My principle interests are computational linguistics and natural language processing. I am especially interested in NLP approaches that are applicable to poorly resourced languages.
Within that, one of my foci is on approaches for learning morphology, or word structure, (semi-)automatically. I am interested in applications of induced morphologies to other NLP areas like language modeling, information retrieval, and machine translation.
I have a strong interest in language technology applications, including search, linguistic input and localization solutions, and document proofing tools.
Languages that currently fascinate me include English, Turkish and the rest of the Turkic family, Finnish, Hebrew, and Latin.
My masters thesis is on knowledge-lite induction of underlying morphologies using context-sensitive rewrite rules. [ more ]