Publications
Filter:
Technical Report
2008
Persian NLP
Persian Supplement to the TIDES Standard for the Annotation of Temporal Expressions
Karine Megerdoomian
This document is a supplement to the TIDES Standard for the Annotation of Temporal Expressions, and is designed to assist system developers and annotators working with Persian (Farsi) language data. Discover what this means for Persian and multilingual, low‑resource NLP.
Presentation
2008
Complex predicates
Some Bare Nouns are More Equal Than Others
Karine Megerdoomian
In this presentation, I investigate properties of two categories of bare singular nouns in Persian and show that they display very distinct behavior in terms of degree of referentiality, interdependence with the verbal element, modification, and case-assignment possibilities. Discover what this means for Persian and multilingual, low‑resource NLP.
Presentation
2008
Armenian linguistics, Syntax-semantics
Second Position, Focus and Multiple Spell-Out: Toward an Analysis of the Armenian Auxiliary
Arsalan Kahnemuyipour and Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.
Technical Report
2008
General AI
The Structure of Persian Names
Karine Megerdoomian
This report provides a description of the structure of common Persian names from Iran, with an emphasis on automatic recognition of these personal names. Discover what this means for Persian and multilingual, low‑resource NLP.
Presentation
2008
Complex predicates
Preverbal Nominals and Telicity in Persian Complex Predicates
Karine Megerdoomian
Much research has been carried out on the relative contributions of each component of the complex predicate in Persian. Discover what this means for Persian and multilingual, low‑resource NLP.
Presentation
2008
Persian language teaching
Difficulties for Learning Persian as a Second Language
Karine Megerdoomian
In this talk, I present an overview of the various factors that raise difficulties for a speaker of English learning Persian. Discover what this means for Persian and multilingual, low‑resource NLP.
Book Chapter
2008
Syntax-semantics
Parallel Nominal and Verbal Projections
Karine Megerdoomian
This chapter examines the correlation between the noun phrase and the verb phrase by focusing on the morphological and semantic properties of Case and agreement in a number of languages including Finnish, Scots Gaelic, and Eastern Armenian. Discover what this means for Persian and multilingual, low‑resource NLP.
Proceedings Article
2008
Persian NLP
Low-density Language Bootstrapping: The Case of Tajiki Persian
Dan Parvaz and Karine Megerdoomian
Low-density languages raise difficulties for standard approaches to natural language processing that depend on large online corpora. Discover what this means for Persian and multilingual, low‑resource NLP.
Presentation
2007
Persian NLP, Complex predicates
Machine Translation of Persian Complex Predicates
Jan Amtrup and Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.
Presentation
2007
Armenian linguistics
The Auxiliary Clitic and Sentential Stress in Eastern Armenian
Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.
Presentation
2007
Heritage speakers
Testing the Linguistic Competence of Persian Heritage Speakers
Ilhan Cagri, Scott Jackson and Karine Megerdoomian
Describes the design and implementation of a large-scale experimental methodology to test the linguistic knowledge of Persian heritage language learners. Discover what this means for Persian and multilingual, low‑resource NLP.
Technical Report
2007
Heritage speakers
Persian: Overview of Linguistic Competence Test Design
Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.