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Maltimodal Corpora

A Multimodal Corpora course sits right at the intersection of AI, Data, and Linguistics—it’s about working with datasets that combine text, speech, images, video, and other signals to study language and meaning.

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Course Detail

A Multimodal Corpora course teaches how to work with datasets that combine multiple forms of communication—not just text, but also speech, visuals, and interaction. It’s a mix of linguistics, data handling, and AI methods..

Course Features

  • Multimodality Basics
  • Annotation & Transcription
  • Linguistic Analysis
  • Computational Methods

Lexsense

Instructor in Marketing

Chakir Mahjoubi is a language technology researcher focusing on Semantic Web, NLP, and knowledge representation through RDF, SPARQL, and ontology-based systems.

  • 20 hours on-demand video
  • Full Lifetime Access
  • Access on Mobile and TV
  • Certificate of Completion

Course Content

11 sections • 28 lecture • 19h 33m total length

Studies how meaning is expressed across different modes such as text, speech, and visual signals. It explains how these modalities interact to create richer communication.

Focuses on converting audio/video data into structured, time-aligned textual and symbolic formats. It also involves labeling linguistic and non-linguistic features for analysis..

Examines language structure and use across modalities, including discourse, prosody, and gestures. It helps uncover how meaning is constructed in real communicative contexts.

Applies algorithms and models to process and analyze multimodal data automatically. It includes feature extraction, machine learning, and combining multiple data types for prediction or interpretation.

Ontology engineering involves designing formal models of domain knowledge. It defines classes, relationships, and constraints using OWL. This enables reasoning and semantic consistency in systems. 

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