{"id":"https://openalex.org/W35711202","doi":null,"title":"Morphological Pre-Processing for Turkish to English Statistical Machine Translation","display_name":"Morphological Pre-Processing for Turkish to English Statistical Machine Translation","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W35711202","mag":"35711202"},"language":"en","primary_location":{"id":"mag:35711202","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/iwslt/iwslt2009.html#BisazzaF09","pdf_url":null,"source":{"id":"https://openalex.org/S4306514703","display_name":"IWSLT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IWSLT","raw_type":null},"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/A5019968969","display_name":"Arianna Bisazza","orcid":"https://orcid.org/0000-0003-1270-3048","observed_orcids":["https://orcid.org/0000-0003-1270-3048"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arianna Bisazza","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1270-3048","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110629070","display_name":"Marcello Federico","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marcello Federico","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":2.3126,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.88370758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"135"},"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/T10201","display_name":"Speech Recognition and Synthesis","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"}},{"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/turkish-morphology","display_name":"Turkish morphology","score":0.6710000038146973},{"id":"https://openalex.org/keywords/phrase-based-machine-translation","display_name":"phrase-based statistical machine translation","score":0.9229999780654907},{"id":"https://openalex.org/keywords/alignment","display_name":"alignment","score":0.44699999690055847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7633893489837646},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7544888257980347},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.7277821898460388},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7140486836433411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6974175572395325},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6318106055259705},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5720428228378296},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5562242269515991},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.5543281435966492},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4756462275981903},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.46100375056266785},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4580885171890259},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4444967210292816},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.43977484107017517},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41270512342453003},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2251186966896057},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:35711202","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/iwslt/iwslt2009.html#BisazzaF09","pdf_url":null,"source":{"id":"https://openalex.org/S4306514703","display_name":"IWSLT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IWSLT","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W24718583","https://openalex.org/W593009930","https://openalex.org/W1915022094","https://openalex.org/W2004316800","https://openalex.org/W2124807415","https://openalex.org/W2135161317","https://openalex.org/W2146574666","https://openalex.org/W2156985047","https://openalex.org/W2164529863","https://openalex.org/W2915528332","https://openalex.org/W2984901989","https://openalex.org/W3207232058"],"related_works":["https://openalex.org/W7096890431","https://openalex.org/W2139770225","https://openalex.org/W7095962328","https://openalex.org/W2342339894","https://openalex.org/W1599588252","https://openalex.org/W7098418402","https://openalex.org/W7203825545","https://openalex.org/W2167501402","https://openalex.org/W1987510781","https://openalex.org/W2126882212"],"abstract_inverted_index":{"We":[0],"tried":[1],"to":[2,18,107,117],"cope":[3],"with":[4],"the":[5,19,39,44,48,72,137],"complex":[6],"morphology":[7],"of":[8,14,24,38,47,57,71,86,127],"Turkish":[9,58],"by":[10],"applying":[11],"different":[12],"schemes":[13],"morphological":[15],"word":[16],"segmentation":[17,76,114],"training":[20,40],"and":[21,42,59,67,81,97,105,130],"test":[22,49],"data":[23],"a":[25,35,68,83,118,124],"phrase-based":[26],"statistical":[27],"machine":[28],"translation":[29,73],"system.":[30],"These":[31],"techniques":[32],"allow":[33],"for":[34],"considerable":[36],"reduction":[37,126],"dictionary,":[41],"lower":[43],"out-of-vocabulary":[45,128],"rate":[46,129],"set.":[50],"By":[51],"minimizing":[52],"differences":[53],"between":[54],"lexical":[55,120],"granularities":[56],"English":[60],"we":[61],"can":[62],"produce":[63],"more":[64],"refined":[65],"alignments":[66],"better":[69],"modeling":[70],"task.":[74],"Morphological":[75],"is":[77,95],"highly":[78],"language":[79],"dependent":[80],"requires":[82],"fair":[84],"amount":[85],"linguistic":[87],"knowledge":[88],"in":[89],"its":[90],"development":[91],"phase.":[92],"Yet":[93],"it":[94],"fast":[96],"light-weight":[98],"\u2010":[99,104],"does":[100],"not":[101],"involve":[102],"syntax":[103],"appears":[106],"benefit":[108],"our":[109,112],"IWSLT09":[110],"system:":[111],"best":[113],"scheme":[115],"associated":[116],"simple":[119],"approximation":[121],"technique":[122],"achieved":[123],"50%":[125],"over":[131],"5":[132],"point":[133],"BLEU":[134],"improvement":[135],"above":[136],"baseline.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
