My main research area is statistical natural language
processing. I am specifically involved in computational
semantics, Arabic computational linguistics, semantic processing and
machine learning.
I am interested in cross linguistic similarities
and divergences in language use and how these types of relations can
be exploited to solve some of the language processing
problems.
Diab, Mona, Kadri Hacioglu and Daniel Jurafsky. Automatic Tagging of Arabic Text: From raw text to Base Phrase Chunks. Proceedings of HLT-NAACL 2004.[pdf].
Diab, Mona.An Unsupervised Approach for bootstrapping
Arabic Sense Tagging. Proceedings of Arabic Script Based Languages Workshop, Coling 2004.[pdf].
Diab, Mona and Philip Resnik, An Unsupervised Method for
Word Sense Tagging using Parallel Corpora, Proceedings of ACL,
2002.[ps].
Diab, Mona.An Unsupervised Method for Word Sense Tagging using Parallel Corpora: A Preliminary Investigation. Special Interest Group in Lexical Semantics (SIGLEX) Workshop, Association for Computational Linguistics, 2000.[pdf].
Diab, Mona and Steven Finch. A Statistical Word-Level Translation Model for Comparable Corpora. Proc. of Conference on Content-based Multimedia Information Access (RIAO2000), 2000.[ps].
Resnik, Philip and Mona Diab, Measuring Verb Similarity, Cognitive Science Society (CogSci2000), 2000.[pdf].
Dorr, Bonnie, Gina Levow, Douglas Oard, Philip Resnik, Amy
Weinberg, Mona Diab, Maria Katsova. MADLIBS: An Event
Translingual Lexical Conceptual Structure Based Information Retrieval
System. North American Association for Computational Linguistics,
NAACL 2000.
Resnik, Philip, Mari B. Olsen and Mona Diab, The Bible as a Parallel Corpus: Annotating the `Book of 2000 Tongues', Computers and the Humanities, 33(1-2), 1999.
Diab, Mona, John Schuster and Peter Bock. A Preliminary
Statistical Investigation into the impact of an N-Gram Analysis Approach
based on Word Syntactic Categories toward Text Author Classification,
Proc. of 6th International Conference on Artificial Intelligence &
Applications, Egypt 1998 [ps].