Publications
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Presentation
2002
Syntax-semantics
Parallel domains and the projection of arguments
Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.
Presentation
2002
Syntax-semantics
The Derivation/Inflection Distinction and Post-Syntactic Merge
Karine Megerdoomian and Arsalan Kahnemuyipour
No abstract available. Learn what the authors found and why it matters.
Presentation
2001
Complex predicates
Verb Formation and the Syntax-Lexicon Interface
Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.
Presentation
2001
Complex predicates
Primitive Elements of Verbal Predicates: Evidence from Persian
Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.
Presentation
2001
Complex predicates
Theories of verb formation
Karine Megerdoomian
No abstract available. Learn what the authors found and why it matters.
Journal Article
2001
Complex predicates
Event Structure and Complex Predicates in Persian
Karine Megerdoomian
This article investigates the syntactic and semantic properties of complex predicates in Persian in order to isolate the individual contributions of the verbal components. Discover what this means for Persian and multilingual, low‑resource NLP.
Technical Report
2000
Persian NLP
Persian-English machine translation: An overview of the Shiraz project
Jan W. Amtrup, Hamid Mansouri Rad, Karine Megerdoomian and Remi Zajac
This report describes the Shiraz project MT prototype for a Persian to English machine translation system using typed feature structures and unification. Discover what this means for Persian and multilingual, low‑resource NLP.
Proceedings Article
2000
Syntax-semantics
Aspect and Partitive Objects in Finnish
Karine Megerdoomian
In this paper, I have distinguished the two notions of result-orientedness and boundedness. See how the authors model structure, events, and time in real‑world texts.
Proceedings Article
2000
Persian NLP
Rapid Development of Translation Tools: Applications to Persian and Turkish
Jan Amtrup, Karine Megerdoomian and Remi Zajac
The Computing Research Laboratory(CRL) is developing a machine translation toolkit that allows rapid deployment of translation capabilities. Discover what this means for Persian and multilingual, low‑resource NLP.
Technical Report
2000
Persian NLP
A computational analysis of the Persian noun phrase
Karine Megerdoomian
The highly ambiguous structure of the Persian Noun Phrase (NP) causes immense difficulties for automatic parsing of written text. Discover what this means for Persian and multilingual, low‑resource NLP.
Proceedings Article
2000
Persian NLP
Unification-Based Persian Morphology
Karine Megerdoomian
We present a complete formalization of Persian inflectional morphology using a unification-based framework. Discover what this means for Persian and multilingual, low‑resource NLP.
Technical Report
2000
Persian NLP
Processing Persian text: Tokenization in the Shiraz project
Karine Megerdoomian and Remi Zajac
The highly ambiguous structure of the Persian Noun Phrase (NP) causes immense difficulties for automatic parsing of written text. Discover what this means for Persian and multilingual, low‑resource NLP.