Christo Kirov (CLSP – Johns Hopkins University) “Rich Morphological Modeling for Multi-lingual HLT Applications”

September 9, 2016 @ 12:00 pm – 1:15 pm
Hackerman Hall B17
3400 N Charles St
Baltimore, MD 21218
Center for Language and Speech Processing


In this talk, I will discuss a number of projects aimed at improving HLT applications across a broad range of typologically diverse languages by modeling morphological structure. These include the creation of a very large, normalized morphological paradigm database derived from Wiktionary, consensus-based morphology transfer via cross-lingual projection, and approaches to lemmatization and morphological analysis and generation based on recurrent neural network architectures. Much of this work falls under the umbrella of the UniMorph project here at CLSP, led by David Yarowsky and supported by DARPA LORELEI, and was developed in close collaboration with John Sylak-Glassman.


Dr. Christo Kirov, PhD, is a Postdoctoral Research Fellow at the Center for Language and Speech Processing at JHU, working with David Yarowsky. His current research combines novel machine learning approaches with traditional linguistics to represent and learn morphological systems across the world’s languages, and to leverage this level of language structure in Machine Translation, Information Extraction, and other HLT tasks. Prior to joining CLSP, he was a Visiting Professor at the Georgetown University Linguistics Department. He has received his PhD in Cognitive Science from Johns Hopkins University studying under Colin Wilson, with dissertation work focusing on Bayesian approaches to phonology and phonetic expression.

Center for Language and Speech Processing