{"id":"https://openalex.org/W2816340183","doi":"https://doi.org/10.1109/siu.2018.8404431","title":"Image captioning in Turkish with subword units","display_name":"Image captioning in Turkish with subword units","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2816340183","doi":"https://doi.org/10.1109/siu.2018.8404431","mag":"2816340183"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th 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/A5049888155","display_name":"Menek\u015fe Kuyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Menek\u015fe Kuyu","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Hacettepe &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Hacettepe &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","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":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Hacettepe &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Hacettepe &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","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":["Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Hacettepe &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, Hacettepe &#x00DC;niversitesi, Ankara, T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049888155"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66475509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.978600025177002,"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/closed-captioning","display_name":"Closed captioning","score":0.984022855758667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8433469533920288},{"id":"https://openalex.org/keywords/agglutinative-language","display_name":"Agglutinative language","score":0.7826201319694519},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.6831503510475159},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6573483347892761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647284746170044},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5528294444084167},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5471521615982056},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5206089019775391},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5057880878448486},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4526788890361786},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.430875688791275},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19253402948379517}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.984022855758667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8433469533920288},{"id":"https://openalex.org/C80875076","wikidata":"https://www.wikidata.org/wiki/Q171263","display_name":"Agglutinative language","level":3,"score":0.7826201319694519},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.6831503510475159},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6573483347892761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647284746170044},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5528294444084167},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5471521615982056},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5206089019775391},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5057880878448486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4526788890361786},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.430875688791275},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19253402948379517},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2018.8404431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W46679369","https://openalex.org/W658020064","https://openalex.org/W1861492603","https://openalex.org/W1895577753","https://openalex.org/W2014137726","https://openalex.org/W2064675550","https://openalex.org/W2185175083","https://openalex.org/W2282219577","https://openalex.org/W2434050427","https://openalex.org/W2564590796","https://openalex.org/W2733246885","https://openalex.org/W2962784628"],"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/W2098104139","https://openalex.org/W4290735204","https://openalex.org/W4290739335","https://openalex.org/W2816340183","https://openalex.org/W3009270862"],"abstract_inverted_index":{"Automatically":[0],"describing":[1],"images":[2],"with":[3],"natural":[4,23],"sentences,":[5],"also":[6],"known":[7],"as":[8],"image":[9,43,88,109],"captioning,":[10],"is":[11,72],"a":[12,83],"challenging":[13],"research":[14],"problem":[15],"at":[16],"the":[17,33,36,61,80,97,100,130],"intersection":[18],"of":[19,56,82,99],"computer":[20],"vision":[21],"and":[22,76],"language":[24,75],"processing":[25],"which":[26,64,112,125],"has":[27],"recently":[28,41],"become":[29],"very":[30],"popular":[31],"in":[32,38],"literature.":[34],"With":[35],"advances":[37],"deep":[39,50],"learning,":[40],"proposed":[42],"captioning":[44,89,110],"approaches":[45],"are":[46,126],"all":[47],"based":[48],"on":[49,60],"artificial":[51],"neural":[52],"networks.":[53],"However,":[54],"most":[55],"these":[57],"methods":[58],"focus":[59],"English":[62],"language,":[63],"greatly":[65],"restricts":[66],"their":[67],"use":[68],"for":[69,93],"Turkish.":[70],"Turkish":[71,94],"an":[73,87,108],"agglutinative":[74],"suffixes":[77],"might":[78],"change":[79],"meaning":[81],"word":[84],"entirely,":[85],"hence":[86],"approach":[90],"specifically":[91],"designed":[92],"should":[95],"consider":[96],"characteristics":[98],"language.":[101],"In":[102],"this":[103,121],"study,":[104],"we":[105],"propose":[106],"such":[107],"model,":[111],"utilizes":[113],"subword":[114],"units.":[115],"Our":[116],"experimental":[117],"results":[118,124],"show":[119],"that":[120],"model":[122],"provides":[123],"much":[127],"better":[128],"than":[129],"word-based":[131],"model.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
