| Locally scaled density based clustering E Biçici, D Yuret International conference on adaptive and natural computing algorithms, 739-748, 2007 | 75 | 2007 |
| Dynamic translation memory: Using statistical machine translation to improve translation memory fuzzy matches E Biçici, M Dymetman International Conference on Intelligent Text Processing and Computational …, 2008 | 72 | 2008 |
| Instance selection for machine translation using feature decay algorithms E Biçici, D Yuret Proceedings of the Sixth Workshop on Statistical Machine Translation, 272-283, 2011 | 71 | 2011 |
| Dynamic translation memory using statistical machine translation E Bicici, M Dymetman US Patent 8,244,519, 2012 | 66 | 2012 |
| Referential translation machines for quality estimation E Biçici Association for Computational Linguistics, 2013 | 52 | 2013 |
| Optimizing Instance Selection for Statistical Machine Translation with Feature Decay Algorithms E Bicici, D Yuret Transactions on Audio, Speech, and Language Processing 23 (2), 339-350, 2015 | 45 | 2015 |
| QuEst-Design, Implementation and Extensions of a Framework for Machine Translation Quality Estimation. K Shah, E Avramidis, E Biçici, L Specia Prague Bull. Math. Linguistics 100, 19-30, 2013 | 33 | 2013 |
| Reasoning about the functionality of tools and physical artifacts E Bicici, R St Amant North Carolina State University. Dept. of Computer Science, 2003 | 32 | 2003 |
| Feature decay algorithms for fast deployment of accurate statistical machine translation systems E Biçici Association for Computational Linguistics, 2013 | 30 | 2013 |
| The regression model of machine translation ME Biçici LAP LAMBERT Academic Publishing, 2011 | 30 | 2011 |
| Predicting sentence translation quality using extrinsic and language independent features E Biçici, D Groves, J van Genabith Machine Translation 27, 171-192, 2013 | 28 | 2013 |
| Referential translation machines for predicting translation quality E Biçici, A Way Proceedings of the ninth workshop on statistical machine translation, 313-321, 2014 | 24 | 2014 |
| Modeling morphologically rich languages using split words and unstructured dependencies D Yuret, E Biçici Proceedings of the ACL-IJCNLP 2009 conference short papers, 345-348, 2009 | 24 | 2009 |
| Clustering word pairs to answer analogy questions E Biçici, D Yuret Proceedings of the Fifteenth Turkish Symposium on Artificial Intelligence …, 2006 | 24 | 2006 |
| RegMT system for machine translation, system combination, and evaluation E Biçici, D Yuret Proceedings of the sixth workshop on statistical machine translation, 323-329, 2011 | 18 | 2011 |
| RTM-DCU: Referential translation machines for semantic similarity E Bicici, A Way | 16 | 2014 |
| ParFDA for fast deployment of accurate statistical machine translation systems, benchmarks, and statistics E Bicici, Q Liu, A Way | 15 | 2015 |
| RTM-DCU: Predicting semantic similarity with referential translation machines E Biçici Proceedings of the 9th international workshop on semantic evaluation …, 2015 | 15 | 2015 |
| Parallel FDA5 for fast deployment of accurate statistical machine translation systems E Biçici, Q Liu, A Way Association for Computational Linguistics, 2014 | 14 | 2014 |
| Domain adaptation for machine translation with instance selection E Biçici The Prague Bulletin of Mathematical Linguistics 103 (1), 5, 2015 | 12 | 2015 |
Deniz YuretProfessor of Computer Engineering, Koc University, IstanbulVerified email at ku.edu.tr
