Karine Megerdoomian, PhD
Artificial Intelligence Consultant
I am a linguist and Natural Language Processing (NLP) expert with experience spearheading and leading multidisciplinary initiatives at the intersection of language, AI, and the social sciences. I have led projects driving the development and implementation of advanced NLP algorithms and models in business operations modernization, human-machine collaboration prototypes, social media analytics, sentiment and radicalization detection, knowledge discovery from unstructured text, narrative analysis and temporal reasoning, knowledge graph analytics, scientometrics, multilingual machine translation, and large-scale system evaluations. I specialize in Persian and Armenian linguistics.
As an AI Strategy Consultant, I am interested in positions that provide opportunities to lead and develop innovative and hybrid approaches to solving critical customer and social challenges.
Research Interests
My research focuses on computational approaches for less commonly investigated languages with strong specialization on Persian (Farsi, Dari, Tajiki) and Armenian, semantic approaches to AI, complex predicates and causativity, the syntax-semantics interface, and the study of the linguistic characteristics of heritage speakers.
My main passion is in bringing together formal linguistic theories and approaches within NLP applications and language pedagogy. This has allowed me to work on a number of interdisciplinary projects developing linguistically-informed computational models of natural language; the application of NLP and Artificial Intelligence to the study of complex social processes; and the discovery of knowledge through the study of semantic, temporal, and causal relations in unstructured text. More recently, my work explores the applications of technology and artificial intelligence in the legal domain and in knowledge discovery of health information.
My formal linguistic research has focused on the close association between syntactic structure and semantic interpretation across languages, the investigation of natural laws in language, and the study of the linguistic characteristics of heritage speakers. I have written several publications on complex predicates, causatives, and verb phrase structure in Persian and Armenian, and I am currently studying the role of recursion and scaling in linguistic structure.
Recent Publications
Megerdoomian, Karine (Submitted). "Linguistic Data-Driven Approach to Persian Language Pedagogy: Practical Application to Compound Verbs". In Persian Language Pedagogy: New Trends and Innovations, edited by Azita Taleghani and Pouneh Shabani-Jadidi; Routledge. PDF slides
Megerdoomian, Karine, Charles E. Horowitz and Amy B. Marsh (Submitted). "Automated Extraction of Substance Use and Co-occurring Disorders from Probation Records". In Federal Probation Journal; United States Courts. . PDF
Branting, Karl, Sarah McLeod, Bryant Park and Karine Megerdoomian (2023). "Induction of Narrative Models for Legal Case Elicitation". In Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text, International Conference on Artificial Intelligence and Law (ICAIL 2023). . PDF