Timur Gilmanov

Graduate Student

Educational Background

  • Ph.D., Expected December 2014, Computer Science, Indiana University
  • Ph.D., Transferred 2011, Computer Science and Mechanical Engineering, Louisiana State University
  • B.S., 2007, Applied Mathematics and Information Science, Kazan State University

Research Interests

  • Natural language processing
  • Symbolic computing
  • High performance computing
  • Parallel computation
  • Graph-based applications
  • Algorithms

Recent Research Projects

  • “Lower Bound Resource Requirements for Knowledge Management and Understanding System”

Recent Publications

  • Daniel Dakota, Timur Gilmanov, Wen Li, Christopher Kuzma, Evgeny Kim, Noor Abo Mokh, and Sandra Kübler. Do Free Word Order Languages Need More Treebank Data? Investigating Dative Alternation in German, English, and Russian. In Proceedings of the Sixth Workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL 2015), Bilbao, Spain, July 2015. [bibtex-entry]
  • Timur Gilmanov, Olga Scrivner, and Sandra Kübler. SWIFT Aligner, A Multifunctional Tool for Parallel Corpora: Visualization, Word Alignment, and (Morpho)-Syntactic Cross-Language Transfer. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), Reykjavik, Iceland, May 2014. European Language Resources Association (ELRA). [bibtex-entry]
  • Thomas Sterling, Maciej Brodowicz, and Timur Gilmanov. Towards Brain-Inspired System Architectures. In Brain-Inspired Computing, volume 8603 of Lecture Notes in Computer Science, pages 159-170. Springer International Publishing, 2014. [bibtex-entry]