{"id":"https://openalex.org/W4391614636","doi":"https://doi.org/10.1145/3643808","title":"<b>Fast Recurrent Neural Network with Bi-LSTM for Handwritten Tamil Text Segmentation in NLP</b>","display_name":"<b>Fast Recurrent Neural Network with Bi-LSTM for Handwritten Tamil Text Segmentation in NLP</b>","publication_year":2024,"publication_date":"2024-02-07","ids":{"openalex":"https://openalex.org/W4391614636","doi":"https://doi.org/10.1145/3643808"},"language":"en","primary_location":{"id":"doi:10.1145/3643808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3643808","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5026487712","display_name":"C. Vinotheni","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vinotheni C.","raw_affiliation_strings":["Department of Computer Science and Engineering, Puducherry Technological University, Puducherry, India"],"raw_orcid":"https://orcid.org/0000-0001-7929-2752","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Puducherry Technological University, Puducherry, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008603130","display_name":"S. Lakshmana Pandian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Lakshmana Pandian","raw_affiliation_strings":["Department of Computer Science and Engineering, Puducherry Technological University, Puducherry, India"],"raw_orcid":"https://orcid.org/0000-0002-6019-7912","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Puducherry Technological University, Puducherry, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026487712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67926025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"23","issue":"5","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9991999864578247,"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":0.9950000047683716,"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/computer-science","display_name":"Computer science","score":0.7779272198677063},{"id":"https://openalex.org/keywords/tamil","display_name":"Tamil","score":0.7437785863876343},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7435422539710999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6845875978469849},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6029858589172363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5980873107910156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5475432276725769},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.525979220867157},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.4896712601184845},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.42264658212661743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38030484318733215},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34503692388534546},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13784122467041016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779272198677063},{"id":"https://openalex.org/C140688305","wikidata":"https://www.wikidata.org/wiki/Q5885","display_name":"Tamil","level":2,"score":0.7437785863876343},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7435422539710999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6845875978469849},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6029858589172363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5980873107910156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5475432276725769},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.525979220867157},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.4896712601184845},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.42264658212661743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38030484318733215},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34503692388534546},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13784122467041016},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3643808","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3643808","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1978492097","https://openalex.org/W1989725585","https://openalex.org/W1993312227","https://openalex.org/W2009871726","https://openalex.org/W2095391233","https://openalex.org/W2108751973","https://openalex.org/W2156520138","https://openalex.org/W2274880506","https://openalex.org/W2398978578","https://openalex.org/W2476111558","https://openalex.org/W2584696564","https://openalex.org/W2614136839","https://openalex.org/W2753068549","https://openalex.org/W2771472444","https://openalex.org/W2794227877","https://openalex.org/W2807321692","https://openalex.org/W2892118517","https://openalex.org/W2911855264","https://openalex.org/W2920782008","https://openalex.org/W2936558472","https://openalex.org/W2938819755","https://openalex.org/W2947758892","https://openalex.org/W2972261719","https://openalex.org/W2986093723","https://openalex.org/W2999231793","https://openalex.org/W3007840430","https://openalex.org/W3037724182","https://openalex.org/W3081503972","https://openalex.org/W3085195943","https://openalex.org/W3128639104","https://openalex.org/W3137342832","https://openalex.org/W3183684154","https://openalex.org/W4210356903","https://openalex.org/W4231138784","https://openalex.org/W4242454016","https://openalex.org/W4324128409"],"related_works":["https://openalex.org/W1504746966","https://openalex.org/W4360853490","https://openalex.org/W282935141","https://openalex.org/W2102222526","https://openalex.org/W3189436399","https://openalex.org/W2903473488","https://openalex.org/W4235233115","https://openalex.org/W2605598660","https://openalex.org/W2034426792","https://openalex.org/W3008584592"],"abstract_inverted_index":{"Tamil":[0,105,217],"text":[1,44,106,138,218],"segmentation":[2,71,146,168,178,239],"is":[3,25,121,172,182,193,204,219],"a":[4,13,85,117,131,145,163,215],"long-standing":[5],"test":[6],"in":[7,27,65,77,94,139,199,214],"language":[8,79],"comprehension":[9],"that":[10,175,186,231,244],"entails":[11],"separating":[12],"record":[14],"into":[15],"adjacent":[16],"pieces":[17],"based":[18,73],"on":[19,74],"its":[20,28],"semantic":[21],"design.":[22],"Each":[23],"segment":[24],"important":[26],"own":[29],"way.":[30],"The":[31,228],"segments":[32],"are":[33,101,111,245],"organised":[34],"according":[35],"to":[36,103,155,174,185,195,221,248],"the":[37,40,167,196,200,208,232],"purpose":[38],"of":[39,123,170,176,187,238],"content":[41,70,158,192],"examination":[42],"as":[43,162,225],"groups,":[45],"sentences,":[46],"phrases,":[47],"words,":[48],"characters":[49],"or":[50],"any":[51],"other":[52,177,189],"data":[53,128],"unit.":[54],"That":[55],"process":[56],"has":[57],"been":[58],"portioned":[59],"using":[60,113,159],"rapid":[61],"tangled":[62],"neural":[63,91,98,223],"organisation":[64,224],"this":[66,119,160],"research,":[67],"which":[68,95,203],"presents":[69],"methods":[72],"deep":[75],"learning":[76],"natural":[78],"processing":[80],"(NLP).":[81],"This":[82,210],"study":[83],"proposes":[84],"bidirectional":[86],"long":[87],"short-term":[88],"memory":[89],"(Bi-LSTM)":[90],"network":[92],"prototype":[93,120,147],"fast":[96],"recurrent":[97],"networks":[99],"(FRNNs)":[100],"used":[102],"learn":[104],"group":[107],"embedding":[108],"and":[109,129,148],"phrases":[110],"fragmented":[112,226],"text-oriented":[114],"data.":[115],"As":[116],"result,":[118],"capable":[122],"handling":[124],"variable":[125],"measured":[126],"setting":[127],"gives":[130],"vast":[132],"new":[133],"dataset":[134,161],"for":[135,207,240],"naturally":[136],"segmenting":[137],"Tamil.":[140],"In":[141],"addition,":[142],"we":[143],"develop":[144],"show":[149],"how":[150],"well":[151],"it":[152,181],"sums":[153],"up":[154],"unnoticeable":[156],"regular":[157],"base.":[164],"With":[165],"Bi-LSTM,":[166],"precision":[169],"FRNN":[171],"superior":[173],"approaches;":[179],"however,":[180],"still":[183],"inferior":[184],"certain":[188],"techniques.":[190],"Every":[191],"scaled":[194,216],"required":[197],"size":[198],"proposed":[201,233],"framework,":[202],"immediately":[205],"accessible":[206],"preparation.":[209],"means,":[211],"each":[212],"word":[213],"employed":[220],"prepare":[222],"content.":[227],"results":[229],"reveal":[230],"framework":[234],"produces":[235],"high":[236],"rates":[237],"manually":[241],"authored":[242],"material":[243],"nearly":[246],"equivalent":[247],"segmentation-based":[249],"plans.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}