{"id":"https://openalex.org/W2165945467","doi":"https://doi.org/10.1145/1967293.1967297","title":"Visually and Phonologically Similar Characters in Incorrect Chinese Words","display_name":"Visually and Phonologically Similar Characters in Incorrect Chinese Words","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2165945467","doi":"https://doi.org/10.1145/1967293.1967297","mag":"2165945467"},"language":"en","primary_location":{"id":"doi:10.1145/1967293.1967297","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1967293.1967297","pdf_url":null,"source":{"id":"https://openalex.org/S56575750","display_name":"ACM Transactions on Asian Language Information Processing","issn_l":"1530-0226","issn":["1530-0226","1558-3430"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian Language Information Processing","raw_type":"journal-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/A5087767828","display_name":"C.-L. Liu","orcid":"https://orcid.org/0009-0002-8113-3894"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"C.-L. Liu","raw_affiliation_strings":["National Chengchi University"],"affiliations":[{"raw_affiliation_string":"National Chengchi University","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110384971","display_name":"Min-Hua Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"M.-H. Lai","raw_affiliation_strings":["National Chengchi University"],"affiliations":[{"raw_affiliation_string":"National Chengchi University","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112144041","display_name":"Kan-Wen Tien","orcid":null},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"K.-W. Tien","raw_affiliation_strings":["National Chengchi University"],"affiliations":[{"raw_affiliation_string":"National Chengchi University","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014996213","display_name":"Yi\u2010Hsuan Chuang","orcid":"https://orcid.org/0000-0002-1351-4305"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Y.-H. Chuang","raw_affiliation_strings":["National Chengchi University"],"affiliations":[{"raw_affiliation_string":"National Chengchi University","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008964848","display_name":"Shih-Hung Wu","orcid":"https://orcid.org/0000-0002-1769-0613"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"S.-H. Wu","raw_affiliation_strings":["Chaoyang University of Technology"],"affiliations":[{"raw_affiliation_string":"Chaoyang University of Technology","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111127670","display_name":"C.-Y. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"C.-Y. Lee","raw_affiliation_strings":["Academia Sinica"],"affiliations":[{"raw_affiliation_string":"Academia Sinica","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087767828"],"corresponding_institution_ids":["https://openalex.org/I87354575"],"apc_list":null,"apc_paid":null,"fwci":13.2549,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.98842827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"10","issue":"2","first_page":"1","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9919000267982483,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9919000267982483,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.987500011920929,"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/T13629","display_name":"Text Readability and Simplification","score":0.9819999933242798,"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/chinese-characters","display_name":"Chinese characters","score":0.7790159583091736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152546644210815},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7085541486740112},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7006144523620605},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.5725269317626953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5492066740989685},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5339822769165039},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5140434503555298},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33205145597457886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15144917368888855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15023189783096313},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10700049996376038}],"concepts":[{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.7790159583091736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152546644210815},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7085541486740112},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7006144523620605},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.5725269317626953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5492066740989685},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5339822769165039},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5140434503555298},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33205145597457886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15144917368888855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15023189783096313},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10700049996376038},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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:10.1145/1967293.1967297","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1967293.1967297","pdf_url":null,"source":{"id":"https://openalex.org/S56575750","display_name":"ACM Transactions on Asian Language Information Processing","issn_l":"1530-0226","issn":["1530-0226","1558-3430"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G8568516469","display_name":null,"funder_award_id":"97-2221-E-004-00799-2221-E-004-00799-2918-I-004-008","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1495461096","https://openalex.org/W1507039213","https://openalex.org/W1532325895","https://openalex.org/W1549197950","https://openalex.org/W1569400707","https://openalex.org/W1574901103","https://openalex.org/W1920383829","https://openalex.org/W1965391193","https://openalex.org/W1981533728","https://openalex.org/W1989860771","https://openalex.org/W2014057463","https://openalex.org/W2025700833","https://openalex.org/W2034038326","https://openalex.org/W2070944431","https://openalex.org/W2072480486","https://openalex.org/W2075931690","https://openalex.org/W2078836860","https://openalex.org/W2080858991","https://openalex.org/W2082373344","https://openalex.org/W2092286949","https://openalex.org/W2094272190","https://openalex.org/W2097801187","https://openalex.org/W2102249999","https://openalex.org/W2106053771","https://openalex.org/W2115675483","https://openalex.org/W2147707543","https://openalex.org/W2148212498","https://openalex.org/W2158574668","https://openalex.org/W2166233227","https://openalex.org/W2171154615","https://openalex.org/W2210443512","https://openalex.org/W2275238446","https://openalex.org/W2349298628","https://openalex.org/W2892737606","https://openalex.org/W2893531323","https://openalex.org/W4206070857","https://openalex.org/W4213009331","https://openalex.org/W4236750182","https://openalex.org/W6694117208"],"related_works":["https://openalex.org/W2393609567","https://openalex.org/W2369369044","https://openalex.org/W2357953719","https://openalex.org/W2385192443","https://openalex.org/W2383960131","https://openalex.org/W2380164763","https://openalex.org/W2381493610","https://openalex.org/W2391760175","https://openalex.org/W2356947934","https://openalex.org/W2390320612"],"abstract_inverted_index":{"Information":[0],"about":[1,162],"students\u2019":[2],"mistakes":[3,32],"opens":[4],"a":[5,44,100,159],"window":[6],"to":[7,21,76,90,124,138,155],"an":[8],"understanding":[9],"of":[10,26,52,61,71,107,116,142,161,178,206,218,229,250,258],"their":[11],"learning":[12,39],"processes,":[13],"and":[14,83,93,157,195,255],"helps":[15],"us":[16],"design":[17],"effective":[18],"course":[19],"work":[20],"help":[22],"students":[23],"avoid":[24],"replication":[25,106],"the":[27,50,77,81,84,114,121,126,140,153,172,179,185,192,198,204,207,222,226,230,239,244,251,259],"same":[28],"errors.":[29,181,262],"Learning":[30],"from":[31,166],"is":[33,42],"important":[34],"not":[35],"just":[36],"in":[37,47,176,191,248,256],"human":[38],"activities;":[40],"it":[41],"also":[43,134],"crucial":[45],"ingredient":[46],"techniques":[48],"for":[49,171,221],"developments":[51],"student":[53],"models.":[54],"In":[55],"this":[56],"article,":[57],"we":[58,151],"report":[59],"findings":[60],"our":[62,214],"study":[63],"on":[64],"4,100":[65,180,223],"erroneous":[66],"Chinese":[67,109,118,130,145],"words.":[68,110],"Seventy-six":[69],"percent":[70],"these":[72],"errors":[73,254],"were":[74,88],"related":[75],"phonological":[78],"similarity":[79,128,143],"between":[80,129,144],"correct":[82],"incorrect":[85,108,186,199,219,240],"characters,":[86,165,170],"46%":[87],"due":[89],"visual":[91,127],"similarity,":[92],"29%":[94],"involved":[95],"both":[96],"factors.":[97],"We":[98,182],"propose":[99],"computing":[101],"algorithm":[102,112,133,154,215],"that":[103,213,238],"aims":[104],"at":[105,203],"The":[111,132],"extends":[113],"principles":[115],"decomposing":[117],"characters":[119,220,241],"with":[120],"Cangjie":[122],"codes":[123],"judge":[125],"characters.":[131],"employs":[135],"empirical":[136],"rules":[137],"determine":[139],"degree":[141],"phonemes.":[146],"To":[147],"show":[148,212],"its":[149],"effectiveness,":[150],"ran":[152],"select":[156],"rank":[158],"list":[160,194],"100":[163],"candidate":[164,193,208,231],"more":[167],"than":[168],"5,100":[169],"incorrectly":[173],"written":[174],"character":[175,187,200],"each":[177],"inspected":[183],"whether":[184,197],"was":[188,201,233],"indeed":[189],"included":[190],"analyzed":[196],"ranked":[202,242],"top":[205,245],"list.":[209],"Experimental":[210],"results":[211],"captured":[216],"97%":[217],"errors,":[224],"when":[225],"average":[227],"length":[228],"lists":[232],"104.":[234],"Further":[235],"analyses":[236],"showed":[237],"among":[243],"10":[246],"candidates":[247],"89%":[249],"phonologically":[252],"similar":[253,261],"80%":[257],"visually":[260]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}