{"id":"https://openalex.org/W7167019286","doi":"https://doi.org/10.1109/icccmla66092.2025.11580664","title":"Post Editing English to Hindi Translation with Fine Tuned Qwen Models","display_name":"Post Editing English to Hindi Translation with Fine Tuned Qwen Models","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W7167019286","doi":"https://doi.org/10.1109/icccmla66092.2025.11580664"},"language":"en","primary_location":{"id":"doi:10.1109/icccmla66092.2025.11580664","doi":"https://doi.org/10.1109/icccmla66092.2025.11580664","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icccmla66092.2025.11580664","pdf_url":null,"source":{"id":"https://openalex.org/S7407088819","display_name":"IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 7th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icccmla66092.2025.11580664","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107079859","display_name":"Priyanka Suram","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263155","display_name":"SR University","ror":"https://ror.org/039t32v17","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263155"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanka Suram","raw_affiliation_strings":["SR University,School of Computer Science and Artificial Intelligence,Warangal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SR University,School of Computer Science and Artificial Intelligence,Warangal,India","institution_ids":["https://openalex.org/I4405263155"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122738345","display_name":"Pramoda Patro","orcid":"https://orcid.org/0000-0003-3942-3927","observed_orcids":["https://orcid.org/0000-0003-3942-3927"]},"institutions":[{"id":"https://openalex.org/I4405263155","display_name":"SR University","ror":"https://ror.org/039t32v17","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263155"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pramoda Patro","raw_affiliation_strings":["SR University,School of Computer Science and Artificial Intelligence,Warangal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SR University,School of Computer Science and Artificial Intelligence,Warangal,India","institution_ids":["https://openalex.org/I4405263155"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405263155"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9878000020980835,"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":0.9878000020980835,"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":0.006500000134110451,"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":0.0027000000700354576,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-post-editing","display_name":"automatic post-editing","score":0.9269999861717224},{"id":"https://openalex.org/keywords/qlora","display_name":"QLoRA","score":0.8600000143051147},{"id":"https://openalex.org/keywords/parameter-efficient-fine-tuning","display_name":"parameter-efficient fine-tuning","score":0.9580000042915344},{"id":"https://openalex.org/keywords/prompt-engineering","display_name":"prompt engineering","score":0.7559999823570251},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.9729999899864197},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.5870000123977661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614000201225281},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5845999717712402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5440000295639038},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5151000022888184},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4544999897480011},{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.26809999346733093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.24950000643730164},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.24220000207424164}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccmla66092.2025.11580664","doi":"https://doi.org/10.1109/icccmla66092.2025.11580664","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icccmla66092.2025.11580664","pdf_url":null,"source":{"id":"https://openalex.org/S7407088819","display_name":"IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 7th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icccmla66092.2025.11580664","doi":"https://doi.org/10.1109/icccmla66092.2025.11580664","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icccmla66092.2025.11580664","pdf_url":null,"source":{"id":"https://openalex.org/S7407088819","display_name":"IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 7th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2924093092","https://openalex.org/W2962857395","https://openalex.org/W3083013999","https://openalex.org/W3113819942","https://openalex.org/W3195322482","https://openalex.org/W3196539931","https://openalex.org/W4366502647","https://openalex.org/W4386307686","https://openalex.org/W4386525454","https://openalex.org/W4386963163","https://openalex.org/W4389519128","https://openalex.org/W4390616332","https://openalex.org/W4401042399","https://openalex.org/W4404032893","https://openalex.org/W4404033281","https://openalex.org/W4404781296","https://openalex.org/W4404837846","https://openalex.org/W4405399561","https://openalex.org/W4405399621","https://openalex.org/W4406024520","https://openalex.org/W4408583243","https://openalex.org/W4410013707","https://openalex.org/W4412404973","https://openalex.org/W4413536174"],"related_works":["https://openalex.org/W13028059","https://openalex.org/W7058366858","https://openalex.org/W6903748247","https://openalex.org/W7052795279","https://openalex.org/W6997153048","https://openalex.org/W6922411405","https://openalex.org/W7079614379","https://openalex.org/W6999447198","https://openalex.org/W2302872054","https://openalex.org/W7154842750"],"abstract_inverted_index":{"English-to-Hindi":[0],"machine":[1],"translation":[2,35],"(MT)":[3],"poses":[4],"significant":[5,106],"challenges":[6],"due":[7],"to":[8,33,51,59,73,125,159,163,171,183,193],"structural,":[9],"morphological,":[10],"and":[11,63,67,97,135,150,167,174],"se-mantic":[12],"complexities":[13],"between":[14],"the":[15,28,77,89,109,141,161,184],"two":[16],"languages.":[17],"This":[18],"paper":[19],"introduces":[20],"a":[21,105,191],"novel":[22],"automatic":[23],"post-editing":[24,65,198],"(APE)":[25],"framework":[26],"leveraging":[27],"Qwen-3":[29,75],"large":[30],"language":[31,165],"model":[32],"enhance":[34],"quality.":[36],"The":[37,84,101,138],"proposed":[38],"methodology":[39],"integrates":[40],"three":[41],"key":[42],"components:":[43],"(i)":[44],"data":[45],"augmentation":[46],"through":[47],"contextual":[48],"synonym":[49],"replacement":[50],"enrich":[52],"linguistic":[53,62],"diversity,":[54],"(ii)":[55],"prompt":[56],"engineering":[57],"tailored":[58],"encapsulate":[60],"complex":[61],"semantic":[64],"instructions,":[66],"(iii)":[68],"parameter-efficient":[69],"fine-tuning":[70],"using":[71],"QLoRA":[72],"adapt":[74],"for":[76],"APE":[78],"task":[79],"without":[80],"excessive":[81],"computational":[82],"overhead.":[83],"system":[85],"was":[86],"evaluated":[87],"on":[88],"multi-domain":[90],"EnIndic":[91],"dataset,":[92],"consisting":[93],"of":[94,128,143],"MT":[95],"outputs":[96],"human":[98],"post-edited":[99],"references.":[100],"experimental":[102],"results":[103,127,139],"show":[104],"improvement":[107],"in":[108,146],"performance":[110],"with":[111],"BLEU":[112,129],"61.48,":[113],"ChrF++":[114,131],"93.87,":[115],"TER":[116,133],"23.09,":[117],"WER":[118,136],"1.3857,":[119],"which":[120],"is":[121],"higher":[122],"as":[123,187],"compared":[124],"baseline":[126],"2.16,":[130],"2.49,":[132],"116.14,":[134],"0.7311.":[137],"highpoint":[140],"helpfulness":[142],"our":[144],"outline":[145],"generating":[147],"linguistically":[148],"accurate":[149],"semantically":[151],"reliable":[152],"translations.":[153],"However,":[154],"there":[155],"are":[156],"silent":[157],"limitations":[158],"generalizing":[160],"process":[162],"low-resource":[164],"pairs":[166],"defining":[168],"its":[169],"applicability":[170],"other":[172],"datasets":[173],"domains.":[175],"These":[176],"questions":[177],"will":[178,189],"proposal":[179],"future":[180],"re-search":[181],"opportunities":[182],"NLP":[185],"community,":[186],"they":[188],"provide":[190],"casual":[192],"progress":[194],"more":[195],"powerful":[196],"multilingual":[197],"systems.":[199]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-07-03T00:00:00"}