{"id":"https://openalex.org/W2212622123","doi":"https://doi.org/10.18653/v1/n16-1077","title":"Morphological Inflection Generation Using Character Sequence to Sequence Learning","display_name":"Morphological Inflection Generation Using Character Sequence to Sequence Learning","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2212622123","doi":"https://doi.org/10.18653/v1/n16-1077","mag":"2212622123"},"language":"en","primary_location":{"id":"doi:10.18653/v1/n16-1077","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1077","pdf_url":"https://doi.org/10.18653/v1/n16-1077","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/n16-1077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014855689","display_name":"Manaal Faruqui","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manaal Faruqui","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062910836","display_name":"Yulia Tsvetkov","orcid":"https://orcid.org/0000-0002-4634-7128"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yulia Tsvetkov","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068811427","display_name":"Graham Neubig","orcid":"https://orcid.org/0000-0002-2072-3789"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Graham Neubig","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111222692","display_name":"Chris Dyer","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chris Dyer","raw_affiliation_strings":["Nara Institute of Science & Technology#TAB#"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science & Technology#TAB#","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014855689"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.6662,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91679603,"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":"634","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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":1.0,"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/T10028","display_name":"Topic Modeling","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/T12031","display_name":"Speech and dialogue systems","score":0.9958999752998352,"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":0.9534041881561279},{"id":"https://openalex.org/keywords/lemma","display_name":"Lemma (botany)","score":0.7110564112663269},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7056184411048889},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6611297726631165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979401469230652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5702967643737793},{"id":"https://openalex.org/keywords/inflection-point","display_name":"Inflection point","score":0.4781661629676819},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4745025336742401},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.47249332070350647},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4619560241699219},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4231407046318054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2605176866054535},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07301265001296997}],"concepts":[{"id":"https://openalex.org/C159403335","wikidata":"https://www.wikidata.org/wiki/Q207857","display_name":"Inflection","level":2,"score":0.9534041881561279},{"id":"https://openalex.org/C2777759810","wikidata":"https://www.wikidata.org/wiki/Q149316","display_name":"Lemma (botany)","level":3,"score":0.7110564112663269},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7056184411048889},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6611297726631165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979401469230652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5702967643737793},{"id":"https://openalex.org/C74545648","wikidata":"https://www.wikidata.org/wiki/Q212794","display_name":"Inflection point","level":2,"score":0.4781661629676819},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4745025336742401},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.47249332070350647},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4619560241699219},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4231407046318054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2605176866054535},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07301265001296997},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C46757340","wikidata":"https://www.wikidata.org/wiki/Q43238","display_name":"Poaceae","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/n16-1077","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1077","pdf_url":"https://doi.org/10.18653/v1/n16-1077","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1512.06110","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.06110","pdf_url":"https://arxiv.org/pdf/1512.06110","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"mag:2212622123","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1512.06110.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1512.06110","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1512.06110","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/n16-1077","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/n16-1077","pdf_url":"https://doi.org/10.18653/v1/n16-1077","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2212622123.pdf","grobid_xml":"https://content.openalex.org/works/W2212622123.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W201288405","https://openalex.org/W627498308","https://openalex.org/W645927007","https://openalex.org/W1513168562","https://openalex.org/W1593247906","https://openalex.org/W1631260214","https://openalex.org/W1642393990","https://openalex.org/W1689711448","https://openalex.org/W1810943226","https://openalex.org/W1860935423","https://openalex.org/W1908676432","https://openalex.org/W1916501714","https://openalex.org/W1975638594","https://openalex.org/W2007976151","https://openalex.org/W2018789714","https://openalex.org/W2047603832","https://openalex.org/W2053315290","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2101609803","https://openalex.org/W2103170111","https://openalex.org/W2109227373","https://openalex.org/W2116211107","https://openalex.org/W2117642127","https://openalex.org/W2135293965","https://openalex.org/W2136094405","https://openalex.org/W2152249239","https://openalex.org/W2158899491","https://openalex.org/W2170464899","https://openalex.org/W2180952760","https://openalex.org/W2187089797","https://openalex.org/W2189550228","https://openalex.org/W2251652123","https://openalex.org/W2298625384","https://openalex.org/W2461808544","https://openalex.org/W2611071497","https://openalex.org/W2949335953","https://openalex.org/W2949563612","https://openalex.org/W2949888546","https://openalex.org/W2964005834","https://openalex.org/W2964308564","https://openalex.org/W3183153947"],"related_works":["https://openalex.org/W2963965928","https://openalex.org/W3036029043","https://openalex.org/W3104964797","https://openalex.org/W2134515282","https://openalex.org/W2071461047","https://openalex.org/W2986189714","https://openalex.org/W2925483345","https://openalex.org/W2997336965","https://openalex.org/W3121024243","https://openalex.org/W1634154965","https://openalex.org/W2220350356","https://openalex.org/W2526744500","https://openalex.org/W2011837977","https://openalex.org/W1899794420","https://openalex.org/W2942580821","https://openalex.org/W3112145124","https://openalex.org/W2851678216","https://openalex.org/W2756999401","https://openalex.org/W2533485883","https://openalex.org/W38238952"],"abstract_inverted_index":{"Morphological":[0],"inflection":[1,26,86],"generation":[2,27],"is":[3,50],"the":[4,8,23,41],"task":[5],"of":[6,11,25,40,70,85],"generating":[7],"inflected":[9],"form":[10],"a":[12,17,29,38],"given":[13],"lemma":[14],"corresponding":[15],"to":[16,32,81],"particular":[18],"linguistic":[19],"transformation.":[20],"We":[21,63],"model":[22,44,49],"problem":[24,35],"as":[28],"character":[30],"sequence":[31,33],"learning":[34],"and":[36,53,60,74],"present":[37],"variant":[39],"neural":[42],"encoder-decoder":[43],"for":[45],"solving":[46],"it.":[47],"Our":[48],"language":[51],"independent":[52],"can":[54],"be":[55],"trained":[56],"in":[57],"both":[58],"supervised":[59],"semi-supervised":[61],"settings.":[62],"evaluate":[64],"our":[65],"system":[66],"on":[67],"seven":[68],"datasets":[69],"morphologically":[71],"rich":[72],"languages":[73],"achieve":[75],"either":[76],"better":[77],"or":[78],"comparable":[79],"results":[80],"existing":[82],"state-of-the-art":[83],"models":[84],"generation.":[87]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}