{“id”:“https://openalex.org/W143425341“,”doi“:”https://doi.org/10.21437/interseech.2009-348“,”title“:”加权有限状态传感器的广义合成算法“,”display_name“:”一种加权有限状态转换器的广义合成方法“,”publication_year“:2009,”publitation_date“:”2009-09-06“,”ids“:{”openalex“:”https://openalex.org/W143425341“,”doi“:”https://doi.org/10.21437/interseech.2009-348“,”mag“:”143425341“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.21437/interseech.2009-348“,”pdf_url“:null,”source“:null,”license“:null,”license_id“:null,”version“:null,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:”proceedings article“,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:false,”oa_status“:”closed“,”oa_url“:null,”any_repository_has_fulltext“:false},”authorships“:[{”author_position“:“第一个”,“作者“:{”id“:”https://openalex.org/A5030888546“,”display_name“:”Cyril Allauzen“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I1291425158“,”display_name“:”谷歌(美国)“,”错误“:”https://ror.org/00njsd438“,”country_code“:”US“,”type“:“company”,”lineage“:[”https://openalex.org/I1291425158","https://openalex.org/I4210128969“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Cyril Allauzen“,”raw _ afiliation_strings“:[“谷歌(美国),山景城,美国”],”affiliations“:[{”raw _affiliation_string“:”谷歌(美国https://openalex.org/I1291425158“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5014137885“,”display_name“:”Michael Riley“,”orcid“:”https://orcid.org/0009-0002-9449-025X},“机构”:[{“id”:https://openalex.org/I63135867“,”display_name“:”辛辛那提大学“,”ror“:”https://ror.org/01e3m7079“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I63135867“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”迈克尔·莱利“,”raw _ afiliation_strings“:[“辛辛那提大学,美国”],”affiliations“:[{”raw_ afiliation _string“:”辛辛那蒂大学,美国“,”institution_ids“:]”https://openalex.org/I63135867“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5081836495“,”display_name“:”Johan Schalkwyk“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I1291425158“,”display_name“:”谷歌(美国)“,”错误“:”https://ror.org/00njsd438“,”country_code“:”US“,”type“:“company”,”lineage“:[”https://openalex.org/I1291425158","https://openalex.org/I4210128969“]}],”国家“:[“美国”],”is_corresponding“:false,”raw_author_name“:”Johan Schalkwyk“,”raw _ afiliation_strings“:[”Google\u2020#TAB#“],”从属关系“:[{”raw_ afiliation _string“:”Google\ u2020#TAB#“,”institution_ids“:[https://openalex.org/I1291425158“]}]}],”institution_assertions“:[],”countries_distinact_count“:1,”institutions_disticant_count”:2,”corresponding_author_ids“:[[],”corresponding_institution_ids”:[]“apc_list”:null,”apc_payed“:null”,“fwci”:4.346,”has_fulltext“:false,”cited_by_count:45,”citation_normalized_percentile“:{”value“:0.962282,”is_in_top_1_percent“:false,“is_in_top_10_percent“:true},”cited_by_percentile_year“:{”min“:94,”max“:95},“biblio”:{“volume”:null,“issue”:null,“first_page”:nul,“last_page”:null},,“is_retracted”:false,“is_paratext”:false,“primary_topic”:{“id”:“https://openalex.org/T10201“,”display_name“:”语音识别技术“,”score“:0.9975,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10201“,”display_name“:”语音识别技术“,”score“:0.9975,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T12326“,”“display_name”:“数据包分类的算法和体系结构”,“score”:0.9968,“subfield”:{“id”:“https://openalex.org/subfields/1708“,”display_name“:”硬件和体系结构“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10181“,”display_name“:”统计机器翻译与自然语言处理“,”score“:0.9946,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/finite-state“,”display_name“:”有限状态“,”score“:0.61579657},{”id“:”https://openalex.org/keywords/aoustic-modeling“,”display_name“:”声学建模“,”score“:0.53775},{”id“:”https://openalex.org/keywords/language-modeling“,”display_name“:”语言建模“,”score“:0.517302},{”id“:”https://openalex.org/keywords/pattern-matching“,”display_name“:”模式匹配“,”score“:0.516998},{”id“:”https://openalex.org/keywords/统计语言建模“,”display_name“:”统计语言建模“,”score“:0.51137},{”id“:”https://openalex.org/keywords/end-to-end-speech-recognition(https://openalex.org/关键词/端到端语音识别)“,”display_name“:”端到端语音识别“,”score“:0.507403}],”concepts“:[{”id“:”https://openalex.org/C40231798,“wikidata”:https://www.wikidata.org/wiki/Q1333743“,”display_name“:”合成(语言)“,”level“:2,”score“:0.6208423},{”id“:”https://openalex.org/C2983497884,“wikidata”:https://www.wikidata.org/wiki/Q176452“,”display_name“:”有限状态“,”level“:3,”score“:0.61579657},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.5788019},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.56074154},{”id“:”https://openalex.org/C48103436,“wikidata”:https://www.wikidata.org/wiki/Q599031“,”display_name“:”State(computer science)“,”level“:2,”score“:0.5445994},{”id“:”https://openalex.org/C56318395,“wikidata”:https://www.wikidata.org/wiki/Q215928“,”display_name“:”Transducer“,”level“:2,”score“:0.5437885},{”id“:”https://openalex.org/C167822520,“wikidata”:https://www.wikidata.org/wiki/Q176452“,”display_name“:”Finite-state machine“,”level“:2,”score“:0.47008514},{”id“:”https://openalex.org/C24890656,“wikidata”:https://www.wikidata.org/wiki/Q82811“,”display_name“:”Acoustics“,”level“:1,”score“:0.16718027},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”物理“,”等级“:0,”分数“:0.08992016},{”id“:”https://openalex.org/C138885662,“wikidata”:https://www.wikidata.org/wiki/Q5891“,”display_name“:”哲学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C41895202,“wikidata”:https://www.wikidata.org/wiki/Q8162“,”display_name“:”语言学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C98763669,“wikidata”:https://www.wikidata.org/wiki/Q176645“,”display_name“:”Markov chain“,”level“:2,”score“:0.0}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.21437/interseech.2009-348“,”pdf_url“:null,”source“:null,”license“:null:”license_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[]:”,“referenced_works_count”:8,“referrenced_works”:[”https://openalex.org/W1895481600","https://openalex.org/W1971080253","https://openalex.org/W2024491681","https://openalex.org/W205749991","https://openalex.org/W2087304615","https://openalex.org/W2154194560","https://openalex.org/W2157953146","https://openalex.org/W2161426837“],”related_works“:[”https://openalex.org/W4387024110","https://openalex.org/W2765148997","https://openalex.org/W27049869","https://openalex.org/W2500821785","https://openalex.org/W2488460843","https://openalex.org/W2169837502","https://openalex.org/W2149286198","https://openalex.org/W2069407765","https://openalex.org/W2063180292","https://openalex.org/W1566362083“],”abstract_inverted_index“:{”This“:[0,34],”paper“:[1],”describes“:[2],”a“:[3,65,81],”weighted“:[4],”finite-state“:[5],”transformer“:[6],”composition“:[7,15,78,84],”algorithm“:+8],”that“:[9,20,69],”generalizes“:[10],”the“:[11,14,37,86,94],”concept“:[12],”of“:[13,39,85],“筛选器”:[16],“and”:[17,25,29,45,53,64],“presents”:[18],“filters”:[19],“删除“:[21],”无用“:[22],”epsilon“:[23,32],”路径“:[24],”推“:[26],”向前“:[27],”标签“:[28],”权重“:[30],”沿“:[31],”路径。“:[33],”过滤“:[35],”允许“:[36],”合成“:[38],”大“:[40],”语音“:[41],”识别“:[42,87],”上下文相关“:[43],”词典“:[44],”语言“:[46],”模型“:[47],”多“:[48],”更多“:[49],”高效“:[50],”in“:[51],”时间“:[52],”空间“:[54],”than“:[55],”之前的“:[56],”可能。“:[57],”我们“:[58],”呈现“:[59],”实验“:[60],”关于“:[61],”广播“:[62],”新闻“:[63],”口语“:[66],”查询“:[67],”任务“:[68],”演示“:[70],”an\u223c5%“:[71],”to“:[72,80],”10%“:[73],”开销“:[74],”for“:[75],”动态“:[76],”运行时“:[77],“比较”:[79],“静态”:[82],“离线”:[83],“传感器。“:[88],”收件人“:[89],”我们的“:[90],”知识“:[91],”这“:[92],”是“:[93],”第一“:[95],”这样“:[96],”系统“:[97],”有“:[98],”所以“:[99],”很少“:[100],”开销。“:[101]},”cited_by_api_url“:”https://api.openalex.org/works?filter=引用:W143425341“,”“counts_by_year”:[{“年份”:2022,”“cited_by_count”:1},{“年度”:2021,”“cited_by_cunt”:1},}“年份“:2020,”“cited_by-count”“:2},”“年份”“:2019,”“cuted_by_count”(引用_by_contount):3},“年份”(year):2018,”“引用_by-cunt”(引):2},“:2015,”cited_by_count“:2},{“年份”:2014,”cited_by_count,{“年份”:2012,“引用_ by_count”:7}],“更新日期”:“2024-09-15T18:22:20.509395”,“创建时间”:“2016-06-24”}