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DTSTART;TZID=Europe/Zurich:20250414T153000
DTEND;TZID=Europe/Zurich:20250414T170000
DTSTAMP:20260501T145121
CREATED:20250228T174939Z
LAST-MODIFIED:20250620T074248Z
UID:5041-1744644600-1744650000@clarin-ch.ch
SUMMARY:LiRI Corpus Platform: Data Analysis Using Text\, Audio\, and Video Corpora
DESCRIPTION:The LiRI Corpus Platform (LCP) provides an integrated environment for working with annotated linguistic data across multiple modalities. It supports not only large text corpora\, but also resources that include time-aligned annotations on audio and video streams. \nIn this session\, participants will explore how LCP enables multimodal analysis: from examining syntactic and semantic structures in text to navigating spoken interaction and gesture captured in time-based media. By utilizing the example corpora\, we will demonstrate how annotations are represented and queried across modalities. The session will also show the relationship between how data is structured and the expressions on LCP’s DQD querying language. \nPlease note that the Zoom link will be sent to participants upon registration: 📝 Register now \nSpeakers: Teodora Vuković and Jeremy Zehr \n\nDownload or watch the recording and slides of the session:\nRecording\nSlides
URL:https://clarin-ch.ch/event/lcp-data-analysis-using-text-audio-and-video-corpora/
LOCATION:Online\, Zoom
CATEGORIES:Webinar
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DTSTART;TZID=Europe/Zurich:20250428T153000
DTEND;TZID=Europe/Zurich:20250428T170000
DTSTAMP:20260501T145121
CREATED:20250228T175042Z
LAST-MODIFIED:20250620T073802Z
UID:5044-1745854200-1745859600@clarin-ch.ch
SUMMARY:Modelling of Multi-Modal Data in LiRI Corpus Platform and Beyond
DESCRIPTION:While there exist common solutions and standard practices to model text-only corpora\, multimodal conversation corpora present the unique challenge of integrating textual transcripts\, temporal information and annotations that can equally relate to speech and non-speech modalities. The LiRI Corpus Platform (LCP) was designed to accommodate both textual and multimodal corpora\, allowing for the modeling of time-aligned annotations associated with multimedia files\, making it possible for users of the platform to efficiently browse and query multimodal corpora. LCP aims to become a solution of reference for hosting multimodal corpora and we especially encourage curators of such corpora to attend this session. \nIn this session\, we will report on the process of importing a multimodal conversation corpus into LCP as part of the FAIR FI-LD project. We will give an overview of the different file formats that were involved in the modelling of the corpus and explain how we converged on using the TEI/ISO format as our interoperable standard. Participants will then engage in a practical exercise as they are guided through a simple Python script to import a simplified sample corpus into LCP. We will end the session with a general discussion about setting up workflows for the curation of multi-modal corpora and about the possibilities of automatizing the extraction and annotation of speech from videos. \nSpeakers: Johanna Miecznikowski-Fuenfschilling\, Teodora Vuković and Jeremy Zehr \nPlease note that the Zoom link will be sent to participants upon registration: 📝 Register now \n\nDownload or watch the recording and slides of the session:\nRecording\nSlides
URL:https://clarin-ch.ch/event/lcp-modelling-of-multi-modal-data/
LOCATION:Online\, Zoom
CATEGORIES:Webinar
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