{"id":"https://openalex.org/W2795922440","doi":"https://doi.org/10.1162/coli_a_00317","title":"The Influence of Context on the Learning of Metrical Stress Systems Using Finite-State Machines","display_name":"The Influence of Context on the Learning of Metrical Stress Systems Using Finite-State Machines","publication_year":2018,"publication_date":"2018-04-04","ids":{"openalex":"https://openalex.org/W2795922440","doi":"https://doi.org/10.1162/coli_a_00317","mag":"2795922440"},"language":"en","primary_location":{"id":"doi:10.1162/coli_a_00317","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00317","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00317","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081491358","display_name":"Cesko C. Voeten","orcid":"https://orcid.org/0000-0003-4687-9973"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Cesko Voeten","raw_affiliation_strings":["Leiden University","Tilburg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University","institution_ids":["https://openalex.org/I121797337"]},{"raw_affiliation_string":"Tilburg University","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086662281","display_name":"Menno van Zaanen","orcid":"https://orcid.org/0000-0003-1841-2444"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]},{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Menno van Zaanen","raw_affiliation_strings":["Tilburg University","Leiden University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tilburg University","institution_ids":["https://openalex.org/I193700539"]},{"raw_affiliation_string":"Leiden University","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081491358"],"corresponding_institution_ids":["https://openalex.org/I121797337","https://openalex.org/I193700539"],"apc_list":null,"apc_paid":null,"fwci":0.1694,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58137478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"44","issue":"2","first_page":"329","last_page":"348"},"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/T11567","display_name":"semigroups and automata theory","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9869999885559082,"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/learnability","display_name":"Learnability","score":0.6940329670906067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6660637855529785},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6341964602470398},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6340979933738708},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.5956666469573975},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5197553038597107},{"id":"https://openalex.org/keywords/grammar-induction","display_name":"Grammar induction","score":0.43541640043258667},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.42225381731987},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41608259081840515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3641968071460724},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3575480282306671},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"Rule-based machine translation","score":0.269527792930603},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19456589221954346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18111366033554077}],"concepts":[{"id":"https://openalex.org/C2777723229","wikidata":"https://www.wikidata.org/wiki/Q4367921","display_name":"Learnability","level":2,"score":0.6940329670906067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660637855529785},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6341964602470398},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6340979933738708},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.5956666469573975},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5197553038597107},{"id":"https://openalex.org/C56601403","wikidata":"https://www.wikidata.org/wiki/Q5593673","display_name":"Grammar induction","level":3,"score":0.43541640043258667},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.42225381731987},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41608259081840515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3641968071460724},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3575480282306671},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.269527792930603},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19456589221954346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18111366033554077},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1162/coli_a_00317","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00317","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00317","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:tilburguniversity.edu:openaire_cris_publications/1c9d28c1-fbe4-487a-9621-b118ccbcac42","is_oa":false,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/1c9d28c1-fbe4-487a-9621-b118ccbcac42","pdf_url":null,"source":{"id":"https://openalex.org/S4306401490","display_name":"Research portal (Tilburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193700539","host_organization_name":"Tilburg University","host_organization_lineage":["https://openalex.org/I193700539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Voeten, C & van Zaanen, M 2018, 'The Influence of Context on the Learning of Metrical Stress Systems Using Finite-State Machines', Computational Linguistics, vol. 44, no. 2, pp. 329-348. https://doi.org/10.1162/COLI_a_00317","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:59d0538fbba14858a87be71b7e47b876","is_oa":true,"landing_page_url":"https://doaj.org/article/59d0538fbba14858a87be71b7e47b876","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Linguistics, Vol 44, Iss 2, Pp 329-348 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/coli_a_00317","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_a_00317","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00317","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795922440.pdf","grobid_xml":"https://content.openalex.org/works/W2795922440.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W189954595","https://openalex.org/W790487736","https://openalex.org/W803770162","https://openalex.org/W1495712167","https://openalex.org/W1544102823","https://openalex.org/W1562629456","https://openalex.org/W1608707468","https://openalex.org/W1673234582","https://openalex.org/W1911041415","https://openalex.org/W2030553723","https://openalex.org/W2031469331","https://openalex.org/W2047056160","https://openalex.org/W2088432971","https://openalex.org/W2141845152","https://openalex.org/W2156940641","https://openalex.org/W2164377423","https://openalex.org/W2528347979","https://openalex.org/W2554313304","https://openalex.org/W4211016844","https://openalex.org/W4234995282","https://openalex.org/W6637170152","https://openalex.org/W6639948742"],"related_works":["https://openalex.org/W1524177496","https://openalex.org/W2608395911","https://openalex.org/W1982370770","https://openalex.org/W2165821138","https://openalex.org/W1518563546","https://openalex.org/W2068036649","https://openalex.org/W2164050959","https://openalex.org/W1569593388","https://openalex.org/W1573026207","https://openalex.org/W2010753664"],"abstract_inverted_index":{"Languages":[0],"vary":[1],"in":[2,20,54],"the":[3,15,50,55,136,188,192],"way":[4],"stress":[5,18,27,40,90,161,177,211],"is":[6,165,207],"assigned":[7],"to":[8,82,89,103,115,147,180],"syllables":[9],"within":[10],"words.":[11],"This":[12],"article":[13],"investigates":[14],"learnability":[16],"of":[17,24,39,52,57,97,138,144,150,159],"systems":[19,28,91,178],"a":[21],"wide":[22],"range":[23],"languages.":[25],"The":[26,95],"can":[29],"be":[30,104,181],"described":[31],"using":[32,75,141,163,186],"finite-state":[33,69],"automata":[34,47],"with":[35,92],"symbols":[36],"indicating":[37],"levels":[38],"(primary,":[41],"secondary,":[42],"or":[43,191],"no":[44],"stress).":[45],"Finite-state":[46],"have":[48],"been":[49,66,87,101],"focus":[51],"research":[53],"area":[56],"grammatical":[58],"inference":[59],"for":[60,209],"some":[61,93,176],"time":[62],"now.":[63],"It":[64],"has":[65,86,100],"shown":[67,102],"that":[68,156],"machines":[70],"are":[71],"learnable":[72,106],"from":[73],"examples":[74],"state-merging.":[76],"One":[77],"such":[78],"approach,":[79],"which":[80],"aims":[81],"learn":[83],"k-testable":[84,98,190],"languages,":[85],"applied":[88],"success.":[94],"family":[96],"languages":[99,118],"efficiently":[105],"(in":[107],"polynomial":[108],"time).":[109],"Here,":[110],"we":[111],"extend":[112],"this":[113],"approach":[114,158],"k,":[116,194],"l-local":[117,195],"by":[119,183],"taking":[120],"not":[121],"only":[122],"left":[123,169],"context,":[124,128],"but":[125],"also":[126],"right":[127,173],"into":[129],"account.":[130],"We":[131],"consider":[132],"empirical":[133],"results":[134,154],"testing":[135],"performance":[137],"our":[139,157,184],"learner":[140,185],"various":[142],"amounts":[143],"context":[145,170],"(corresponding":[146],"varying":[148],"definitions":[149],"phonological":[151],"locality).":[152],"Our":[153],"show":[155],"learning":[160,196],"patterns":[162],"state-merging":[164],"more":[166,199],"reliant":[167],"on":[168,172],"than":[171],"context.":[174],"Additionally,":[175],"fail":[179],"learned":[182],"either":[187],"left-context":[189],"left-and-right-context":[193],"system.":[197],"A":[198],"complex":[200],"merging":[201],"strategy,":[202],"and":[203],"hence":[204],"grammar":[205],"representation,":[206],"required":[208],"these":[210],"systems.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}