Marrying Universal Dependencies and Universal Morphology. - Arya D. McCarthy; Miikka Silfverberg; Ryan Cotterell; Mans Hulden; David Yarowsky (UDW@EMNLP, 2018)

The CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. - Ryan Cotterell; Christo Kirov; John Sylak-Glassman; Géraldine Walther; Ekaterina Vylomova; Arya D. McCarthy; Katharina Kann; S. J. Mielke; Garrett Nicolai; Miikka Silfverberg; David Yarowsky; Jason Eisner; et al. (CoNLL Shared Task (1), 2018)

UniMorph 2.0: Universal Morphology. - Christo Kirov; Ryan Cotterell; John Sylak-Glassman; Géraldine Walther; Ekaterina Vylomova; Patrick Xia 002; Manaal Faruqui; S. J. Mielke; Arya McCarthy; Sandra Kübler; David Yarowsky; Jason Eisner; et al. (LREC, 2018)

Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. - Brian Thompson 001; Huda Khayrallah; Antonios Anastasopoulos; Arya D. McCarthy; Kevin Duh; Rebecca Marvin; Paul McNamee; Jeremy Gwinnup; Tim Anderson 001; Philipp Koehn (WMT, 2018)

Meaning to Form: Measuring Systematicity as Information. - Tiago Pimentel; Arya D. McCarthy; Damián E. Blasi; Brian Roark; Ryan Cotterell (ACL (1), 2019)

An Exact No Free Lunch Theorem for Community Detection. - Arya D. McCarthy; Tongfei Chen; Seth Ebner (COMPLEX NETWORKS (1), 2019)

Metrics Matter in Community Detection. - Arya D. McCarthy; Tongfei Chen; Rachel Rudinger; David W. Matula (COMPLEX NETWORKS (1), 2019)

Weird Inflects but OK: Making Sense of Morphological Generation Errors. - Kyle Gorman; Arya D. McCarthy; Ryan Cotterell; Ekaterina Vylomova; Miikka Silfverberg; Magdalena Markowska (CoNLL, 2019)

Modeling Color Terminology Across Thousands of Languages. - Arya D. McCarthy; Winston Wu; Aaron Mueller; Bill Watson; David Yarowsky (EMNLP/IJCNLP (1), 2019)

Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade. - Juan Pino 001; Liezl Puzon; Jiatao Gu; Xutai Ma; Arya D. McCarthy; Deepak Gopinath (IWSLT, 2019)

Leveraging Out-of-Task Data for End-to-End Automatic Speech Translation. - Juan Miguel Pino; Liezl Puzon; Jiatao Gu; Xutai Ma; Arya D. McCarthy; Deepak Gopinath (CoRR, 2019)

Improved Variational Neural Machine Translation by Promoting Mutual Information. - Arya D. McCarthy; Xian Li 003; Jiatao Gu; Ning Dong (CoRR, 2019)

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. - Arya D. McCarthy; Ekaterina Vylomova; Shijie Wu; Chaitanya Malaviya; Lawrence Wolf-Sonkin; Garrett Nicolai; Christo Kirov; Miikka Silfverberg; S. J. Mielke; Jeffrey Heinz; Ryan Cotterell; Mans Hulden (CoRR, 2019)

Unsupervised Morphological Paradigm Completion. - Huiming Jin; Liwei Cai; Yihui Peng; Chen Xia; Arya McCarthy; Katharina Kann (ACL, 2020)

Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. - Arya D. McCarthy; Xian Li 003; Jiatao Gu; Ning Dong (ACL, 2020)

Predicting Declension Class from Form and Meaning. - Adina Williams; Tiago Pimentel; Hagen Blix; Arya D. McCarthy; Eleanor Chodroff; Ryan Cotterell (ACL, 2020)

The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education. - Huda Khayrallah; Jacob Bremerman; Arya D. McCarthy; Kenton Murray; Winston Wu; Matt Post (NGT@ACL, 2020)

Neural Transduction for Multilingual Lexical Translation. - Dylan Lewis; Winston Wu; Arya D. McCarthy; David Yarowsky (COLING, 2020)

Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions. - Arya D. McCarthy; Adina Williams; Shijia Liu; David Yarowsky; Ryan Cotterell (EMNLP (1), 2020)

SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation. - Arya D. McCarthy; Liezl Puzon; Juan Miguel Pino (ICASSP, 2020)

Massively Multilingual Pronunciation Modeling with WikiPron. - Jackson L. Lee; Lucas F. E. Ashby; M. Elizabeth Garza; Yeonju Lee-Sikka; Sean Miller; Alan Wong; Arya D. McCarthy; Kyle Gorman (LREC, 2020)

UniMorph 3.0: Universal Morphology. - Arya D. McCarthy; Christo Kirov; Matteo Grella; Amrit Nidhi; Patrick Xia 002; Kyle Gorman; Ekaterina Vylomova; Sabrina J. Mielke; Garrett Nicolai; Miikka Silfverberg; Timofey Arkhangelskiy; Nataly Krizhanovsky; et al. (LREC, 2020)

The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration. - Arya D. McCarthy; Rachel Wicks; Dylan Lewis; Aaron Mueller; Winston Wu; Oliver Adams; Garrett Nicolai; Matt Post; David Yarowsky (LREC, 2020)

An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages. - Aaron Mueller; Garrett Nicolai; Arya D. McCarthy; Dylan Lewis; Winston Wu; David Yarowsky (LREC, 2020)

Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages. - Garrett Nicolai; Dylan Lewis; Arya D. McCarthy; Aaron Mueller; Winston Wu; David Yarowsky (LREC, 2020)

The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion. - Kyle Gorman; Lucas F. E. Ashby; Aaron Goyzueta; Arya McCarthy; Shijie Wu; Daniel You (SIGMORPHON, 2020)

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion. - Katharina Kann; Arya D. McCarthy; Garrett Nicolai; Mans Hulden (SIGMORPHON, 2020)

Jump-Starting Item Parameters for Adaptive Language Tests. - Arya D. McCarthy; Kevin P. Yancey; Geoffrey T. LaFlair; Jesse Egbert; Manqian Liao; Burr Settles (EMNLP (1), 2021)

AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition. - Nibhrat Lohia; Raunak Mundada; Arya D. McCarthy; Eric C. Larson (CoRR, 2021)

Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? - En-Shiun Annie Lee; Sarubi Thillainathan; Shravan Nayak; Surangika Ranathunga; David Ifeoluwa Adelani; Ruisi Su; Arya McCarthy (ACL (Findings), 2022)

Morphological Processing of Low-Resource Languages: Where We Are and What's Next. - Adam Wiemerslage; Miikka Silfverberg; Changbing Yang; Arya McCarthy; Garrett Nicolai; Eliana Colunga; Katharina Kann (ACL (Findings), 2022)

Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages. - Georgie Botev; Arya D. McCarthy; Winston Wu; David Yarowsky (COLING, 2022)

A Major Obstacle for NLP Research: Let's Talk about Time Allocation! - Katharina Kann; Shiran Dudy; Arya D. McCarthy (EMNLP, 2022)

On the Uncomputability of Partition Functions in Energy-Based Sequence Models. - Chu-Cheng Lin; Arya D. McCarthy (ICLR, 2022)

UniMorph 4.0: Universal Morphology. - Khuyagbaatar Batsuren; Omer Goldman; Salam Khalifa; Nizar Habash; Witold Kieras; Gábor Bella; Brian Leonard; Garrett Nicolai; Kyle Gorman; Yustinus Ghanggo Ate; Maria Ryskina; Sabrina J. Mielke; et al. (LREC, 2022)

Hong Kong: Longitudinal and Synchronic Characterisations of Protest News between 1998 and 2020. - Arya D. McCarthy; Giovanna Maria Dora Dore (LREC, 2022)

Improved Long-Form Spoken Language Translation with Large Language Models. - Arya D. McCarthy; Hao Zhang; Shankar Kumar; Felix Stahlberg; Axel H. Ng (CoRR, 2022)

Theory-Grounded Computational Text Analysis. - Arya D. McCarthy; Giovanna Maria Dora Dore (ACL (2), 2023)

Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models. - Abteen Ebrahimi; Arya D. McCarthy; Arturo Oncevay; John E. Ortega; Luis Chiruzzo; Gustavo Giménez Lugo; Rolando Coto-Solano; Katharina Kann (EACL, 2023)

Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models. - Arya McCarthy; Hao Zhang; Shankar Kumar; Felix Stahlberg; Ke Wu (EMNLP (Findings), 2023)

The SIGMORPHON 2022 Shared Task on Cross-lingual and Low-Resource Grapheme-to-Phoneme Conversion. - Arya D. McCarthy; Jackson L. Lee; Alexandra DeLucia; Travis Bartley; Milind Agarwal; Lucas F. E. Ashby; Luca Del Signore; Cameron Gibson; Reuben Raff; Winston Wu (SIGMORPHON, 2023)

FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning. - Joel Niklaus; Lucia Zheng; Arya D. McCarthy; Christopher Hahn; Brian M. Rosen; Peter Henderson 002; Daniel E. Ho; Garrett Honke; Percy Liang; Christopher D. Manning (CoRR, 2024)

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain. - Joel Niklaus; Lucia Zheng; Arya D. McCarthy; Christopher Hahn; Brian M. Rosen; Peter Henderson 002; Daniel E. Ho; Garrett Honke; Percy Liang; Christopher D. Manning (NAACL (Findings), 2025)