{"id":"https://openalex.org/W2969690445","doi":"https://doi.org/10.1109/siu.2019.8806555","title":"MSVD-Turkish: A Large-Scale Dataset for Video Captioning in Turkish","display_name":"MSVD-Turkish: A Large-Scale Dataset for Video Captioning in Turkish","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2969690445","doi":"https://doi.org/10.1109/siu.2019.8806555","mag":"2969690445"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2019.8806555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5096851238","display_name":"Beg\u00fcm \u00c7tamak","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Beg\u00fcm \u00c7tamak","raw_affiliation_strings":["Hacettepe ü niversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye"],"affiliations":[{"raw_affiliation_string":"Hacettepe ü niversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049888155","display_name":"Menek\u015fe Kuyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Menek\u015fe Kuyu","raw_affiliation_strings":["Hacettepe üniversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye"],"affiliations":[{"raw_affiliation_string":"Hacettepe üniversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000080119","display_name":"Aykut Erdem","orcid":"https://orcid.org/0000-0002-6280-8422"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aykut Erdem","raw_affiliation_strings":["Hacettepe ü niversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye"],"affiliations":[{"raw_affiliation_string":"Hacettepe ü niversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074809120","display_name":"Erkut Erdem","orcid":"https://orcid.org/0000-0002-6744-8614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erkut Erdem","raw_affiliation_strings":["Hacettepe ü niversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye"],"affiliations":[{"raw_affiliation_string":"Hacettepe ü niversitesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5096851238"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65134816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/closed-captioning","display_name":"Closed captioning","score":0.9549484252929688},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.9059143662452698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8202973008155823},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6642934083938599},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6145776510238647},{"id":"https://openalex.org/keywords/aka","display_name":"AKA","score":0.561787486076355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5351029634475708},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5275768041610718},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4873958230018616},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37090763449668884},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08883029222488403},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07445216178894043},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05973276495933533}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9549484252929688},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.9059143662452698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8202973008155823},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6642934083938599},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6145776510238647},{"id":"https://openalex.org/C121158502","wikidata":"https://www.wikidata.org/wiki/Q4652161","display_name":"AKA","level":2,"score":0.561787486076355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351029634475708},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5275768041610718},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4873958230018616},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37090763449668884},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08883029222488403},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07445216178894043},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05973276495933533},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2019.8806555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1572567476","https://openalex.org/W1596841185","https://openalex.org/W1902237438","https://openalex.org/W1995820507","https://openalex.org/W2111078031","https://openalex.org/W2131774270","https://openalex.org/W2133512280","https://openalex.org/W2139501017","https://openalex.org/W2154652894","https://openalex.org/W2425121537","https://openalex.org/W2914699769","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4388893791","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W2949522393"],"abstract_inverted_index":{"Automatically":[0],"generating":[1],"natural":[2],"language":[3,20,39],"descriptions":[4,70],"for":[5,28,112],"videos,":[6],"aka":[7],"video":[8,50,117],"captioning,":[9],"has":[10,33],"been":[11,34],"recently":[12],"introduced":[13],"as":[14,108],"a":[15,61,109],"challenging":[16],"integrated":[17],"vision":[18],"and":[19,90],"problem.":[21],"Although":[22],"researchers":[23],"have":[24],"demonstrated":[25],"numerous":[26],"solutions":[27],"English,":[29],"to":[30,41,47,74],"date":[31],"there":[32],"no":[35],"study":[36,58],"on":[37,98,115],"Turkish":[38,49,63,116],"due":[40],"the":[42,92],"lack":[43],"of":[44,94],"suitable":[45],"datasets":[46],"train":[48],"captioning":[51],"models.":[52],"To":[53],"tackle":[54],"this,":[55],"in":[56],"this":[57],"we":[59,77],"construct":[60],"largescale":[62],"benchmark":[64],"dataset":[65,73,105],"by":[66],"carefully":[67],"translating":[68],"English":[69],"from":[71],"MSVD":[72],"Turkish.":[75],"Moreover,":[76],"implement":[78],"several":[79],"neural":[80],"models,":[81],"including":[82],"LSTM-based":[83],"sequence-to-sequence":[84],"architectures":[85],"with":[86],"temporal":[87],"attention":[88],"mechanisms,":[89],"report":[91],"performances":[93],"these":[95],"strong":[96],"baselines":[97],"our":[99,104],"dataset.":[100],"We":[101],"hope":[102],"that":[103],"will":[106],"serve":[107],"good":[110],"resource":[111],"future":[113],"efforts":[114],"captioning.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}