Arya D. McCarthy
Zitiert von
Zitiert von
CoNLL-SIGMORPHON 2017 shared task: Universal morphological reinflection in 52 languages
R Cotterell, C Kirov, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ...
arXiv preprint arXiv:1706.09031, 2017
The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
R Cotterell, C Kirov, J Sylak-Glassman, G Walther, E Vylomova, ...
arXiv preprint arXiv:1810.07125, 2018
UniMorph 2.0: Universal Morphology
C Kirov, R Cotterell, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ...
Proceedings of the Ninth International Conference on Language Resources and …, 2018
The SIGMORPHON 2019 shared task: Morphological analysis in context and cross-lingual transfer for inflection
AD McCarthy, E Vylomova, S Wu, C Malaviya, L Wolf-Sonkin, G Nicolai, ...
arXiv preprint arXiv:1910.11493, 2019
UniMorph 3.0: Universal Morphology
AD McCarthy, C Kirov, M Grella, A Nidhi, P Xia, K Gorman, E Vylomova, ...
Proceedings of The 12th language resources and evaluation conference, 3922-3931, 2020
The Johns Hopkins University Bible corpus: 1600+ tongues for typological exploration
AD McCarthy, R Wicks, D Lewis, A Mueller, W Wu, O Adams, G Nicolai, ...
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
Massively multilingual pronunciation modeling with WikiPron
JL Lee, LFE Ashby, ME Garza, Y Lee-Sikka, S Miller, A Wong, ...
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
The SIGMORPHON 2020 shared task on multilingual grapheme-to-phoneme conversion
K Gorman, LFE Ashby, A Goyzueta, AD McCarthy, S Wu, D You
Proceedings of the 17th SIGMORPHON Workshop on Computational Research in …, 2020
Harnessing indirect training data for end-to-end automatic speech translation: Tricks of the trade
J Pino, L Puzon, J Gu, X Ma, AD McCarthy, D Gopinath
arXiv preprint arXiv:1909.06515, 2019
Freezing subnetworks to analyze domain adaptation in neural machine translation
B Thompson, H Khayrallah, A Anastasopoulos, AD McCarthy, K Duh, ...
arXiv preprint arXiv:1809.05218, 2018
Marrying universal dependencies and universal morphology
AD McCarthy, M Silfverberg, R Cotterell, M Hulden, D Yarowsky
arXiv preprint arXiv:1810.06743, 2018
Meaning to form: Measuring systematicity as information
T Pimentel, AD McCarthy, DE Blasi, B Roark, R Cotterell
arXiv preprint arXiv:1906.05906, 2019
Weird inflects but OK: Making sense of morphological generation errors
K Gorman, AD McCarthy, R Cotterell, E Vylomova, M Silfverberg, ...
Proceedings of the 23rd Conference on Computational Natural Language …, 2019
Skinaugment: Auto-encoding speaker conversions for automatic speech translation
AD McCarthy, L Puzon, J Pino
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Unsupervised morphological paradigm completion
H Jin, L Cai, Y Peng, C Xia, AD McCarthy, K Kann
arXiv preprint arXiv:2005.00970, 2020
Predicting declension class from form and meaning
A Williams, T Pimentel, AD McCarthy, H Blix, E Chodroff, R Cotterell
arXiv preprint arXiv:2005.00626, 2020
Jump-starting item parameters for adaptive language tests
AD McCarthy, KP Yancey, GT LaFlair, J Egbert, M Liao, B Settles
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
An analysis of massively multilingual neural machine translation for low-resource languages
A Mueller, G Nicolai, AD McCarthy, D Lewis, W Wu, D Yarowsky
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
Pre-trained multilingual sequence-to-sequence models: A hope for low-resource language translation?
ESA Lee, S Thillainathan, S Nayak, S Ranathunga, DI Adelani, R Su, ...
arXiv preprint arXiv:2203.08850, 2022
UniMorph 4.0: universal morphology
K Batsuren, O Goldman, S Khalifa, N Habash, W Kieraś, G Bella, ...
arXiv preprint arXiv:2205.03608, 2022
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