[122],"ending":[124],"characters":[128],"middle":[130],"Experimental":[132],"results":[133],"show":[134],"that":[135],"our":[136],"approach":[137],"gets":[138],"high":[139],"performance":[140],"on":[144],"Hanmun.":[145]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
