{"id":"https://openalex.org/W4313459352","doi":"https://doi.org/10.1162/tacl_a_00528","title":"Morphology Without Borders: Clause-Level Morphology","display_name":"Morphology Without Borders: Clause-Level Morphology","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313459352","doi":"https://doi.org/10.1162/tacl_a_00528"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00528","doi":"https://doi.org/10.1162/tacl_a_00528","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1162/tacl_a_00528","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-b","cwts-core","doaj","dongbi-b","jufo-1","norway-2","poland-20","russia-white-list-1"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://dx.doi.org/10.1162/tacl_a_00528","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028852856","display_name":"Omer Goldman","orcid":"https://orcid.org/0000-0001-5863-4856","observed_orcids":["https://orcid.org/0000-0001-5863-4856","https://orcid.org/0009-0004-1966-0321"]},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Omer Goldman","raw_affiliation_strings":["Bar Ilan University, Israel. omer.goldman@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bar Ilan University, Israel. omer.goldman@gmail.com","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063283689","display_name":"Reut Tsarfaty","orcid":"https://orcid.org/0000-0001-6406-6568","observed_orcids":["https://orcid.org/0000-0001-6406-6568"]},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Reut Tsarfaty","raw_affiliation_strings":["Bar Ilan University, Israel. reut.tsarfaty@biu.ac.il"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bar Ilan University, Israel. reut.tsarfaty@biu.ac.il","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028852856","https://openalex.org/A5063283689"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":0.0822,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38234568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"10","issue":null,"first_page":"1455","last_page":"1472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.8529999852180481,"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":0.8529999852180481,"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/T10034","display_name":"Syntax, Semantics, Linguistic Variation","score":0.13050000369548798,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.005900000222027302,"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/computational-morphology","display_name":"computational morphology","score":0.8080000281333923},{"id":"https://openalex.org/keywords/cross-linguistic-consistency","display_name":"cross-linguistic consistency","score":0.7250000238418579},{"id":"https://openalex.org/keywords/word-definitions","display_name":"word definitions","score":0.5400000214576721},{"id":"https://openalex.org/keywords/inflection","display_name":"inflection","score":0.621999979019165},{"id":"https://openalex.org/keywords/morphological-analysis","display_name":"morphological analysis","score":0.9240000247955322},{"id":"https://openalex.org/keywords/contextualized-language-models","display_name":"contextual language models","score":0.9049999713897705},{"id":"https://openalex.org/keywords/english-language","display_name":"English language","score":0.4950000047683716},{"id":"https://openalex.org/keywords/german","display_name":"German","score":1.0},{"id":"https://openalex.org/keywords/turkish-language","display_name":"Turkish language","score":1.0},{"id":"https://openalex.org/keywords/hebrew","display_name":"Hebrew language","score":1.0}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8218173980712891},{"id":"https://openalex.org/C159403335","wikidata":"https://www.wikidata.org/wiki/Q207857","display_name":"Inflection","level":2,"score":0.7733343839645386},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5887672305107117},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.5225781202316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056688785552979},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.470232218503952},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41809260845184326},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4148263931274414},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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":4,"locations":[{"id":"doi:10.1162/tacl_a_00528","doi":"https://doi.org/10.1162/tacl_a_00528","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1162/tacl_a_00528","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-b","cwts-core","doaj","dongbi-b","jufo-1","norway-2","poland-20","russia-white-list-1"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2202.12832","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.12832","pdf_url":"https://arxiv.org/pdf/2202.12832","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:bca2f9858c4b4dfd98256939bf895ab5","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/bca2f9858c4b4dfd98256939bf895ab5","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,"listed_in":[],"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":"Transactions of the Association for Computational Linguistics, Vol 10 (2023)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2202.12832","doi":"https://doi.org/10.48550/arxiv.2202.12832","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2202.12832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00528","doi":"https://doi.org/10.1162/tacl_a_00528","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1162/tacl_a_00528","pdf_url":null,"source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-b","cwts-core","doaj","dongbi-b","jufo-1","norway-2","poland-20","russia-white-list-1"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/4","score":0.75,"display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W46719799","https://openalex.org/W645927007","https://openalex.org/W936962458","https://openalex.org/W1490960179","https://openalex.org/W1516184288","https://openalex.org/W1529276965","https://openalex.org/W1543984587","https://openalex.org/W1607035479","https://openalex.org/W1612238087","https://openalex.org/W1966133627","https://openalex.org/W1972573551","https://openalex.org/W2018982897","https://openalex.org/W2021385925","https://openalex.org/W2038248725","https://openalex.org/W2038542953","https://openalex.org/W2042392800","https://openalex.org/W2056573988","https://openalex.org/W2097125878","https://openalex.org/W2121879602","https://openalex.org/W2124752409","https://openalex.org/W2136094405","https://openalex.org/W2151157246","https://openalex.org/W2163377725","https://openalex.org/W2181768620","https://openalex.org/W2250273070","https://openalex.org/W2479866721","https://openalex.org/W2485094346","https://openalex.org/W2495920857","https://openalex.org/W2508815538","https://openalex.org/W2531621976","https://openalex.org/W2725686455","https://openalex.org/W2750779823","https://openalex.org/W2845772244","https://openalex.org/W2880029892","https://openalex.org/W2890953081","https://openalex.org/W2897105542","https://openalex.org/W2900748402","https://openalex.org/W2915977242","https://openalex.org/W2962784628","https://openalex.org/W2981852735","https://openalex.org/W2982399380","https://openalex.org/W3015650676","https://openalex.org/W3037474895","https://openalex.org/W3123290982","https://openalex.org/W3159613532","https://openalex.org/W3166569019","https://openalex.org/W3188334090","https://openalex.org/W3214933191","https://openalex.org/W3216014454","https://openalex.org/W4211093623","https://openalex.org/W4225361502","https://openalex.org/W4246322755","https://openalex.org/W4251482102","https://openalex.org/W4365799947","https://openalex.org/W4391156274","https://openalex.org/W6748304040","https://openalex.org/W6784577980","https://openalex.org/W6838678277"],"related_works":["https://openalex.org/W4310374561","https://openalex.org/W4385573621","https://openalex.org/W3211723482","https://openalex.org/W4385573458","https://openalex.org/W4399554816","https://openalex.org/W4385573617","https://openalex.org/W2948034705","https://openalex.org/W4205934342","https://openalex.org/W3214933191","https://openalex.org/W2952332047"],"abstract_inverted_index":{"Abstract":[0],"Morphological":[1],"tasks":[2,137],"use":[3,118],"large":[4],"multi-lingual":[5],"datasets":[6],"that":[7,89,134],"organize":[8],"words":[9],"into":[10],"inflection":[11],"tables,":[12],"which":[13,35,53],"then":[14],"serve":[15],"as":[16,71],"training":[17],"and":[18,44,52,115,129,167,177],"evaluation":[19],"data":[20,30],"for":[21,104,180,200],"various":[22],"tasks.":[23,61,182],"However,":[24],"a":[25,41,50,72,82,95,101,159],"closer":[26],"inspection":[27],"of":[28,40,47,58,87,194],"these":[29,175],"reveals":[31],"profound":[32],"cross-linguistic":[33],"inconsistencies,":[34],"arise":[36],"from":[37],"the":[38,56,59,135,142,156,170,192],"lack":[39],"clear":[42],"linguistic":[43],"operational":[45],"definition":[46],"what":[48],"is":[49,79],"word,":[51],"severely":[54],"impair":[55],"universality":[57],"derived":[60],"To":[62],"overcome":[63],"this":[64,119,185],"deficiency,":[65],"we":[66],"propose":[67],"to":[68,121,155],"view":[69],"morphology":[70,106,154,203],"clause-level":[73,105,124,136,157],"phenomenon,":[74],"rather":[75],"than":[76,141],"word-level.":[77],"It":[78],"anchored":[80],"in":[81,94,174,191],"fixed":[83],"yet":[84],"inclusive":[85],"set":[86],"features,":[88],"encapsulates":[90],"all":[91],"functions":[92],"realized":[93],"saturated":[96],"clause.":[97],"We":[98,117],"deliver":[99],"MightyMorph,":[100],"novel":[102],"dataset":[103,120],"covering":[107],"4":[108],"typologically":[109],"different":[110],"languages:":[111],"English,":[112],"German,":[113],"Turkish,":[114],"Hebrew.":[116],"derive":[122],"3":[123],"morphological":[125,171,181],"tasks:":[126],"inflection,":[127],"reinflection":[128],"analysis.":[130],"Our":[131],"experiments":[132],"show":[133],"are":[138],"substantially":[139],"harder":[140],"respective":[143],"word-level":[144],"tasks,":[145],"while":[146],"having":[147],"comparable":[148],"complexity":[149],"across":[150],"languages.":[151],"Furthermore,":[152],"redefining":[153],"provides":[158],"neat":[160],"interface":[161],"with":[162],"contextualized":[163],"language":[164],"models":[165,176],"(LMs)":[166],"allows":[168],"assessing":[169],"knowledge":[172],"encoded":[173],"their":[178],"usability":[179],"Taken":[183],"together,":[184],"work":[186],"opens":[187],"up":[188],"new":[189],"horizons":[190],"study":[193],"computational":[195],"morphology,":[196],"leaving":[197],"ample":[198],"space":[199],"studying":[201],"neural":[202],"cross-linguistically.":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-01-06T00:00:00"}
