{"id":"https://openalex.org/W3041181542","doi":"https://doi.org/10.1145/3373266","title":"Deep Learning for Arabic Error Detection and Correction","display_name":"Deep Learning for Arabic Error Detection and Correction","publication_year":2020,"publication_date":"2020-07-07","ids":{"openalex":"https://openalex.org/W3041181542","doi":"https://doi.org/10.1145/3373266","mag":"3041181542"},"language":"en","primary_location":{"id":"doi:10.1145/3373266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373266","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"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 and Low-Resource 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/A5064980969","display_name":"Manar Alkhatib","orcid":"https://orcid.org/0000-0003-3805-8163"},"institutions":[{"id":"https://openalex.org/I193260172","display_name":"British University in Dubai","ror":"https://ror.org/00mc18523","country_code":"AE","type":"education","lineage":["https://openalex.org/I193260172"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Manar Alkhatib","raw_affiliation_strings":["British University in Dubai, P.O Box, Dubai, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"British University in Dubai, P.O Box, Dubai, UAE","institution_ids":["https://openalex.org/I193260172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020652383","display_name":"Azza Abdel Monem","orcid":"https://orcid.org/0000-0002-1244-4448"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Azza Abdel Monem","raw_affiliation_strings":["Ain Shams University, P.O Box, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ain Shams University, P.O Box, Cairo, Egypt","institution_ids":["https://openalex.org/I107720978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066945309","display_name":"Khaled Shaalan","orcid":"https://orcid.org/0000-0003-0823-8390"},"institutions":[{"id":"https://openalex.org/I193260172","display_name":"British University in Dubai","ror":"https://ror.org/00mc18523","country_code":"AE","type":"education","lineage":["https://openalex.org/I193260172"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Khaled Shaalan","raw_affiliation_strings":["British University in Dubai, P.O Box, Dubai, UAE"],"raw_orcid":"https://orcid.org/0000-0003-0823-8390","affiliations":[{"raw_affiliation_string":"British University in Dubai, P.O Box, Dubai, UAE","institution_ids":["https://openalex.org/I193260172"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2164,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.90340156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"19","issue":"5","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T13629","display_name":"Text Readability and Simplification","score":0.9915000200271606,"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":0.8230725526809692},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6934056282043457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6670900583267212},{"id":"https://openalex.org/keywords/spelling","display_name":"Spelling","score":0.60014808177948},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5240150690078735},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43735364079475403},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.4115149974822998},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23642173409461975},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.16836658120155334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230725526809692},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6934056282043457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6670900583267212},{"id":"https://openalex.org/C2777801307","wikidata":"https://www.wikidata.org/wiki/Q2088390","display_name":"Spelling","level":2,"score":0.60014808177948},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5240150690078735},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43735364079475403},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.4115149974822998},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23642173409461975},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.16836658120155334},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373266","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373266","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"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 and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1581253957","https://openalex.org/W1940872118","https://openalex.org/W2005708641","https://openalex.org/W2012804051","https://openalex.org/W2123447988","https://openalex.org/W2124397360","https://openalex.org/W2131474076","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2160815625","https://openalex.org/W2170276118","https://openalex.org/W2396324390","https://openalex.org/W2478432301","https://openalex.org/W2489487449","https://openalex.org/W2513181925","https://openalex.org/W2534495290","https://openalex.org/W2550805592","https://openalex.org/W2557249038","https://openalex.org/W2576207596","https://openalex.org/W2594706607","https://openalex.org/W2736405711","https://openalex.org/W2751936342","https://openalex.org/W2767784948","https://openalex.org/W2768035686","https://openalex.org/W2770094585","https://openalex.org/W2884001105","https://openalex.org/W2914304175","https://openalex.org/W2963091658","https://openalex.org/W3100381545","https://openalex.org/W3143835353"],"related_works":["https://openalex.org/W4210411337","https://openalex.org/W4288407670","https://openalex.org/W2950396480","https://openalex.org/W947140380","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W4287599800"],"abstract_inverted_index":{"Research":[0],"on":[1,136],"tools":[2],"for":[3,22,109,121,214,250],"automating":[4],"the":[5,36,59,71,79,96,132,154,157,166,215,232,248],"proofreading":[6],"of":[7,38,47,63,83,156,234],"Arabic":[8,29,39,53,72,86,113,180,207,216],"text":[9,40,188],"has":[10,199],"received":[11],"much":[12],"attention":[13],"in":[14,112,146,192,247],"recent":[15],"years.":[16],"There":[17],"is":[18,152,212],"an":[19,100],"increasing":[20],"demand":[21],"applications":[23],"that":[24,51,66,88,102,226],"can":[25],"detect":[26],"and":[27,31,42,61,81,123,143,190,196,203,238],"correct":[28],"spelling":[30,122],"grammatical":[32],"errors":[33],"to":[34,70,173],"improve":[35],"quality":[37],"content":[41],"application":[43],"input.":[44],"Our":[45],"review":[46],"previous":[48],"studies":[49],"indicates":[50],"few":[52],"spell-checking":[54],"research":[55,220],"efforts":[56],"appropriately":[57],"address":[58,78],"detection":[60,80,111],"correction":[62,82,130],"ill-formed":[64,197],"words":[65,87],"do":[67],"not":[68],"conform":[69],"morphology":[73],"system.":[74,158],"Even":[75],"fewer":[76],"systems":[77],"erroneous":[84,195],"well-formed":[85],"are":[89],"either":[90],"contextually":[91],"or":[92],"semantically":[93],"inconsistent":[94],"within":[95],"text.":[97,114],"We":[98,115],"introduce":[99],"approach":[101],"investigates":[103],"employing":[104],"deep":[105],"neural":[106],"network":[107,150],"technology":[108],"error":[110,125],"have":[116,164,244],"developed":[117,165],"a":[118,137,148],"systematic":[119],"framework":[120],"grammar":[124],"detection,":[126],"as":[127,129],"well":[128],"at":[131,153],"word":[133,144,198],"level,":[134],"based":[135],"bidirectional":[138],"long":[139],"short-term":[140],"memory":[141],"mechanism":[142],"embedding,":[145],"which":[147,193,243],"polynomial":[149],"classifier":[151],"top":[155],"To":[159],"get":[160],"conclusive":[161],"results,":[162],"we":[163],"most":[167],"significant":[168],"gold":[169],"standard":[170],"annotated":[171],"corpus":[172],"date,":[174],"containing":[175],"15":[176],"million":[177],"fully":[178],"inflected":[179],"words.":[181],"The":[182,222],"data":[183],"were":[184],"collected":[185],"from":[186],"diverse":[187],"sources":[189],"genres,":[191],"every":[194],"been":[200,245],"annotated,":[201],"validated,":[202],"manually":[204],"revised":[205],"by":[206],"specialists.":[208],"This":[209],"valuable":[210],"asset":[211],"available":[213],"natural":[217],"language":[218],"processing":[219],"community.":[221],"experimental":[223],"results":[224],"confirm":[225],"our":[227],"proposed":[228],"system":[229],"significantly":[230],"outperforms":[231],"performance":[233],"Microsoft":[235],"Word":[236],"2013":[237],"Open":[239],"Office":[240],"Ayaspell":[241],"3.4,":[242],"used":[246],"literature":[249],"evaluating":[251],"similar":[252],"research.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
