Conll-Sigmorphon 2017 shared task: Universal morphological reinflection in 52 languages

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

Volumn , Issue , 2017, Pages 1-30

  Cotterell, Ryan ^a   Kirov, Christo ^a   Sylak Glassman, John ^a   Walther, Géraldine ^b   Vylomova, Ekaterina ^c   Xia, Patrick ^a   Faruqui, Manaal ^d   Kübler, Sandra ^e   Yarowsky, David ^a   Eisner, Jason ^a   Hulden, Mans ^f  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b UNIVERSITY OF ZURICH   (Switzerland)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d GOOGLE INC   (United States)

^e INDIANA UNIVERSITY   (United States)

^f UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA AUGMENTATION; FUTURE IMPROVEMENTS; INDUCTIVE BIAS; RESOURCE CONDITIONS; SEQUENCE MODELS; SMALL TRAINING; SYNTHETIC DATA; UNLABELED DATA;

EID: 85059889901     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/k17-2001     Document Type: Conference Paper

References (71)

1. Farrell Ackerman, James P. Blevins, and Robert Malouf. 2009. Parts and wholes: Patterns of relatedness in complex mophological systems and why they matter. In James P. Blevins and Juliette Blevins, editors, Analogy in grammar: Form and acquisition, pages 54–82. Oxford University Press, Oxford.
2. Farrell Ackerman and Robert Malouf. 2013. Morphological organization: The low conditional entropy conjecture. Language, 89:429–464.
3. Roee Aharoni and Yoav Goldberg. 2017. Morphological inflection generation with hard monotonic attention. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vancouver, Canada. Association for Computational Linguistics.
4. 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, pages 41–48, Berlin, Germany. Association for Computational Linguistics.
5. Malin Ahlberg, Markus Forsberg, and Mans Hulden. 2014. Semi-supervised learning of morphological paradigms and lexicons. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 569–578, Gothenburg, Sweden. Association for Computational Linguistics.
6. Malin Ahlberg, Markus Forsberg, and Mans Hulden. 2015. Paradigm classification in supervised learning of morphology. In Human Language Technologies: The 2015 Annual Conference of the North American Chapter of the ACL, pages 1024–1029, Denver, CO. Association for Computational Linguistics.
7. Iñaki Alegria, Izaskun Etxeberria, Mans Hulden, and Montserrat Maritxalar. 2009. Porting Basque morphological grammars to foma, an open-source tool. In International Workshop on Finite-State Methods and Natural Language Processing, pages 105–113. Springer.
8. 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 2016 Meeting of SIGMORPHON, Berlin, Germany. Association for Computational Linguistics.
9. Inbal Arnon and Michael Ramscar. 2012. Granularity and the acquisition of grammatical gender: How order-of-acquisition affects what gets learned. Cognition, 122:292–305.
10. R. Harald Baayen, Peter Hendrix, and Michael Ramscar. 2013. Sidestepping the combinatorial explosion: Towards a processing model based on discriminative learning. Language and Speech, 56(3):329–34.
11. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In Internationoal Conference on Learning Representations, volume abs/1409.0473.
12. Toms Bergmanis, Katharina Kann, Hinrich Schütze, and Sharon Goldwater. 2017. Training data augmentation for low-resource morphological inflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 31–39, Vancouver. Association for Computational Linguistics.
13. James Peter Blevins. 2013. The information-theoretic turn. Psihologija, 46(3):355–375.
14. James Peter Blevins. 2016. Word and Paradigm Morphology. Oxford University Press, Oxford.
15. Abhisek Chakrabarty and Utpal Garain. 2017. ISI at the SIGMORPHON 2017 shared task on morphological reinflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 66–70, Vancouver. Association for Computational Linguistics.
16. Abhisek Chakrabarty, Arun Onkar Pandit, and Utpal Garain. 2017. Context sensitive lemmatization using two successive bidirectional gated recurrent networks. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vancouver, Canada. Association for Computational Linguistics.
17. Grzegorz Chrupała, Georgiana Dinu, and Josef van Genabith. 2008. Learning morphology with Morfette. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008), Marrakech, Morocco.
18. Junyoung Chung, Çaglar Gülçehre, Kyunghyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. CoRR, abs/1412.3555.
19. Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, and Mans Hulden. 2016a. The SIGMORPHON 2016 shared task—morphological reinflection. In Proceedings of the 2016 Meeting of SIGMORPHON, Berlin, Germany. Association for Computational Linguistics.
20. Ryan Cotterell, Nanyun Peng, and Jason Eisner. 2014. Stochastic contextual edit distance and probabilistic FSTs. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 625–630, Baltimore, Maryland. Association for Computational Linguistics.
21. Ryan Cotterell, Nanyun Peng, and Jason Eisner. 2015. Modeling word forms using latent underlying morphs and phonology. Transactions of the Association for Computational Linguistics, 3:433–447.
22. Ryan Cotterell, Hinrich Schütze, and Jason Eisner. 2016b. Morphological smoothing and extrapolation of word embeddings. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1651–1660, Berlin, Germany. Association for Computational Linguistics.
23. Ryan Cotterell, John Sylak-Glassman, and Christo Kirov. 2017. Neural graphical models over strings for principal parts morphological paradigm completion. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 759–765, Valencia, Spain. Association for Computational Linguistics.
24. Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo, Antti Puurula, Janne Pylkkönen, Vesa Siivola, Matti Varjokallio, Ebru Arisoy, Murat Saraclar, and Andreas Stolcke. 2007. Analysis of morph-based speech recognition and the modeling of out-of-vocabulary words across languages. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 380–387. Association for Computational Linguistics.
25. Markus Dreyer and Jason Eisner. 2009. Graphical models over multiple strings. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 101–110, Singapore. Association for Computational Linguistics.
26. Markus Dreyer, Jason Smith, and Jason Eisner. 2008. Latent-variable modeling of string transductions with finite-state methods. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 1080–1089, Honolulu, Hawaii. Association for Computational Linguistics.
27. Greg Durrett and John DeNero. 2013. Supervised learning of complete morphological paradigms. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1185–1195, Atlanta, Georgia. Association for Computational Linguistics.
28. Christopher Dyer, Smaranda Muresan, and Philip Resnik. 2008. Generalizing word lattice translation. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, pages 1012–1020, Columbus, Ohio. Association for Computational Linguistics.
29. Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, and Chris Dyer. 2016. Morphological inflection generation using character sequence to sequence learning. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 634–643, San Diego, California. Association for Computational Linguistics.
30. Raphael Finkel and Gregory Stump. 2007. Principal parts and morphological typology. Morphology, 17(1):39–75.
31. Martin Haspelmath, Matthew Dryer, David Gil, and Bernard Comrie. 2005. The world atlas of language structures (WALS).
32. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural Computation, 9(8):1735–1780.
33. Sittichai Jiampojamarn, Colin Cherry, and Grzegorz Kondrak. 2008. Joint processing and discriminative training for letter-to-phoneme conversion. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, pages 905–913, Columbus, Ohio. Association for Computational Linguistics.
34. Katharina Kann, Ryan Cotterell, and Hinrich Schütze. 2017a. Neural multi-source morphological reinflection. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 514–524, Valencia, Spain. Association for Computational Linguistics.
35. Katharina Kann, Ryan Cotterell, and Hinrich Schütze. 2017b. One-shot neural cross-lingual transfer for paradigm completion. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vancouver, Canada. Association for Computational Linguistics.
36. Katharina Kann and Hinrich Schütze. 2016. Single-model encoder-decoder with explicit morphological representation for reinflection. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 555–560, Berlin, Germany. Association for Computational Linguistics.
37. Katharina Kann and Hinrich Schütze. 2017. The LMU system for the CoNLL-SIGMORPHON 2017 shared task on universal morphological reinflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 40–48, Vancouver. Association for Computational Linguistics.
38. Christo Kirov, John Sylak-Glassman, Roger Que, and David Yarowsky. 2016. Very-large scale parsing and normalization of Wiktionary morphological paradigms. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pages 3121–3126. European Language Resources Association (ELRA).
39. Mikko Kurimo, Sami Virpioja, Ville Turunen, and Krista Lagus. 2010. Morpho challenge competition 2005–2010: Evaluations and results. In Proceedings of the 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology, pages 87–95. Association for Computational Linguistics.
40. Ling Liu and Lingshuang Jack Mao. 2016. Morphological reinflection with conditional random fields and unsupervised features. In Proceedings of the 2016 Meeting of SIGMORPHON, Berlin, Germany. Association for Computational Linguistics.
41. Peter Makarov, Tatiana Ruzsics, and Simon Clematide. 2017. Align and copy: UZH at SIGMORPHON 2017 shared task for morphological reinflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 49–57, Vancouver. Association for Computational Linguistics.
42. Robert Malouf. 2016. Generating morphological paradigms with a recurrent neural network. San Diego Linguistic Papers, pages 122–129.
43. Petar Milin, Victor Kuperman, Aleksandar Kostić, and R. Harald Baayen. 2009. Words and paradigms bit by bit: An information-theoretic approach to the processing of inflection and derivation. pages 214–253. Oxford University Press, Oxford.
44. Fabio Montermini and Olivier Bonami. 2013. Stem spaces and predictibility in verbal inflection. Lingue e Linguaggio, 12:171–190.
45. Thomas Müller, Ryan Cotterell, Alexander Fraser, and Hinrich Schütze. 2015. Joint lemmatization and morphological tagging with Lemming. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2268–2274, Lisbon, Portugal. Association for Computational Linguistics.
46. Karthik Narasimhan, Damianos Karakos, Richard Schwartz, Stavros Tsakalidis, and Regina Barzilay. 2014. Morphological segmentation for keyword spotting. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 880–885, Doha, Qatar. Association for Computational Linguistics.
47. Garrett Nicolai, Colin Cherry, and Grzegorz Kondrak. 2015. Inflection generation as discriminative string transduction. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 922–931, Denver, Colorado. Association for Computational Linguistics.
48. Garrett Nicolai, Bradley Hauer, Mohammad Motallebi, Saeed Najafi, and Grzegorz Kondrak. 2017. If you can’t beat them, join them: The university of Alberta system description. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 79–84, Vancouver. Association for Computational Linguistics.
49. Robert Östling and Johannes Bjerva. 2017. SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological inflection with attentional sequence-to-sequence models. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 110–113, Vancouver. Association for Computational Linguistics.
50. Vito Pirrelli, Marcello Ferro, and Claudia Marzi. 2015. Computational complexity of abstractive morphology. pages 141–166. Oxford University Press, Oxford.
51. Fermin Moscoso del Prado Martín, Aleksandar Kostić, and R. Harald Baayen. 2004. Putting the bits together: An information-theoretical perspective on morphological processing. Cognition, 94:1–18.
52. Pushpendre Rastogi, Ryan Cotterell, and Jason Eisner. 2016. Weighting finite-state transductions with neural context. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 623–633, San Diego, California. Association for Computational Linguistics.
53. Benoît Sagot and Géraldine Walther. 2011. Non-canonical inflection: data, formalisation and complexity measures. In Systems and Frameworks in Computational Morphology, volume 100, pages 23–45, Zurich, Switzerland. Springer.
54. Geoffrey Sampson. 1985. Writing Systems: A Linguistic Introduction. Stanford University Press.
55. Sunita Sarawagi and William W. Cohen. 2004. Semi-Markov conditional random fields for information extraction. In Advances in Neural Information Processing Systems, pages 1185–1192.
56. Wolfgang Seeker and Özlem Çetinoǧlu. 2015. A graph-based lattice dependency parser for joint morphological segmentation and syntactic analysis. Transactions of the Association for Computational Linguistics, 3:359–373.
57. Hajime Senuma and Akiko Aizawa. 2017. Seq2seq for morphological reinflection: When deep learning fails. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 100–109, Vancouver. Association for Computational Linguistics.
58. Scott Seyfarth, Farrell Ackerman, and Robert Malouf. 2014. Implicative organization facilitates morphological learning. In Proceedings of the Fortieth Annual Meeting of the Berkeley Linguistics Society, pages 480–494.
59. Miikka Silfverberg, Adam Wiemerslage, Ling Liu, and Lingshuang Jack Mao. 2017. Data augmentation for morphological reinflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 90–99, Vancouver. Association for Computational Linguistics.
60. Akhilesh Sudhakar and Anil Kumar Singh. 2017. Experiments on morphological reinflection: CoNLL-2017 shared task. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 71–78, Vancouver. Association for Computational Linguistics.
61. Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014. Sequence to sequence learning with neural networks. In Advances in Neural Information Processing Systems, pages 3104–3112, Montreal, Quebec, Canada.
62. John Sylak-Glassman, Christo Kirov, Matt Post, Roger Que, and David Yarowsky. 2015a. A universal feature schema for rich morphological annotation and fine-grained cross-lingual part-of-speech tagging. In Cerstin Mahlow and Michael Piotrowski, editors, Proceedings of the 4th Workshop on Systems and Frameworks for Computational Morphology (SFCM), Communications in Computer and Information Science, pages 72–93. Springer, Berlin.
63. John Sylak-Glassman, Christo Kirov, and David Yarowsky. 2016. Remote elicitation of inflectional paradigms to seed morphological analysis in low-resource languages. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). European Language Resources Association (ELRA).
64. John Sylak-Glassman, Christo Kirov, David Yarowsky, and Roger Que. 2015b. A language-independent feature schema for inflectional morphology. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 674–680, Beijing, China. Association for Computational Linguistics.
65. Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, Marie Candito, Jennifer Foster, Yannick Versley, Ines Rehbein, and Lamia Tounsi. 2010. Statistical parsing of morphologically rich languages (SPMRL) what, how and whither. In Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages, pages 1–12. Association for Computational Linguistics.
66. Géraldine Walther, Guillaume Jacques, and Benoît Sagot. 2013. Uncovering the inner architecture of Khaling verbal morphology. Presentation at the 3rd Workshop on Sino-Tibetan Languages of Sichuan, Paris, September 2013.
67. Géraldine Walther and Benoît Sagot. 2010. Developing a large-scale lexicon for a less-resourced language: General methodology and preliminary experiments on Sorani Kurdish. In Proceedings of the SaLTMiL Workshop on Creation and Use of Basic Lexical Resources for Less-Resourced Languages (at LREC), Valetta, Malta. European Language Resources Association (ELRA).
68. Géraldine Walther, Benoît Sagot, and Karën Fort. 2010. Fast development of basic NLP tools: Towards a lexicon and a POS tagger for Kurmanji Kurdish. In Proceedings of the 29th International Conference on Lexis and Grammar, Belgrade.
69. Chunting Zhou and Graham Neubig. 2017a. Morphological inflection generation with multi-space variational encoder-decoders. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 58–65, Vancouver. Association for Computational Linguistics.
70. Chunting Zhou and Graham Neubig. 2017b. Multispace variational encoder-decoders for semi-supervised labeled sequence transduction. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vancouver, Canada. Association for Computational Linguistics.
71. Qile Zhu, Yanjun Li, and Xiaolin Li. 2017. Character sequence-to-sequence model with global attention for universal morphological reinflection. In Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection, pages 85–89, Vancouver. Association for Computational Linguistics.