{"id":"https://openalex.org/W7117398173","doi":null,"title":"Morfolojik a\u00e7\u0131dan zengin diller i\u00e7in \u00f6z dikkat tabanl\u0131 d\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc performans\u0131n\u0131n iyile\u015ftirilmesi","display_name":"Morfolojik a\u00e7\u0131dan zengin diller i\u00e7in \u00f6z dikkat tabanl\u0131 d\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc performans\u0131n\u0131n iyile\u015ftirilmesi","publication_year":2024,"publication_date":"2024-06-14","ids":{"openalex":"https://openalex.org/W7117398173"},"language":"en","primary_location":{"id":"pmh:oai:polen.itu.edu.tr:11527/26094","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11527/26094","pdf_url":"https://polen.itu.edu.tr/bitstreams/51b6c4e8-af51-4aef-8811-c357f65654b7/download","source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":"Doctoral Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://polen.itu.edu.tr/bitstreams/51b6c4e8-af51-4aef-8811-c357f65654b7/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055065959","display_name":"Yi\u011fit Bekir Kaya","orcid":"https://orcid.org/0000-0002-5489-237X","observed_orcids":["https://orcid.org/0000-0002-5489-237X"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kaya, Yi\u011fit Bekir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5055065959"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10028","display_name":"Topic Modeling","score":0.9843999743461609,"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/T10028","display_name":"Topic Modeling","score":0.9843999743461609,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.014700000174343586,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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-language","display_name":"Turkish language","score":0.5950000286102295},{"id":"https://openalex.org/keywords/morphologically-rich-languages","display_name":"morphologically rich languages","score":0.9539999961853027},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"named entity recognition","score":0.8830000162124634},{"id":"https://openalex.org/keywords/vocabulary-size","display_name":"vocabulary size","score":0.9580000042915344},{"id":"https://openalex.org/keywords/out-of-vocabulary-words","display_name":"out-of-vocabulary words","score":0.9309999942779541},{"id":"https://openalex.org/keywords/agglutinative-languages","display_name":"agglutinative languages","score":0.9100000262260437},{"id":"https://openalex.org/keywords/morphological-analysis","display_name":"morphological analysis","score":0.47099998593330383},{"id":"https://openalex.org/keywords/semantic-search","display_name":"semantic search","score":0.5350000262260437},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.46000000834465027}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6514999866485596},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.3801000118255615},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3028999865055084},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.2460000067949295},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19110000133514404},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.17659999430179596},{"id":"https://openalex.org/C167414201","wikidata":"https://www.wikidata.org/wiki/Q1955391","display_name":"Muscle hypertrophy","level":2,"score":0.17630000412464142},{"id":"https://openalex.org/C516976414","wikidata":"https://www.wikidata.org/wiki/Q1606582","display_name":"Nasalization","level":3,"score":0.1753000020980835}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:polen.itu.edu.tr:11527/26094","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11527/26094","pdf_url":"https://polen.itu.edu.tr/bitstreams/51b6c4e8-af51-4aef-8811-c357f65654b7/download","source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":"Doctoral Thesis"}],"best_oa_location":{"id":"pmh:oai:polen.itu.edu.tr:11527/26094","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11527/26094","pdf_url":"https://polen.itu.edu.tr/bitstreams/51b6c4e8-af51-4aef-8811-c357f65654b7/download","source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":"Doctoral Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7117398173.pdf","grobid_xml":"https://content.openalex.org/works/W7117398173.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W2148143831","https://openalex.org/W2525778437","https://openalex.org/W2626778328","https://openalex.org/W2757910899","https://openalex.org/W2799054028","https://openalex.org/W2806120502","https://openalex.org/W2885185669","https://openalex.org/W2886424491","https://openalex.org/W2888195294","https://openalex.org/W2896457183","https://openalex.org/W2897105542","https://openalex.org/W2911489562","https://openalex.org/W2936255004","https://openalex.org/W2945785363","https://openalex.org/W2946676565","https://openalex.org/W2952354058","https://openalex.org/W2952370363","https://openalex.org/W2952942550","https://openalex.org/W2953084091","https://openalex.org/W2963929190","https://openalex.org/W2964121744","https://openalex.org/W2971546166","https://openalex.org/W2973009560","https://openalex.org/W2981852735","https://openalex.org/W2982399380","https://openalex.org/W2986154550","https://openalex.org/W2994980856","https://openalex.org/W2995647371","https://openalex.org/W2995971510","https://openalex.org/W2996035354","https://openalex.org/W2996580882","https://openalex.org/W3030163527","https://openalex.org/W3044423116","https://openalex.org/W3080906831","https://openalex.org/W3089809702","https://openalex.org/W3102483398","https://openalex.org/W3114950584","https://openalex.org/W3115462295","https://openalex.org/W3120253119","https://openalex.org/W3122515622","https://openalex.org/W3154147337","https://openalex.org/W3196318247","https://openalex.org/W3201295503","https://openalex.org/W3201859176","https://openalex.org/W3204516855","https://openalex.org/W4221152448","https://openalex.org/W4225839823","https://openalex.org/W4281381535","https://openalex.org/W4288055380","https://openalex.org/W4385573607","https://openalex.org/W4388979610","https://openalex.org/W4402672104"],"related_works":["https://openalex.org/W7110618595","https://openalex.org/W7139623552","https://openalex.org/W7112064906","https://openalex.org/W6987714248","https://openalex.org/W7112828054","https://openalex.org/W7139482646","https://openalex.org/W7134716861","https://openalex.org/W7150385023","https://openalex.org/W7021097120","https://openalex.org/W7110622409"],"abstract_inverted_index":{"This":[0,49,186,420,521,608],"dissertation":[1,163,308,658],"examines":[2,239,562],"the":[3,7,55,129,165,179,184,189,207,212,231,240,250,310,313,318,336,342,357,386,394,397,400,412,424,504,508,513,524,534,543,563,579,617,640,677,686,716,719,742,749,754,760],"transformative":[4],"impact":[5,107,241,349],"of":[6,35,57,79,84,94,167,206,225,233,242,252,303,315,344,359,385,393,399,415,426,449,456,507,537,546,566,595,622,642,663,702,709,718,744],"Bidirectional":[8],"Encoder":[9],"Representations":[10],"from":[11,41,120,144,170],"Transformers":[12],"(BERT)":[13],"algorithm":[14],"on":[15,24,65,249,255,350],"Natural":[16],"Language":[17],"Processing":[18],"(NLP),":[19],"with":[20,137,273,483,542,613,660,697,706],"a":[21,29,38,73,92,135,333,454],"particular":[22],"focus":[23],"its":[25,89,111,348],"application":[26,90,717],"to":[27,46,63,91,122,173,194,210,296,340,370,377,408,443,528,578,616,628,639,652,675,679,724],"Turkish,":[28,134,294],"morphologically":[30,654],"rich":[31,58,655,756],"language.":[32],"The":[33,61,82,126,162,222,237,280,307,447,475,501,548,583,620,657],"advent":[34],"BERT":[36,85,266,515],"marked":[37],"significant":[39],"shift":[40,50],"traditional":[42],"recurrent":[43],"neural":[44,175],"networks":[45],"transformer-based":[47],"models.":[48],"introduced":[51],"self-attention":[52],"mechanisms":[53],"and":[54,68,76,101,152,181,196,271,277,300,328,346,381,462,473,532,561,573,605,645,699,704,735,765],"use":[56],"unsupervised":[59],"data.":[60],"capacity":[62],"condition":[64],"both":[66],"left":[67],"right":[69],"contexts":[70],"simultaneously":[71],"enables":[72],"more":[74,145,298,382,409,763],"nuanced":[75,102,192,301,766],"comprehensive":[77,299],"understanding":[78],"linguistic":[80,771],"structures.":[81],"versatility":[83],"is":[86,108,209,396,451,611],"evident":[87],"in":[88,113,183,199,372,431,490,497,516,540,587,599,711],"range":[93],"NLP":[95,169,201,352,492,499,746,767],"tasks,":[96,493],"including":[97,317,459],"complex":[98,138],"question":[99],"answering":[100],"language":[103,136,267,581],"inference.":[104],"Its":[105],"real-world":[106],"demonstrated":[109,627],"by":[110,133,246,747,753],"implementation":[112],"Google's":[114],"search":[115,124],"engine,":[116],"which":[117,403],"has":[118,625],"shifted":[119],"keyword-centric":[121],"semantic":[123],"paradigms.":[125],"research":[127,208,395,502,589,671,739],"investigates":[128],"unique":[130,228,750],"challenges":[131,751],"presented":[132,586],"morphological":[139,223,388,413,544,571,757],"structures":[140],"that":[141,283,437,478,551,594,648],"differ":[142],"significantly":[143,740],"commonly":[146],"studied":[147],"languages.":[148,656],"Traditional":[149],"tokenization":[150,195,243,326,337,379,445],"methods":[151],"vocabulary":[153,197,214,247,275,285,322,329,361,538,553],"sizes":[154,276,286,368,554],"often":[155,558],"prove":[156],"inadequate":[157],"for":[158,191,216,291,321,364,435,470,555,632,667,689,732,762],"processing":[159,644],"Turkish":[160,168,200,217,226,256,365,498,518,643,745],"effectively.":[161],"traces":[164],"evolution":[166],"rule-based":[171],"approaches":[172,193],"advanced":[174],"models,":[176,268,598],"critically":[177],"assessing":[178],"progress":[180],"limitations":[182,425],"field.":[185],"assessment":[187],"highlights":[188,523],"need":[190],"size":[198,215,362,539,575],"tasks.":[202,258,353,520,635],"A":[203,390],"key":[204],"objective":[205],"ascertain":[211],"optimal":[213,552],"Named":[218],"Entity":[219],"Recognition":[220],"(NER).":[221],"richness":[224],"presents":[227],"challenges,":[229],"particularly":[230,434,480],"prevalence":[232],"out-of-vocabulary":[234],"(OOV)":[235],"words.":[236],"study":[238,549],"granularity,":[244],"influenced":[245],"size,":[248],"performance":[251,290,314,506,610],"BERT-based":[253,597],"models":[254,489,585],"NER":[257,289],"To":[259],"address":[260],"these":[261],"issues,":[262],"we":[263],"developed":[264],"Turkish-specific":[265,509],"each":[269],"trained":[270],"tuned":[272],"different":[274,556,707],"normalization":[278],"settings.":[279],"results":[281,476],"indicate":[282],"larger":[284],"typically":[287],"improve":[288],"languages":[292,417,436],"like":[293,418],"thanks":[295],"their":[297],"representation":[302],"words":[304,472],"as":[305,569,602],"tokens.":[306],"discusses":[309],"factors":[311],"influencing":[312],"LLM,":[316],"corpus":[319,574],"used":[320],"training,":[323],"preprocessing":[324],"operations,":[325],"methods,":[327],"size.":[330],"It":[331],"introduces":[332],"novel":[334],"metric,":[335],"granularity":[338,345,380],"rate,":[339],"quantify":[341],"level":[343],"explore":[347,693],"various":[351,491,517],"These":[354,464,636],"findings":[355,637],"underscore":[356],"significance":[358],"meticulous":[360],"selection":[363],"LLMs.":[366],"Larger":[367],"tend":[369],"result":[371],"enhanced":[373,526],"performance,":[374,592],"largely":[375],"due":[376,442],"reduced":[378],"efficacious":[383],"capture":[384,411,529],"language's":[387,755],"intricacies.":[389],"notable":[391],"contribution":[392],"introduction":[398],"BERT2D":[401,450,584],"model,":[402],"employs":[404],"two-dimensional":[405],"positional":[406,429,440,468],"embeddings":[407,430,469],"effectively":[410],"intricacies":[414],"agglutinative":[416],"Turkish.":[419,547],"innovative":[421],"model":[422,511,618],"addresses":[423],"linear,":[427],"one-dimensional":[428],"standard":[432,596],"BERT,":[433,703],"necessitate":[438],"sophisticated":[439],"encoding":[441],"high":[444],"granularity.":[446],"efficacy":[448],"validated":[452],"through":[453],"series":[455],"rigorous":[457],"experiments,":[458],"pretraining,":[460],"fine-tuning,":[461],"evaluation.":[463],"experiments":[465],"employ":[466],"dual":[467],"whole":[471],"subwords.":[474],"demonstrate":[477,590],"BERT2D,":[479],"when":[481],"combined":[482],"whole-word":[484,623],"masking,":[485],"consistently":[486],"outperforms":[487],"benchmark":[488],"establishing":[494],"new":[495],"standards":[496],"applications.":[500],"establishes":[503],"superior":[505,609],"ITU-TurkBERT":[510],"over":[512],"multilingual":[514],"downstream":[519,695],"achievement":[522],"model's":[525],"ability":[527],"language-specific":[530],"phenomena":[531],"reinforces":[533],"critical":[535],"role":[536],"dealing":[541],"complexity":[545],"finds":[550],"tasks":[557,600,696],"exceed":[559],"64K,":[560],"mixed":[564],"effectiveness":[565],"strategies":[567],"such":[568,601],"normalization,":[570],"tokenization,":[572],"reduction":[576],"compared":[577],"base":[580],"model.":[582],"this":[588,738],"consistent":[591],"exceeding":[593],"token":[603],"classification":[604,634],"text":[606,633],"classification.":[607],"achieved":[612],"minimal":[614],"additions":[615],"parameters.":[619],"incorporation":[621],"masking":[624],"been":[626],"be":[629,650,673],"especially":[630],"advantageous":[631],"contribute":[638],"advancement":[641],"offer":[646],"insights":[647],"may":[649],"applicable":[651],"other":[653,680,694],"concludes":[659],"an":[661,729],"outline":[662],"several":[664],"potential":[665],"avenues":[666],"future":[668,733],"research.":[669],"Further":[670],"should":[672],"conducted":[674],"extend":[676],"tests":[678],"named":[681,690],"entity":[682,691],"recognition":[683],"datasets,":[684],"enrich":[685],"attention":[687],"calculation":[688],"recognition,":[692],"cased":[698],"newer":[700],"versions":[701],"experiment":[705],"types":[708],"layers":[710],"BERT's":[712],"output":[713],"structure.":[714],"Furthermore,":[715],"proposed":[720],"hierarchical":[721],"recommendation":[722,726],"network":[723],"cross-domain":[725],"problems":[727],"represents":[728],"important":[730],"area":[731],"exploration":[734],"improvement.":[736],"Overall,":[737],"advances":[741],"field":[743],"addressing":[748],"posed":[752],"structure,":[758],"paving":[759],"way":[761],"effective":[764],"applications":[768],"across":[769],"diverse":[770],"landscapes.":[772]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2025-12-27T00:00:00"}
