Publications
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Book Chapter
2019
Computational Linguistics
Karine Megerdoomian
Persian NLP
This chapter introduces the fields of Computational Linguistics (CL)—the computational modelling of linguistic representations and theories—and Natural Language Processing (NLP)—the design and implementation of tools for automated language understanding and production—and discusses some of the existing tensions between the formal approach to linguistics and the. Discover what this means for Persian and multilingual, low‑resource NLP.
Presentation
2019
Recursion and Scaling in Complex Predicates: Light Verbs as Underspecified Regular Verbs
Karine Megerdoomian
Fractal Linguistics
The study of Persian Complex Predicates (CPs) has focused in large part on determining the syntactic and semantic contributions of the light verb and the nonverbal element to the full predicate. Discover what this means for Persian and multilingual, low‑resource NLP.
Journal Article
2017
On the Positional Distribution of an Armenian Auxiliary: Second Position Clisis, Focus and Phases
Arsalan Kahnemuyipour and Karine Megerdoomian
Armenian linguistics
This paper investigates the positional distribution of an auxiliary clitic in Eastern Armenian in informationally marked sentences. Discover what this means for Persian and multilingual, low‑resource NLP.
Presentation
2016
Coauthorship Networks in Linguistics
Karine Megerdoomian
Scientometrics
No abstract available. Learn what the authors found and why it matters.
Proceedings Article
2016
Event Classification in Foreign Language Aviation Reports
Anil Yelundur, Chris Giannella, Karine Megerdoomian and Craig Pfeifer
General AI
When adverse aviation events occur, narrative reports describing the events and their associated flights provide a valuable record for improving safety. See how the authors model structure, events, and time in real‑world texts.
Proceedings Article
2015
Modeling Community Resilience for a Post-Epidemic Society
Michel Shaun and Karine Megerdoomian
Health & AI
The 2014 Ebola outbreak in West Africa once again reminded the world of the fatal risks of exposure to deadly disease. Learn what the authors found and why it matters.
Journal Article
2015
Human Language Reveals a Universal Positivity Bias
Peter Sheridan Dodds, Eric M. Clark, Suma Desuc, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, and Christopher M. Danforth
Social media analytics
Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that(i) the words of natural human language possess a universal positivity bias, (ii) the. Learn how this advances responsible, transparent, and inclusive AI practice.
Technical Report
2014
Language ID for Short Texts: Evaluation Report
Megerdoomian, Karine, Mohammad Shahab Khan, John Henderson, Dan Loehr, Keith Miller, and Ali Obaidi
Surveys & evaluations
This document provides a report on a large-scale evaluation of Language Identification tools applied to short text (tweets) on 30 distinct language and script combinations. Read for methods, evaluations, and why the findings matter for scalable AI systems.
Unpublished Manuscript
2014
Multilayer Explorations of Zipf's Law in Linguistic Structure
Karine Megerdoomian
Persian NLP
No abstract available. Learn what the authors found and why it matters.
Technical Report
2014
State of the Research in Human Language Technology: A Study of ACL and NAACL Publications from 2007 through 2014
Karine Megerdoomian
Scientometrics
The goal of this study is to identify the state-of-the-art in Human Language Technology (HLT), pinpointing potential research directions. Read for methods, evaluations, and why the findings matter for scalable AI systems.
Technical Report
2014
Text Normalization
Karine Megerdoomian
Surveys & evaluations
Short document on normalization in NLP. Learn what the authors found and why it matters.
Presentation
2013
Information Propagation Model in a Social Network
Karine Megerdoomian
Social media analytics
No abstract available. Learn what the authors found and why it matters.