Data augmentation for morphological reinflection

CoNLL 2017 - Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection

Volumn , Issue , 2017, Pages 90-99

  Silfverberg, Miikka ^a   Wiemerslage, Adam ^a   Liu, Ling ^a   Mao, Lingshuang Jack ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BASELINE SYSTEMS; DATA AUGMENTATION; ENCODER-DECODER; LOW-RESOURCE SETTINGS; OVERFITTING; TRAINING DATA; UNIVERSITY OF COLORADO; WEIGHTED VOTING;

EID: 85065961633     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/k17-2010     Document Type: Conference Paper

References (25)

1. Roee Aharoni, Yoav Goldberg, and Yonatan Belinkov. 2016. Improving sequence to sequence learning for morphological inflection generation: The BIU-MIT systems for the SIGMORPHON 2016 shared task for morphological reinflection. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
2. Malin Ahlberg, Markus Forsberg, and Mans Hulden. 2015. Paradigm classification in supervised learning of morphology. In HLT-NAACL.
3. Iñaki Alegria and Izaskun Etxeberria. 2016. EHU at the SIGMORPHON 2016 shared task. a simple proposal: Grapheme-to-phoneme for inflection. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
4. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. In ICLR 2015.
5. Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. 2014. Return of the devil in the details: Delving deep into convolutional nets. arXiv preprint arXiv:1405.3531 .
6. Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 .
7. Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, and Mans Hulden. 2017. The CoNLL-SIGMORPHON 2017 shared task: Universal morphological reinflection in 52 languages. In Proceedings of the CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection. Association for Computational Linguistics, Vancouver, Canada.
8. Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, and Mans Hulden. 2016. The SIGMORPHON 2016 shared task: Morphological reinflection. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
9. Marzieh Fadaee, Arianna Bisazza, and Christof Monz. 2017. Data augmentation for low-resource neural machine translation. arXiv preprint arXiv:1705.00440 .
10. Felix A. Gers and Juergen Schmidhuber. 2000. Recurrent nets that time and count. Technical report. Istituto Dalle Molle Di Studi Sull Intelligenza Artificiale .
11. Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, and Jürgen Schmidhuber. 2015. LSTM: A search space odyssey. CoRR abs/1503.04069.
12. Michiel Hermans and Benjamin Schrauwen. 2013. Training and analyzing deep recurrent neural networks. In Proceedings of the 26th International Conference on Neural Information Processing Systems. Curran Associates Inc., USA, NIPS’13, pages 190–198.
13. Katharina Kann and Hinrich Schütze. 2016. MED: The LMU system for the SIGMORPHON 2016 shared task on morphological reinflection. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
14. Lauri Karttunen and Kenneth R Beesley. 2005. Twenty-five years of finite-state morphology. Inquiries Into Words, a Festschrift for Kimmo Koskenniemi on his 60th Birthday pages 71–83.
15. David King. 2016. Evaluating sequence alignment for learning inflectional morphology. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
16. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012. ImageNet classification with deep convolutional neural networks. In Proceedings of the 25th International Conference on Neural Information Processing Systems. Curran Associates Inc., USA, NIPS’12, pages 1097–1105.
17. Ling Liu and Lingshuang Jack Mao. 2016. Morphological reinflection with conditional random fields and unsupervised features. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
18. Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. 2017. DyNet: The dynamic neural network toolkit. arXiv preprint arXiv:1701.03980 .
19. Garrett Nicolai, Bradley Hauer, Adam St Arnaud, and Grzegorz Kondrak. 2016. Morphological reinflection via discriminative string transduction. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
20. Robert Östling. 2016. Morphological reinflection with convolutional neural networks. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
21. Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016. Improving neural machine translation models with monolingual data. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers.
22. Alexey Sorokin. 2016. Using longest common sub-sequence and character models to predict word forms. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
23. Dima Taji, Ramy Eskander, Nizar Habash, and Owen Rambow. 2016. The Columbia University - New York University Abu Dhabi SIGMORPHON 2016 morphological reinflection shared task submission. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Association for Computational Linguistics, Berlin, Germany.
24. Ian H. Witten and Timothy C. Bell. 1991. The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression. Information Theory, IEEE Transactions on (4):1085–1094.
25. Xiang Zhang and Yann LeCun. 2015. Text understanding from scratch. arXiv preprint arXiv:1502.01710 .