In the paper, we introduce an algorithm of reduced word forms restoration for automatic speech recognition which takes into account the results of psycholinguistic experiments on spoken word recognition and includes, besides the main block, the module that retrieves the morphological information about candidates for recognition and the rules for word form processing and syntactic grouping. The source for the list of word forms and their realizations used by the algorithm is the Corpus of Transcribed Oral Russian Texts (http://narusco.ru/search/trn-search.php).
Translated title of the contributionALGORITHM OF REDUCED WORD FORMS RESTORATION IN SPONTANEOUS SPEECH
Original languageRussian
Title of host publicationТруды международной конференции «Корпусная лингвистика– 2019»
EditorsВ.П. Захаров
Place of PublicationСПб.
PublisherИздательство Санкт-Петербургского университета
Pages325-331
StatePublished - Jun 2019
EventКорпусная лингвистика - 2019: международная научная конференция - СПб., Russian Federation
Duration: 24 Jun 201928 Jun 2019
https://events.spbu.ru/events/corpora-2019

Conference

ConferenceКорпусная лингвистика - 2019: международная научная конференция
Abbreviated titlecorpora-2019
Country/TerritoryRussian Federation
CityСПб.
Period24/06/1928/06/19
Internet address

    Research areas

  • Spontaneous speech, reduced word forms, automatic speech recognition, Russian, Python programming language

ID: 49682930