Events

Upcoming events

Event Information:

  • Fri
    04
    Dec
    2020

    Melissa Farasyn: Novelties and archaisms: insights in V2 violations in the endangered French-Flemish dialects (via MS-Teams)

    3:30 pmMS-Teams

    Melissa Farasyn (UGent): "Novelties and archaisms: insights in V2 violations in the endangered French-Flemish dialects".

    Abstract: here

     

    De vergadering zal via MS-Teams plaatsvinden: link te vinden in nieuwsbrief

    Externen kunnen deelnemen door een e-mail te sturen aan dialing@ugent.be.

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Past events

Event Information:

  • Thu
    13
    Jun
    2024

    Giuseppe Magistro (UGent) - "Creating a corpus of web-data with Pyrlato. A demonstration"

    2:00 pmLokaal 3.30 - Camelot, Blandijn, Campus Boekentoren

    The use of corpora in acoustic analyses has become a standard practice in phonetic phonological research, offering high ecological validity (see e.g. Beckman, 1997; Warner, 2012; Tucker & Mukai, 2023 for a discussion on validity). However, compiling corpora and looking for specific phenomena can be time and resource-consuming. In response to this challenge, we developed a program named Pyrlato, which we aim to demonstrate. Pyrlato is a novel tool designed for creating corpora of real-world spoken data from the web. The tool extracts audio files from YouTube, cutting and extracting desired segments such as specific phonemes, syllables, or words found in YouTube videos. This enables the creation of corpora with tens of thousands of tokens within a few computational hours. Pyrlato works across Dutch, English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Turkish, Ukrainian, and Vietnamese, i.e. those languages for which YouTube provides automatic subtitles. The software searches for the desired string in the subtitles and, upon finding the match, extracts the relevant audio extract containing the string in .mp3 format (other formats are also possible).

    The demonstration will showcase Pyrlato's online version and the application of some case studies.

    • Beckman, M.E. (1997).A typology of spontaneous speech. In Y. Sagisaka, N. Campbell, & N. Higuchi (Eds.), Computing Prosody: Computational Models for Processing Spontaneous Speech (pp. 7–26). Springer. http://dx.doi.org/10.1007/978-1-4612-2258-3_2.
    • Tucker, B.V., & Mukai, Y. (2023). Spontaneous speech. Cambridge University Press. http://doi.org/10.1017/9781108943024.
    • Warner, N. (2012). Methods for studying spontaneous speech. In A. Cohn, C. Fougeron, & M. Huffman (Eds.), The Oxford Handbook of Laboratory Phonology (pp. 621–633). Oxford University Press.

     

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