{"id":"https://openalex.org/W3001792622","doi":"https://doi.org/10.1145/3373419.3373444","title":"Grammar Inference with Multiparameter Genetic Model","display_name":"Grammar Inference with Multiparameter Genetic Model","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W3001792622","doi":"https://doi.org/10.1145/3373419.3373444","mag":"3001792622"},"language":"en","primary_location":{"id":"doi:10.1145/3373419.3373444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","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/A5006575815","display_name":"Petr Grachev","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Petr Grachev","raw_affiliation_strings":["ITMO University, St.Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, St.Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006575815"],"corresponding_institution_ids":["https://openalex.org/I173089394"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18410206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"160","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/T12072","display_name":"Machine Learning and Algorithms","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/T11269","display_name":"Algorithms and Data Compression","score":0.9987000226974487,"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":0.9983000159263611,"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/inference","display_name":"Inference","score":0.779165506362915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7660694718360901},{"id":"https://openalex.org/keywords/grammar-induction","display_name":"Grammar induction","score":0.6912128329277039},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.6812506914138794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5709329843521118},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5474609732627869},{"id":"https://openalex.org/keywords/formal-grammar","display_name":"Formal grammar","score":0.5332496166229248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5064994096755981},{"id":"https://openalex.org/keywords/formal-language","display_name":"Formal language","score":0.4233202040195465},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.40192002058029175},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3933756947517395},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.381490021944046},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09517353773117065}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.779165506362915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660694718360901},{"id":"https://openalex.org/C56601403","wikidata":"https://www.wikidata.org/wiki/Q5593673","display_name":"Grammar induction","level":3,"score":0.6912128329277039},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.6812506914138794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5709329843521118},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5474609732627869},{"id":"https://openalex.org/C171553443","wikidata":"https://www.wikidata.org/wiki/Q373045","display_name":"Formal grammar","level":3,"score":0.5332496166229248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5064994096755981},{"id":"https://openalex.org/C146072743","wikidata":"https://www.wikidata.org/wiki/Q192161","display_name":"Formal language","level":2,"score":0.4233202040195465},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.40192002058029175},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3933756947517395},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.381490021944046},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09517353773117065},{"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:10.1145/3373419.3373444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W138607541","https://openalex.org/W647768381","https://openalex.org/W1489421876","https://openalex.org/W1505410541","https://openalex.org/W1543949261","https://openalex.org/W1570763403","https://openalex.org/W1572217717","https://openalex.org/W1745966773","https://openalex.org/W1969005071","https://openalex.org/W1990467282","https://openalex.org/W1998633086","https://openalex.org/W2047739511","https://openalex.org/W2051504145","https://openalex.org/W2092386826","https://openalex.org/W2095224573","https://openalex.org/W2107618763","https://openalex.org/W2115912164","https://openalex.org/W2121702947","https://openalex.org/W2942815729","https://openalex.org/W4206411814","https://openalex.org/W4210804557","https://openalex.org/W6621219108","https://openalex.org/W6629225613","https://openalex.org/W6634921169"],"related_works":["https://openalex.org/W123468065","https://openalex.org/W1517025915","https://openalex.org/W2943519959","https://openalex.org/W2032082745","https://openalex.org/W1527504055","https://openalex.org/W2395233645","https://openalex.org/W2166930810","https://openalex.org/W2072548741","https://openalex.org/W1548146869","https://openalex.org/W4236264548"],"abstract_inverted_index":{"The":[0],"problem":[1,26],"of":[2,6,48,67,69,75],"regular":[3,41],"inference":[4,42],"is":[5,44],"interest":[7],"in":[8],"the":[9,60,65],"formal":[10,73],"language":[11],"theory":[12],"and":[13,58],"its":[14],"conjugates.":[15],"In":[16,31],"recent":[17],"years,":[18],"models":[19],"have":[20],"been":[21],"proposed":[22],"that":[23],"solve":[24],"this":[25,32],"using":[27],"machine":[28],"learning":[29],"methods.":[30],"paper,":[33],"we":[34],"present":[35,64],"a":[36],"brand":[37],"new":[38],"model":[39,61,71],"for":[40,56],"which":[43],"based":[45],"on":[46,72],"principles":[47],"genetic":[49],"algorithms":[50],"along":[51],"with":[52],"inner":[53],"special":[54],"measures":[55],"evaluating":[57],"controlling":[59],"performance.":[62],"We":[63],"results":[66],"testing":[68],"developed":[70],"grammars":[74],"various":[76],"complexity.":[77]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}