| Unsupervised rhyme scheme identification in hip hop lyrics using hidden Markov models K Addanki, D Wu International conference on statistical language and speech processing, 39-50, 2013 | 40 | 2013 |
| Improving machine translation by training against an automatic semantic frame based evaluation metric C Lo, K Addanki, M Saers, D Wu Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 26 | 2013 |
| From finite-state to inversion transductions: Toward unsupervised bilingual grammar induction MS Saers, VSK Addanki, D Wu 24th International Conference on Computational Linguistics-Proceedings of …, 2012 | 21 | 2012 |
| Learning to freestyle: Hip hop challenge-response induction via transduction rule segmentation D Wu, K Addanki, M Saers, M Beloucif Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 19 | 2013 |
| LTG vs. ITG coverage of cross-lingual verb frame alternations K Addanki, C Lo, M Saers, D Wu Proceedings of the 16th Annual Conference of the European Association for …, 2012 | 17 | 2012 |
| Iterative rule segmentation under minimum description length for unsupervised transduction grammar induction M Saers, K Addanki, D Wu International Conference on Statistical Language and Speech Processing, 224-235, 2013 | 14 | 2013 |
| Learning to rap battle with bilingual recursive neural networks D Wu, K Addanki Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 11 | 2015 |
| Modeling hip hop challenge-response lyrics as machine translation D Wu, K Addanki, M Saers 14th Machine Translation Summit (MT Summit XIV), 2013 | 9 | 2013 |
| Unsupervised transduction grammar induction via minimum description length M Saers, K Addanki, D Wu Proceedings of the Second Workshop on Hybrid Approaches to Translation, 67-73, 2013 | 7 | 2013 |
| Combining top-down and bottom-up search for unsupervised induction of transduction grammars M Saers, K Addanki, D Wu Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in …, 2013 | 7 | 2013 |
| Neural Versus Symbolic Rap Battle Bots D Wu, K Addanki ICMC, 2015 | 5 | 2015 |
| Transduction Recursive Auto-Associative Memory: Learning Bilingual Compositional Distributed Vector Representations of Inversion Transduction Grammars K Addanki, D Wu Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in …, 2014 | 3 | 2014 |
| Evaluating improvised hip hop lyrics-challenges and observations K Addanki, D Wu LREC 2014 Proceedings, 4616, 2014 | 3 | 2014 |
| Freestyle: a challenge-response system for hip hop lyrics via unsupervised induction of stochastic transduction grammars. D Wu, K Addanki, M Saers INTERSPEECH, 3478-3482, 2013 | 3 | 2013 |
| An Evaluation of MT Alignment Baseline Approaches upon Cross-Lingual Plagiarism Detection K Addanki, D Wu Cross-Language! ndian Text Reuse (at FIRE 2011), 2011 | 2 | 2011 |
| Speech Translation with Grammar Driven Probabilistic Phrasal Bilexica Extraction. M Saers, D Wu, C Lo, K Addanki INTERSPEECH, 2089-2092, 2011 | 2 | 2011 |
| Evaluating improvised hip hop lyrics–challenges and observations KAD Wu LREC, 2014 | 1 | 2014 |
| Improvising hip hop lyrics via transduction grammar induction VSK Addanki | | 2015 |
| Freestyle: A Rap Battle Bot that Learns to Improvise D Wu, K Addanki | | 2015 |
| Segmenting vs. Chunking Rules: Unsupervised ITG Induction via Minimum Conditional Description Length M Saers, K Addanki, D Wu Proceedings of the International Conference Recent Advances in Natural …, 2013 | | 2013 |
Dekai WuProfessor of Computer Science and Engineering, Human Language Technology Center, Hong KongVerified email at cs.ust.hk
