{"id":"https://openalex.org/W4310497360","doi":"https://doi.org/10.1145/3563768.3565550","title":"Grammar Inference for Ad Hoc Parsers","display_name":"Grammar Inference for Ad Hoc Parsers","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4310497360","doi":"https://doi.org/10.1145/3563768.3565550"},"language":"en","primary_location":{"id":"doi:10.1145/3563768.3565550","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563768.3565550","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3563768.3565550","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 2022 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3563768.3565550","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045368238","display_name":"Michael Schr\u00f6der","orcid":"https://orcid.org/0000-0003-1496-0531"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Michael Schr\u00f6der","raw_affiliation_strings":["TU Wien, Austria"],"affiliations":[{"raw_affiliation_string":"TU Wien, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045368238"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12096037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9993000030517578,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9993000030517578,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8034379482269287},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6552938222885132},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5884175896644592},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5741914510726929},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5296368598937988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5121300220489502},{"id":"https://openalex.org/keywords/grammar-induction","display_name":"Grammar induction","score":0.42902329564094543},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.36840611696243286},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.3568922281265259},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2921428680419922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8034379482269287},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6552938222885132},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5884175896644592},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5741914510726929},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5296368598937988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5121300220489502},{"id":"https://openalex.org/C56601403","wikidata":"https://www.wikidata.org/wiki/Q5593673","display_name":"Grammar induction","level":3,"score":0.42902329564094543},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.36840611696243286},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.3568922281265259},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2921428680419922},{"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:10.1145/3563768.3565550","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563768.3565550","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3563768.3565550","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 2022 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3563768.3565550","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563768.3565550","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3563768.3565550","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 2022 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310497360.pdf","grobid_xml":"https://content.openalex.org/works/W4310497360.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W146475325","https://openalex.org/W1480909796","https://openalex.org/W1534459555","https://openalex.org/W1858945639","https://openalex.org/W1970168990","https://openalex.org/W1989526951","https://openalex.org/W2002411399","https://openalex.org/W2008609084","https://openalex.org/W2018951244","https://openalex.org/W2045900383","https://openalex.org/W2052958416","https://openalex.org/W2073904768","https://openalex.org/W2119887272","https://openalex.org/W2120437191","https://openalex.org/W2126859103","https://openalex.org/W2143077513","https://openalex.org/W2148315256","https://openalex.org/W2154021641","https://openalex.org/W2219864925","https://openalex.org/W2228938473","https://openalex.org/W2293624369","https://openalex.org/W2295923951","https://openalex.org/W2416392025","https://openalex.org/W2499791918","https://openalex.org/W2503194674","https://openalex.org/W2514578992","https://openalex.org/W2520809601","https://openalex.org/W2583467670","https://openalex.org/W2583649498","https://openalex.org/W2767683523","https://openalex.org/W2772336084","https://openalex.org/W2890873226","https://openalex.org/W2899781671","https://openalex.org/W2954552517","https://openalex.org/W2964054648","https://openalex.org/W2993429484","https://openalex.org/W3001875841","https://openalex.org/W3033748891","https://openalex.org/W3046985528","https://openalex.org/W3101498506","https://openalex.org/W3101627445","https://openalex.org/W3125193087","https://openalex.org/W3187876763","https://openalex.org/W4206078070","https://openalex.org/W4206807714","https://openalex.org/W4210406996","https://openalex.org/W4231784167","https://openalex.org/W4233804448","https://openalex.org/W4241372395","https://openalex.org/W4252861488","https://openalex.org/W6910566597"],"related_works":["https://openalex.org/W123468065","https://openalex.org/W2118045671","https://openalex.org/W4237776144","https://openalex.org/W1517025915","https://openalex.org/W1974236250","https://openalex.org/W3144287057","https://openalex.org/W2170837769","https://openalex.org/W2026740477","https://openalex.org/W1487802415","https://openalex.org/W1964225978"],"abstract_inverted_index":{"Any":[0],"time":[1],"we":[2,12,66],"use":[3],"common":[4],"string":[5],"functions":[6],"like":[7],"split,":[8],"trim,":[9],"or":[10],"slice,":[11],"effectively":[13],"perform":[14],"parsing.":[15,85],"Yet":[16],"no":[17],"one":[18],"ever":[19],"bothers":[20],"to":[21,39,58],"write":[22],"down":[23],"grammars":[24,42],"for":[25],"such":[26],"ad":[27,83],"hoc":[28],"parsers.":[29],"We":[30],"propose":[31],"a":[32,50,73],"grammar":[33],"inference":[34],"system":[35,77],"that":[36,78],"allows":[37],"programmers":[38],"get":[40],"input":[41],"from":[43,55],"unannotated":[44],"source":[45],"code":[46],"\u201cfor":[47],"free,\u201d":[48],"enabling":[49],"range":[51],"of":[52,82],"new":[53],"possibilities,":[54],"interactive":[56],"documentation":[57],"grammar-aware":[59],"semantic":[60],"change":[61],"tracking.":[62],"To":[63],"this":[64],"end,":[65],"introduce":[67],"Panini,":[68],"an":[69],"intermediate":[70],"representation":[71],"with":[72],"novel":[74],"refinement":[75],"type":[76],"incorporates":[79],"domain":[80],"knowledge":[81],"\u200dhoc":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}