{"id":"https://openalex.org/W4406261908","doi":"https://doi.org/10.1109/icicnis64247.2024.10823228","title":"A Logical Model for Recognizing Sentences with Punctuation using Python API","display_name":"A Logical Model for Recognizing Sentences with Punctuation using Python API","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4406261908","doi":"https://doi.org/10.1109/icicnis64247.2024.10823228"},"language":"en","primary_location":{"id":"doi:10.1109/icicnis64247.2024.10823228","doi":"https://doi.org/10.1109/icicnis64247.2024.10823228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicnis64247.2024.10823228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5110460043","display_name":"Chiguru Aparna","orcid":"https://orcid.org/0009-0004-5102-7761","observed_orcids":["https://orcid.org/0009-0004-5102-7761"]},"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":"Aparna. Chiguru","raw_affiliation_strings":["SR University,School of CS &#x0026; AI,Warangal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SR University,School of CS &#x0026; AI,Warangal,India","institution_ids":["https://openalex.org/I4405263155"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037701308","display_name":"K Rajchandar","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":"Rajchandar. K","raw_affiliation_strings":["SR University,School of CS &#x0026; AI,Warangal,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SR University,School of CS &#x0026; AI,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":0.25318729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9955999851226807,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9955999851226807,"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":0.0017999999690800905,"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/T12031","display_name":"Speech and dialogue systems","score":0.0017999999690800905,"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/speech-to-text","display_name":"speech-to-text","score":0.8410000205039978},{"id":"https://openalex.org/keywords/sentence-segmentation","display_name":"sentence segmentation","score":0.7369999885559082},{"id":"https://openalex.org/keywords/spoken-language-identification","display_name":"spoken language identification","score":0.6069999933242798},{"id":"https://openalex.org/keywords/text-summarization","display_name":"text summarization","score":0.8199999928474426},{"id":"https://openalex.org/keywords/natural-language-toolkit","display_name":"NLTK","score":0.6850000023841858},{"id":"https://openalex.org/keywords/audio-to-text-conversion","display_name":"audio-to-text conversion","score":0.7379999756813049},{"id":"https://openalex.org/keywords/python-interface","display_name":"Python interface","score":0.4440000057220459}],"concepts":[{"id":"https://openalex.org/C540372491","wikidata":"https://www.wikidata.org/wiki/Q82622","display_name":"Punctuation","level":2,"score":0.8513067960739136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335101008415222},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7669540643692017},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6577011346817017},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4376389980316162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39104390144348145}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icicnis64247.2024.10823228","doi":"https://doi.org/10.1109/icicnis64247.2024.10823228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicnis64247.2024.10823228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2513522215","https://openalex.org/W2560079626","https://openalex.org/W2603679025","https://openalex.org/W2766219058","https://openalex.org/W2891493583","https://openalex.org/W2894066966","https://openalex.org/W2970419734","https://openalex.org/W3012624518","https://openalex.org/W3045321166","https://openalex.org/W3156786336","https://openalex.org/W4220805458","https://openalex.org/W4403875903","https://openalex.org/W6686282164"],"related_works":["https://openalex.org/W2936002343","https://openalex.org/W2188883480","https://openalex.org/W1592364192","https://openalex.org/W656840002","https://openalex.org/W1605117403","https://openalex.org/W2381416480","https://openalex.org/W2380599343","https://openalex.org/W2207495067","https://openalex.org/W1906486629","https://openalex.org/W3204019825"],"abstract_inverted_index":{"In":[0],"converting":[1],"spoken":[2],"language":[3],"to":[4],"text.,":[5],"there":[6],"are":[7],"challenges":[8],"such":[9],"as":[10],"fluency":[11],"and":[12,20,38,54,59],"pronunciation":[13],"variation.":[14],"This":[15],"study":[16],"incorporated":[17],"advanced":[18],"speech-to-text":[19],"summarization":[21],"techniques":[22],"using":[23],"the":[24,48,57,60],"Python":[25],"API":[26],"Natural":[27],"Language":[28],"Toolkit":[29],"(NLTK).":[30],"The":[31],"proposed":[32,49],"model":[33,50],"refines":[34],"custom":[35],"punctuation":[36],"handling":[37],"text":[39],"conversion":[40],"from":[41],"continuous":[42],"audio.":[43],"It":[44],"was":[45],"found":[46],"that":[47],"recognized":[51],"sentences":[52],"quickly":[53],"accurately":[55],"during":[56],"experiment,":[58],"results":[61],"were":[62],"tabulated.":[63]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
