Successful Research Year for CAMeL

2018 Lab Achievements


A successful research year for the Computational Approaches to Modeling Language Lab (CAMeL) at NYUAD

CAMeL Lab (Computational Approaches to Modeling Language) is a research lab at New York University Abu Dhabi established in September 2014. CAMeL's mission is research and education in natural language processing, computational linguistics, and data science.

Researchers and students in the Computational Approaches to Modeling Language lab (CAMeL) at New York University Abu Dhabi have so far published 20 papers in 2018 at top conferences and workshops in the field of computational linguistics and natural language processing.  The conferences include LREC 2018 (Miyazaki, Japan), NAACL 2018 (New Orleans, USA), ACL 2018 & SIGDIAL 2018 (Melbourne, Australia),  COLING 2018 (Santa Fe, USA) and EMNLP 2018 (Brussels, Belgium).  Some of the publications were in collaboration with researchers from over a dozen international institutes including Carnegie Mellon University, Columbia University, University of Bahrain, American University of Beirut, Nara Institute of Science and Technology, Al Akhawayn University and Université Paris Sorbonne.

The CAMeL Lab research areas include developing new artificial intelligence algorithms for language processing, creating resources and tools to support research in computational linguistics, as well as creating new annotation standards and guidelines with a biased focus towards the Arabic language and its dialects.

Publications by Theme

Dialectal Arabic Modeling
Morphological Modeling
Morphological Disambiguation
Syntactic Parsing
Readability Modeling
Machine Translation
Dialogue Systems
Automatic Spelling Correction
Sentiment Analysis