Upcoming events
Event Information:
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Tue19Nov20191:00 pmCamelot room (Blandijnberg 2, 3rd floor)
Prof. Carme Silva Domínguez: The Evolution of Possessive Pronouns: Forms and Structures from Latin to Modern Galician and Portuguese
Show contentDiaLing presentation by Prof. Dr. Carme Silva Domínguez (University of Santiago de Compostela): "The Evolution of Possessive Pronouns: Forms and Structures from Latin to Modern Galician and Portuguese."
Abstract: This presentation offers a comparison between possessive pronouns in three varieties proceeding from LAtin: Medieval Galician-Portuguese, Modern Galician and Modern Portuguese. First of all we will explain the morphological evolution of the paradigm through the examination of the main evolutionary phenomena which allow us to contrast the ancient and modern languages. After that we will deal with the constructive changes in the possessive structures: among them, the combination with article, placement strategies and evolution beyond the noun phrase. In addition, the syntactic behavior of the possessive seems to be different in Galician and in Portuguese, although further research about non normative varieties is needed.
Past events
Event Information:
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Thu13Jun20242:00 pmLokaal 3.30 - Camelot, Blandijn, Campus Boekentoren
Giuseppe Magistro (UGent) - "Creating a corpus of web-data with Pyrlato. A demonstration"
Show contentThe 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.