{"id":"https://openalex.org/W2117309948","doi":"https://doi.org/10.1145/1868294.1868302","title":"Iterative type inference with attribute grammars","display_name":"Iterative type inference with attribute grammars","publication_year":2010,"publication_date":"2010-10-10","ids":{"openalex":"https://openalex.org/W2117309948","doi":"https://doi.org/10.1145/1868294.1868302","mag":"2117309948"},"language":"en","primary_location":{"id":"doi:10.1145/1868294.1868302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1868294.1868302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ninth international conference on Generative programming and component engineering","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/A5084561244","display_name":"Arie Middelkoop","orcid":null},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Arie Middelkoop","raw_affiliation_strings":["Universiteit Utrecht, Utrecht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Universiteit Utrecht, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053655087","display_name":"Atze Dijkstra","orcid":"https://orcid.org/0000-0003-2906-3067"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Atze Dijkstra","raw_affiliation_strings":["Universiteit Utrecht, Utrecht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Universiteit Utrecht, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060098926","display_name":"S. Doaitse Swierstra","orcid":"https://orcid.org/0000-0001-6758-4280"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"S. Doaitse Swierstra","raw_affiliation_strings":["Universiteit Utrecht, Utrecht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Universiteit Utrecht, Utrecht, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084561244"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":null,"apc_paid":null,"fwci":3.6084,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93213889,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10126","display_name":"Logic, programming, and type systems","score":0.9991999864578247,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7819353342056274},{"id":"https://openalex.org/keywords/type-inference","display_name":"Type inference","score":0.7604662179946899},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.750378429889679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7295905351638794},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.5790255069732666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4979984760284424},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49668318033218384},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45010918378829956},{"id":"https://openalex.org/keywords/grammar-induction","display_name":"Grammar induction","score":0.41453680396080017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34513694047927856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3338174521923065},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.29962068796157837}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7819353342056274},{"id":"https://openalex.org/C198370458","wikidata":"https://www.wikidata.org/wiki/Q586459","display_name":"Type inference","level":3,"score":0.7604662179946899},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.750378429889679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295905351638794},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.5790255069732666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4979984760284424},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49668318033218384},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45010918378829956},{"id":"https://openalex.org/C56601403","wikidata":"https://www.wikidata.org/wiki/Q5593673","display_name":"Grammar induction","level":3,"score":0.41453680396080017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34513694047927856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3338174521923065},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.29962068796157837},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1868294.1868302","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1868294.1868302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ninth international conference on Generative programming and component engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320321010","display_name":"Universiteit Utrecht","ror":"https://ror.org/04pp8hn57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W163267481","https://openalex.org/W1506492451","https://openalex.org/W1576065148","https://openalex.org/W1732182002","https://openalex.org/W1849134387","https://openalex.org/W1949136631","https://openalex.org/W1964071625","https://openalex.org/W1990527071","https://openalex.org/W1999551191","https://openalex.org/W2000677048","https://openalex.org/W2003127764","https://openalex.org/W2004155726","https://openalex.org/W2030708691","https://openalex.org/W2032285533","https://openalex.org/W2062950667","https://openalex.org/W2070821087","https://openalex.org/W2073788202","https://openalex.org/W2104690362","https://openalex.org/W2109853339","https://openalex.org/W2117309948","https://openalex.org/W2145809484","https://openalex.org/W2158747086"],"related_works":["https://openalex.org/W4297831890","https://openalex.org/W2804371217","https://openalex.org/W123468065","https://openalex.org/W2963764498","https://openalex.org/W4237776144","https://openalex.org/W2068383718","https://openalex.org/W1517025915","https://openalex.org/W2156211387","https://openalex.org/W3144287057","https://openalex.org/W1977621403"],"abstract_inverted_index":{"Type":[0],"inference":[1,18],"is":[2],"the":[3,26],"process":[4],"of":[5],"constructing":[6],"a":[7],"typing":[8],"derivation":[9,27],"while":[10],"gradually":[11],"discovering":[12],"type":[13],"information.":[14],"During":[15],"this":[16],"process,":[17],"algorithms":[19],"typically":[20],"make":[21],"subtle":[22],"decisions":[23],"based":[24],"on":[25],"constructed":[28],"so":[29],"far.":[30]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}