Projects per year
Personal profile
External positions
Fingerprint Dive into the research topics where Rustem Takhanov is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Directed graphs
Engineering & Materials Science
Constraint satisfaction problems
Engineering & Materials Science
Predicate
Mathematics
Programming theory
Engineering & Materials Science
Algebraic Approach
Mathematics
Conditional Random Fields
Mathematics
Homomorphism
Mathematics
Polynomials
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2020
- 1 Active
Deep Learning for Sequential Models in Natural Language Processing with Applications to Kazakh
Assylbekov, Z., Takhanov, R., Kashkynbayev, A., Myrzakhmetov, B., Salimzianov, I., Baltabayeva, A., Tanekeyev, G., Bissengaliyeva, D., Tuleuov, Z., Sadvakasov, S. & Bisazza, A.
4/6/18 → 12/31/20
Project: Research project
Processing
Education
Neural networks
Deep learning
Open source software
Research Output 2007 2018
Reusing Weights in Subword-aware Neural Language Models
Assylbekov, Z. & Takhanov, R., Feb 23 2018, In : Proceedings of NAACL-HLT 2018.Research output: Contribution to journal › Article
File
Hybrid VCSPs with crisp and valued conservative templates
Takhanov, R., Dec 1 2017, 28th International Symposium on Algorithms and Computation, ISAAC 2017. Tokuyama, T. & Okamoto, Y. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Vol. 92.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Constraint satisfaction problems
Directed graphs
Polymorphism
Machinery
Patterns Versus Characters in Subword-Aware Neural Language Modeling
Takhanov, R. & Assylbekov, Z., 2017, International Conference on Neural Information Processing. p. 157-166 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
Assylbekov, Z., Takhanov, R., Myrzakhmetov, B. & Washington, J. N., Jan 1 2017, EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 1866-1872 7 p. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
Assylbekov, Z., Takhanov, R., Myrzakhmetov, B. & Washington, J. N., 2017, Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. p. 1867-1873 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution