The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening.
Spoken corpora are important for speech research, but are expensive to create and do not necessarily reflect (read or spontaneous) speech 'in the wild'. We report on our conversion of the preexisting and freely available Spoken Wikipedia into a speech resource. The Spoken Wikipedia project unites vo...
| Publicado en: | Language Resources & Evaluation Vol. 53; no. 2; pp. 303 - 330 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=136891169&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 136891169 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2019 vid: 53 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 136891169 10.1007/s10579-017-9410-y ppf: 303 ppct: 27 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.5MB tig: atl: The Spoken Wikipedia Corpus collection: Harvesting, alignment and an application to hyperlistening. aug: au: Baumann, Timo Köhn, Arne Hennig, Felix affil: School of Computer Science, Language Technology Institute, Carnegie Mellon University, 5000 Forbes Ave, 15213, Pittsburgh, PA, USA FB Informatik, Natural Language Systems group, Universität Hamburg, Vogt-Kölln-Straße 30, 22527, Hamburg, Germany su: Wikipedia Speech processing software Corpora Hypertext systems Annotations sug: subj: Wikipedia Speech processing software Corpora Hypertext systems Annotations keyword: Annotation Eyes-free speech access Found data Robust text–speech alignment Speech corpus Spoken hypertext ab: Spoken corpora are important for speech research, but are expensive to create and do not necessarily reflect (read or spontaneous) speech 'in the wild'. We report on our conversion of the preexisting and freely available Spoken Wikipedia into a speech resource. The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. There are initiatives to create and sustain Spoken Wikipedia versions in many languages and hence the available data grows over time. Thousands of spoken articles are available to users who prefer a spoken over the written version. We turn these semi-structured collections into structured and time-aligned corpora, keeping the exact correspondence with the original hypertext as well as all available metadata. Thus, we make the Spoken Wikipedia accessible for sustainable research. We present our open-source software pipeline that downloads, extracts, normalizes and text–speech aligns the Spoken Wikipedia. Additional language versions can be exploited by adapting configuration files or extending the software if necessary for language peculiarities. We also present and analyze the resulting corpora for German, English, and Dutch, which presently total 1005 h and grow at an estimated 87 h per year. The corpora, together with our software, are available via http://islrn.org/resources/684-927-624-257-3/. As a prototype usage of the time-aligned corpus, we describe an experiment about the preferred modalities for interacting with information-rich read-out hypertext. We find alignments to help improve user experience and factual information access by enabling targeted interaction. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2019. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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