{"id":"https://openalex.org/W2740599975","doi":"https://doi.org/10.18653/v1/k17-2002","title":"Training Data Augmentation for Low-Resource Morphological Inflection","display_name":"Training Data Augmentation for Low-Resource Morphological Inflection","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740599975","doi":"https://doi.org/10.18653/v1/k17-2002","mag":"2740599975"},"language":"en","primary_location":{"id":"doi:10.18653/v1/k17-2002","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-2002","pdf_url":"https://www.aclweb.org/anthology/K17-2002.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/K17-2002.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036980337","display_name":"Toms Bergmanis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toms Bergmanis","raw_affiliation_strings":["School of Informatics University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics University of Edinburgh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082874907","display_name":"Katharina Kann","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katharina Kann","raw_affiliation_strings":["Center for Information & Language Processing LMU Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Information & Language Processing LMU Munich","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071144367","display_name":"Hinrich Sch\u00fctze","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hinrich Sch\u00fctze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075564798","display_name":"Sharon Goldwater","orcid":"https://orcid.org/0000-0002-7298-0947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharon Goldwater","raw_affiliation_strings":["School of Informatics University of Edinburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics University of Edinburgh","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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":0.9986000061035156,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9872999787330627,"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/inflection","display_name":"Inflection","score":0.7640234231948853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804584264755249},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.48310160636901855},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4578278660774231},{"id":"https://openalex.org/keywords/inflection-point","display_name":"Inflection point","score":0.446898490190506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40695127844810486},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09384238719940186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08722028136253357}],"concepts":[{"id":"https://openalex.org/C159403335","wikidata":"https://www.wikidata.org/wiki/Q207857","display_name":"Inflection","level":2,"score":0.7640234231948853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804584264755249},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.48310160636901855},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4578278660774231},{"id":"https://openalex.org/C74545648","wikidata":"https://www.wikidata.org/wiki/Q212794","display_name":"Inflection point","level":2,"score":0.446898490190506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40695127844810486},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09384238719940186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08722028136253357},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/k17-2002","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-2002","pdf_url":"https://www.aclweb.org/anthology/K17-2002.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/bbead59c-0afb-42e1-98bf-ef2753164136","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/bbead59c-0afb-42e1-98bf-ef2753164136","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bergmanis, T, Kann, K, Sch\u00fctze, H & Goldwater, S 2017, Training Data Augmentation for Low-Resource Morphological Inflection. in Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection. pp. 31\u201339, CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, Vancouver, Canada, 3/08/17. https://doi.org/10.18653/v1/K17-2002","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/bbead59c-0afb-42e1-98bf-ef2753164136","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/bbead59c-0afb-42e1-98bf-ef2753164136","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.18653/v1/k17-2002","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/k17-2002","pdf_url":"https://www.aclweb.org/anthology/K17-2002.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740599975.pdf","grobid_xml":"https://content.openalex.org/works/W2740599975.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1545920196","https://openalex.org/W1614298861","https://openalex.org/W1616871572","https://openalex.org/W1727944201","https://openalex.org/W1957775505","https://openalex.org/W2133564696","https://openalex.org/W2141684702","https://openalex.org/W2169147927","https://openalex.org/W2170973209","https://openalex.org/W2294970769","https://openalex.org/W2493916176","https://openalex.org/W2508815538","https://openalex.org/W2510905642","https://openalex.org/W2560720892","https://openalex.org/W2741138687","https://openalex.org/W2950577311","https://openalex.org/W2952729433","https://openalex.org/W2962680795","https://openalex.org/W2962705709","https://openalex.org/W2963472176","https://openalex.org/W2963645026","https://openalex.org/W2963842982","https://openalex.org/W2964308564","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2023911433","https://openalex.org/W2488531810","https://openalex.org/W2394188837","https://openalex.org/W4230979140","https://openalex.org/W4387737962","https://openalex.org/W4384071035","https://openalex.org/W3112019694","https://openalex.org/W2093789671","https://openalex.org/W2379280362","https://openalex.org/W2791056068"],"abstract_inverted_index":{"This":[0],"work":[1],"describes":[2],"the":[3,7,26,38,45,102,122],"UoE-LMU":[4],"submission":[5],"for":[6,71,109],"CoNLL-SIGMORPHON":[8],"2017":[9],"Shared":[10],"Task":[11],"on":[12],"Universal":[13],"Morphological":[14],"Reinflection,":[15],"Subtask":[16],"1:":[17],"given":[18],"a":[19,54,69],"lemma":[20],"and":[21,68,118,124],"target":[22,27],"morphological":[23],"tags,":[24],"generate":[25],"inflected":[28],"form.":[29],"We":[30,75],"evaluate":[31],"several":[32],"ways":[33],"to":[34,43,57],"improve":[35],"performance":[36],"in":[37,101,121],"1000-example":[39],"setting:":[40],"three":[41],"methods":[42],"augment":[44],"training":[46],"data":[47],"with":[48],"identical":[49],"input-output":[50],"pairs":[51,60],"(i.e.,":[52],"autoencoding),":[53],"heuristic":[55],"approach":[56],"identify":[58],"likely":[59],"of":[61],"inflectional":[62],"variants":[63],"from":[64,90],"an":[65,91],"unlabeled":[66],"corpus,":[67],"method":[70,97],"crosslingual":[72],"knowledge":[73],"transfer.":[74],"find":[76],"that":[77],"autoencoding":[78,88],"random":[79,95],"strings":[80],"works":[81,99],"surprisingly":[82],"well,":[83],"outperformed":[84],"only":[85],"slightly":[86],"by":[87],"words":[89],"unlabelled":[92],"corpus.":[93],"The":[94],"string":[96],"also":[98],"well":[100],"10,000-example":[103],"setting":[104],"despite":[105],"not":[106],"being":[107],"tuned":[108],"it.":[110],"Among":[111],"18":[112],"submissions":[113],"our":[114],"system":[115],"takes":[116],"1st":[117],"6th":[119],"place":[120],"10k":[123],"1k":[125],"settings,":[126],"respectively.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":20}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}