Karine Megerdoomian: Linguistic Data Driven Approach to Persian Pedagogy

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Parse: An Exploration of Critical Topics in Iranian Studies

Elahe Omidyar Mir-Djalali Institute of Iranian Studies

90 episodes

6 days ago

Welcome to Parse, the official podcast of the Elahe Omidyar Mir-Djalali Institute of Iranian Studies at the University of Toronto! In Persian, “Parse” means strolling or wandering around as an observer of contemporary life and modernity. In a similar spirit, our podcast Parse aims to take our listeners on an intellectual stroll in the field of Iranian Studies. Join Parse's host, Yasamin Jameh, in exploring and understanding the ideas of leading thinkers, academics, and authors in Iranian Studies.

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Karine Megerdoomian: Linguistic Data Driven Approach to Persian Pedagogy

Parse: An Exploration of Critical Topics in Iranian Studies

13 minutes 12 seconds

1 year ago

Karine Megerdoomian: Linguistic Data Driven Approach to Persian Pedagogy

The 71st episode of Parse is an excerpt a talk given by Karine Megerdoomian titled Linguistic Data Driven Approach to Persian Pedagogy: Practical Application to Compound Verbs. Megerdoomian is the Principal Artificial Intelligence Engineer at the MITRE Corporation. She is a theoretical and computational linguist specializing in less commonly taught languages, with emphasis on Persian and Armenian. Her computational experience has been mainly in morphological analysis, machine translation, information extraction, and lexical semantics.

To watch the full talk, click here: https://www.youtube.com/watch?v=qN9VSV7y7ZY&t=459s