{"id":"https://openalex.org/W3204625397","doi":null,"title":"Improving example-based machine translation through morphological generalization and adaptation.","display_name":"Improving example-based machine translation through morphological generalization and adaptation.","publication_year":2007,"publication_date":"2007-09-10","ids":{"openalex":"https://openalex.org/W3204625397","mag":"3204625397"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.115.7929","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.7929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~ralf/papers/mtsummitxi.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5009439776","display_name":"Aaron B. Phillips","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron B. Phillips","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037535832","display_name":"Violetta Cavalli\u2010Sforza","orcid":"https://orcid.org/0000-0002-9877-0008","observed_orcids":["https://orcid.org/0000-0002-9877-0008"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Violetta Cavalli\u2010Sforza","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9877-0008","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006856255","display_name":"Ralf D. Brown","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ralf D. Brown","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4278,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83895903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10759","display_name":"Translation Studies and Practices","score":0.00019999999494757503,"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":9.999999747378752e-05,"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/example-based-machine-translation","display_name":"example-based machine translation","score":1.0},{"id":"https://openalex.org/keywords/arabic-machine-translation","display_name":"Arabic machine translation","score":0.7429999709129333},{"id":"https://openalex.org/keywords/morphological-generalization","display_name":"morphological generalization","score":0.8989999890327454},{"id":"https://openalex.org/keywords/morphological-adaptation","display_name":"morphological adaptation","score":0.7409999966621399},{"id":"https://openalex.org/keywords/rewrite-rules","display_name":"rewrite rules","score":0.7670000195503235},{"id":"https://openalex.org/keywords/rule-based-machine-translation","display_name":"rule-based machine translation","score":0.609000027179718},{"id":"https://openalex.org/keywords/phrase-translation","display_name":"phrase translation","score":0.3190000057220459}],"concepts":[{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5947551727294922},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5856066942214966},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.585601806640625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5855610966682434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5724114179611206},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.442902147769928},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4381200075149536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32924115657806396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2127338945865631},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14846158027648926},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0714293122291565},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.115.7929","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.7929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/~ralf/papers/mtsummitxi.pdf","raw_type":"text"},{"id":"mag:3204625397","doi":null,"is_oa":false,"landing_page_url":"https://aclanthology.org/2007.mtsummit-papers.49/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W4629839","https://openalex.org/W126450992","https://openalex.org/W2002785199","https://openalex.org/W2015350341","https://openalex.org/W2017802499","https://openalex.org/W2065459442","https://openalex.org/W2100976324","https://openalex.org/W2121564430","https://openalex.org/W2132248251","https://openalex.org/W2135161317","https://openalex.org/W2144523916","https://openalex.org/W3037924790"],"related_works":["https://openalex.org/W2506745310","https://openalex.org/W7095846593","https://openalex.org/W7095363548","https://openalex.org/W2156191598","https://openalex.org/W7097319950","https://openalex.org/W112731371","https://openalex.org/W3210345896","https://openalex.org/W2120513984","https://openalex.org/W7100484542","https://openalex.org/W29933666"],"abstract_inverted_index":{"Example":[0],"Based":[1],"Machine":[2],"Translation":[3],"(EBMT)":[4],"is":[5,36],"limited":[6],"by":[7],"the":[8,53,61,69,81,91],"quantity":[9],"and":[10,63,73],"scope":[11],"of":[12,56,65,71,84,106],"its":[13,43],"training":[14,92,104],"data.":[15],"Even":[16],"with":[17,102],"a":[18,48,103],"reasonably":[19],"large":[20],"corpus,":[21],"we":[22,30,76],"will":[23],"not":[24,88],"have":[25],"examples":[26],"that":[27,51,86],"cover":[28],"everything":[29],"want":[31],"to":[32,42,59,79],"translate.":[33],"This":[34],"problem":[35],"especially":[37],"severe":[38],"in":[39,90,99],"Arabic":[40,57],"due":[41],"rich":[44],"morphology.":[45],"We":[46],"demonstrate":[47],"novel":[49],"method":[50],"exploits":[52],"regular":[54],"nature":[55],"morphology":[58],"increase":[60],"quality":[62],"coverage":[64],"machine":[66],"translation.":[67],"Through":[68],"use":[70],"generalization":[72],"rewrite":[74],"rules,":[75],"are":[77],"able":[78],"recover":[80],"English":[82],"translation":[83],"phrases":[85],"do":[87],"exist":[89],"corpora.":[93],"Furthermore,":[94],"this":[95],"system":[96],"shows":[97],"improvement":[98],"BLEU":[100],"even":[101],"corpus":[105],"1.4":[107],"million":[108],"sentence":[109],"pairs.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2021-10-11T00:00:00"}
