{"id":"https://openalex.org/W4407174144","doi":"https://doi.org/10.1177/14727978251318799","title":"Developing an artificial intelligence model for English grammar correction: A computational linguistics approach","display_name":"Developing an artificial intelligence model for English grammar correction: A computational linguistics approach","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4407174144","doi":"https://doi.org/10.1177/14727978251318799"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251318799","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251318799","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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":null,"display_name":"Han Jiang","orcid":"https://orcid.org/0009-0007-0517-6207"},"institutions":[{"id":"https://openalex.org/I4210096047","display_name":"Yantai Automobile Engineering Professional College","ror":"https://ror.org/00sh5y950","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096047"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Jiang","raw_affiliation_strings":["Basic Teaching Department, Hebi Automotive Engineering Professional College, Hebi, China"],"raw_orcid":"https://orcid.org/0009-0007-0517-6207","affiliations":[{"raw_affiliation_string":"Basic Teaching Department, Hebi Automotive Engineering Professional College, Hebi, China","institution_ids":["https://openalex.org/I4210096047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096047"],"apc_list":null,"apc_paid":null,"fwci":3.0621,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90630048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"25","issue":"4","first_page":"2992","last_page":"3006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9866999983787537,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9866999983787537,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.9857000112533569,"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/T13647","display_name":"AI and Big Data Applications","score":0.9391000270843506,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8395425081253052},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.7139195799827576},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6688466668128967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.665062665939331},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.5166342854499817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3260727524757385},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2138669490814209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395425081253052},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.7139195799827576},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6688466668128967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.665062665939331},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.5166342854499817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3260727524757385},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2138669490814209},{"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:10.1177/14727978251318799","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251318799","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2523609337","https://openalex.org/W2803933017","https://openalex.org/W2945417453","https://openalex.org/W2955202322","https://openalex.org/W2968831808","https://openalex.org/W2979629418","https://openalex.org/W2989815122","https://openalex.org/W2992359064","https://openalex.org/W3008308101","https://openalex.org/W3015001695","https://openalex.org/W3015645773","https://openalex.org/W3032992654","https://openalex.org/W3041181542","https://openalex.org/W3088779185","https://openalex.org/W3092058276","https://openalex.org/W3092650398","https://openalex.org/W3095657291","https://openalex.org/W3114243488","https://openalex.org/W3115467422","https://openalex.org/W3116510459","https://openalex.org/W3116890009","https://openalex.org/W3148181069","https://openalex.org/W3157976194","https://openalex.org/W3163701888","https://openalex.org/W3168208990","https://openalex.org/W3183463675","https://openalex.org/W3186514175","https://openalex.org/W4200585851","https://openalex.org/W4212808971","https://openalex.org/W4225471030","https://openalex.org/W4250538678","https://openalex.org/W4285180354","https://openalex.org/W4285248746","https://openalex.org/W4288064038","https://openalex.org/W4319746602","https://openalex.org/W4391928662","https://openalex.org/W6808464223","https://openalex.org/W6965064126"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0,95],"article":[1,45,96,152],"aimed":[2],"to":[3,61],"explore":[4],"the":[5,63,87,108,126,128,163],"development":[6],"of":[7,37,66,110,119,167],"an":[8],"artificial":[9,172],"intelligence":[10,173],"model":[11,101,111,120,149,174],"for":[12,137],"English":[13],"grammar":[14,22,140,155,170,183],"correction":[15,23,156,171,184],"based":[16,176],"on":[17,177],"computational":[18,178],"linguistics":[19,179],"methods.":[20],"Traditional":[21],"systems":[24],"suffer":[25],"from":[26],"problems":[27],"such":[28],"as":[29],"complex":[30,67],"rules,":[31],"sparse":[32],"data,":[33],"and":[34,56,70,77,80,91,103,114,122,133,145,161,165,186],"insufficient":[35],"utilization":[36],"contextual":[38],"information.":[39],"To":[40],"address":[41],"these":[42],"issues,":[43],"this":[44,151],"adopted":[46],"Transformer\u2019s":[47],"pre-trained":[48],"language":[49],"model,":[50],"utilizing":[51],"its":[52],"powerful":[53],"context":[54],"understanding":[55],"automatic":[57],"feature":[58],"extraction":[59],"capabilities":[60],"improve":[62],"processing":[64],"performance":[65],"syntax":[68],"structures":[69],"long-distance":[71],"dependencies.":[72],"Meanwhile,":[73],"by":[74],"constructing":[75],"large-scale":[76],"diverse":[78],"datasets":[79],"combining":[81],"them":[82],"with":[83],"data":[84],"augmentation":[85],"techniques,":[86],"model\u2019s":[88],"generalization":[89],"ability":[90],"robustness":[92],"were":[93,142],"enhanced.":[94],"also":[97],"investigated":[98],"hyperparameter":[99],"tuning,":[100],"integration,":[102],"continuous":[104],"optimization":[105],"strategies":[106],"in":[107,150,181],"process":[109],"training":[112],"optimization,":[113],"provided":[115],"a":[116,168],"detailed":[117],"description":[118],"evaluation":[121],"experimental":[123],"validation.":[124],"In":[125],"evaluation,":[127],"average":[129,131,134],"precision,":[130],"recall,":[132],"F1":[135],"score":[136],"most":[138],"common":[139],"errors":[141],"0.8,":[143],"0.805,":[144],"0.801,":[146],"respectively.":[147],"The":[148],"has":[153],"excellent":[154],"ability.":[157],"Through":[158],"comprehensive":[159],"experiments":[160],"evaluations,":[162],"potential":[164],"advantages":[166],"new":[169],"developed":[175],"methods":[180],"improving":[182],"effectiveness":[185],"practicality":[187],"have":[188],"been":[189],"demonstrated.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}