{"id":"https://openalex.org/W2911313899","doi":"https://doi.org/10.1109/ialp.2018.8629143","title":"Investigating for Punctuation Prediction in Chinese Speech Transcriptions","display_name":"Investigating for Punctuation Prediction in Chinese Speech Transcriptions","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2911313899","doi":"https://doi.org/10.1109/ialp.2018.8629143","mag":"2911313899"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2018.8629143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2018.8629143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Asian Language Processing (IALP)","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/A5100352321","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0003-2802-594X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087964419","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-0811-6150"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["PKU Shenzhen Institute, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PKU Shenzhen Institute, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050439131","display_name":"Xiao Song","orcid":"https://orcid.org/0000-0003-4279-426X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Song","raw_affiliation_strings":["Shenzhen Raisound Technologies, Co., Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Raisound Technologies, Co., Ltd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3379,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70749849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"74","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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":0.9983000159263611,"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/punctuation","display_name":"Punctuation","score":0.9667744636535645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8445503115653992},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6423404216766357},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.6121717691421509},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5673097968101501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549931526184082},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5074695944786072},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43626904487609863},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18610313534736633}],"concepts":[{"id":"https://openalex.org/C540372491","wikidata":"https://www.wikidata.org/wiki/Q82622","display_name":"Punctuation","level":2,"score":0.9667744636535645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8445503115653992},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6423404216766357},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.6121717691421509},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5673097968101501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549931526184082},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5074695944786072},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43626904487609863},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18610313534736633},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp.2018.8629143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2018.8629143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7900000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W950853366","https://openalex.org/W1524333225","https://openalex.org/W1587490638","https://openalex.org/W1815076433","https://openalex.org/W2064675550","https://openalex.org/W2104734291","https://openalex.org/W2136848157","https://openalex.org/W2146502635","https://openalex.org/W2147228869","https://openalex.org/W2166116787","https://openalex.org/W2169187092","https://openalex.org/W2293634267","https://openalex.org/W2398104528","https://openalex.org/W2403334028","https://openalex.org/W2406343628","https://openalex.org/W2575282817","https://openalex.org/W3202802636","https://openalex.org/W6631362777","https://openalex.org/W6635223454","https://openalex.org/W6638545294","https://openalex.org/W6681435938","https://openalex.org/W6681922595","https://openalex.org/W6696934422","https://openalex.org/W6712411474","https://openalex.org/W6713441181","https://openalex.org/W6713490458","https://openalex.org/W6731992975","https://openalex.org/W6802354036"],"related_works":["https://openalex.org/W1964661231","https://openalex.org/W4254960163","https://openalex.org/W3110264473","https://openalex.org/W2936002343","https://openalex.org/W2370831213","https://openalex.org/W2188883480","https://openalex.org/W4315704968","https://openalex.org/W1592364192","https://openalex.org/W4285478380","https://openalex.org/W656840002"],"abstract_inverted_index":{"Many":[0],"automatic":[1],"speech":[2],"recognition":[3],"(ASR)":[4],"systems":[5],"typically":[6],"produce":[7],"text":[8],"without":[9],"punctuation.":[10,110],"However,":[11],"the":[12,33,42,48,62,87,90,103,114,123,138,143],"lack":[13],"of":[14,66,89,142],"punctuation":[15,43,80],"information":[16,101],"makes":[17,41],"it":[18,40],"less":[19],"readability":[20],"and":[21,68,95,105,127,140],"even":[22],"difficult":[23,46],"to":[24,78],"understand.":[25],"It":[26],"is":[27,51,113],"also":[28],"not":[29],"be":[30],"appropriate":[31],"for":[32,108],"subsequent":[34],"natural":[35],"language":[36,50],"processing":[37],"(NLP).":[38],"Meanwhile,":[39],"prediction":[44],"more":[45],"that":[47,116,137],"Chinese":[49,67,82,133],"quite":[52],"distinct":[53],"from":[54],"other":[55],"letters'":[56],"languages.":[57],"Thus,":[58],"we":[59,98],"concentrate":[60],"on":[61,73,86,132],"unique":[63],"pitch":[64,100],"feature":[65],"introduce":[69],"a":[70,148],"three-stage":[71,149],"based":[72,85],"long":[74],"short-term":[75],"memory":[76],"(LSTM)":[77],"predict":[79],"in":[81],"corpus.":[83],"Then,":[84],"success":[88],"combination":[91],"between":[92],"lexical":[93,104],"features":[94],"pause":[96,106,125],"time,":[97],"fuse":[99],"into":[102],"time":[107,126],"predicting":[109],"This":[111],"implementation":[112],"way":[115],"utilizes":[117],"three":[118],"multi-modal":[119],"features,":[120],"which":[121],"are":[122],"lexical,":[124],"pitch,":[128],"respectively.":[129],"Experimental":[130],"results":[131],"data":[134],"set":[135],"demonstrate":[136],"effectiveness":[139],"superiority":[141],"proposed":[144],"model":[145],"by":[146],"using":[147],"recurrent":[150],"neural":[151],"network.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}