Neural Models for Recognition of Basic Units of Semiographic Chants. - Ekaterina Vylomova; Andrey Philippovich; Marina Danshina; Irina Golubeva; Yuriy Philippovich (AIST, 2014)

Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions. - Jing Peng 001; Anna Feldman; Ekaterina Vylomova (EMNLP, 2014)

Depth-Gated LSTM. - Kaisheng Yao; Trevor Cohn; Katerina Vylomova; Kevin Duh; Chris Dyer (CoRR, 2015)

Phonotactic Modeling of Extremely Low Resource Languages. - Andrei Shcherbakov; Ekaterina Vylomova; Nick Thieberger (ALTA, 2016)

Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. - Ekaterina Vylomova; Laura Rimell; Trevor Cohn; Timothy Baldwin (ACL (1), 2016)

VectorWeavers at SemEval-2016 Task 10: From Incremental Meaning to Semantic Unit (phrase by phrase). - Andreas Scherbakov; Ekaterina Vylomova; Fei Liu 023; Timothy Baldwin (SemEval@NAACL-HLT, 2016)

From Incremental Meaning to Semantic Unit (phrase by phrase). - Andreas Scherbakov; Ekaterina Vylomova; Fei Liu 023; Timothy Baldwin (CoRR, 2016)

Men Are from Mars, Women Are from Venus: Evaluation and Modelling of Verbal Associations. - Ekaterina Vylomova; Andrei Shcherbakov; Yuriy Philippovich; Galina Cherkasova (AIST, 2017)

CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages. - Ryan Cotterell; Christo Kirov; John Sylak-Glassman; Géraldine Walther; Ekaterina Vylomova; Patrick Xia 002; Manaal Faruqui; Sandra Kübler; David Yarowsky; Jason Eisner; Mans Hulden (CoNLL Shared Task (1), 2017)

Context-Aware Prediction of Derivational Word-forms. - Ekaterina Vylomova; Ryan Cotterell; Timothy Baldwin; Trevor Cohn (EACL (2), 2017)

Paradigm Completion for Derivational Morphology. - Ryan Cotterell; Ekaterina Vylomova; Huda Khayrallah; Christo Kirov; David Yarowsky (EMNLP, 2017)

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. - Ekaterina Vylomova; Trevor Cohn; Xuanli He; Gholamreza Haffari (SWCN@EMNLP, 2017)

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)

Modelling Tibetan Verbal Morphology. - Qianji Di; Ekaterina Vylomova; Tim Baldwin (ALTA, 2019)

A string-to-graph constructive alignment algorithm for discrete and probabilistic language modeling. - Andrey Shcherbakov; Ekaterina Vylomova (ALTA, 2019)

Evaluation of Semantic Change of Harm-Related Concepts in Psychology. - Ekaterina Vylomova; Sean Murphy; Nicholas Haslam (LChange@ACL, 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)

Contextualization of Morphological Inflection. - Ekaterina Vylomova; Ryan Cotterell; Trevor Cohn; Timothy Baldwin; Jason Eisner (NAACL-HLT (1), 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)

Modelling Verbal Morphology in Nen. - Saliha Muradoglu; Nicholas Evans; Ekaterina Vylomova (ALTA, 2020)

Exploring Looping Effects in RNN-based Architectures. - Andrei Shcherbakov; Saliha Muradoglu; Ekaterina Vylomova (ALTA, 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)

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. - Ekaterina Vylomova; Jennifer C. White; Elizabeth Salesky; Sabrina J. Mielke; Shijie Wu; Edoardo Maria Ponti; Rowan Hall Maudslay; Ran Zmigrod; Josef Valvoda; Svetlana Toldova; Francis M. Tyers; Elena Klyachko; et al. (SIGMORPHON, 2020)

SIGTYP 2020 Shared Task: Prediction of Typological Features. - Johannes Bjerva; Elizabeth Salesky; Sabrina J. Mielke; Aditi Chaudhary; Giuseppe G. A. Celano; Edoardo Maria Ponti; Ekaterina Vylomova; Ryan Cotterell; Isabelle Augenstein (CoRR, 2020)

SIGTYP 2021 Shared Task: Robust Spoken Language Identification. - Elizabeth Salesky; Badr M. Abdullah; Sabrina J. Mielke; Elena Klyachko; Oleg Serikov; Edoardo Maria Ponti; Ritesh Kumar 002; Ryan Cotterell; Ekaterina Vylomova (CoRR, 2021)

More confident, less formal: stylistic changes in academic psychology writing from 1970 to 2016. - Melissa A. Wheeler; Ekaterina Vylomova; Melanie J. McGrath; Nick Haslam (Scientometrics, 2021)

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)

The SIGMORPHON 2022 Shared Task on Morpheme Segmentation. - Khuyagbaatar Batsuren; Gábor Bella; Aryaman Arora; Viktor Martinovic; Kyle Gorman; Zdenek Zabokrtský; Amarsanaa Ganbold; Sárka Dohnalová; Magda Sevcíková; Katerina Pelegrinová; Fausto Giunchiglia; Ryan Cotterell; et al. (CoRR, 2022)

Predicting Human Translation Difficulty Using Automatic Word Alignment. - Zheng Wei Lim; Trevor Cohn; Charles Kemp; Ekaterina Vylomova (ACL (Findings), 2023)

SIGMORPHON-UniMorph 2023 Shared Task 0: Typologically Diverse Morphological Inflection. - Omer Goldman; Khuyagbaatar Batsuren; Salam Khalifa; Aryaman Arora; Garrett Nicolai; Reut Tsarfaty; Ekaterina Vylomova (SIGMORPHON, 2023)

Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics (Dagstuhl Seminar 23191). - Timothy Baldwin; William Croft 001; Joakim Nivre; Agata Savary; Sara Stymne; Ekaterina Vylomova (Dagstuhl Reports, 2023)

Generating bilingual example sentences with large language models as lexicography assistants. - Raphaël Merx; Ekaterina Vylomova; Kemal Kurniawan (ALTA, 2024)

A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications. - Naomi Baes; Nick Haslam; Ekaterina Vylomova (ACL (1), 2024)

Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation. - Zheng Wei Lim; Ekaterina Vylomova; Trevor Cohn; Charles Kemp (ACL (Short Papers), 2024)

Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language. - Raphaël Merx; Aso Mahmudi; Katrina Langford; Leo Alberto de Araujo; Ekaterina Vylomova (CoRR, 2024)

Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge. - Khuyagbaatar Batsuren; Ekaterina Vylomova; Verna Dankers; Tsetsuukhei Delgerbaatar; Omri Uzan; Yuval Pinter; Gábor Bella (CoRR, 2024)

Can a Neural Model Guide Fieldwork? A Case Study on Morphological Inflection. - Aso Mahmudi; Borja Herce; Demian Inostroza Améstica; Andreas Scherbakov; Eduard H. Hovy; Ekaterina Vylomova (CoRR, 2024)

Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service. - Raphaël Merx; Adérito José Guterres Correia; Hanna Suominen; Ekaterina Vylomova (CoRR, 2024)

Predicting Human Translation Difficulty with Neural Machine Translation. - Zheng Wei Lim; Ekaterina Vylomova; Charles Kemp; Trevor Cohn (Trans. Assoc. Comput. Linguistics, 2024)

A Computational Approach to Identifying Cultural Keywords Across Languages. - Zheng Wei Lim; Harry Stuart; Simon De Deyne; Terry Regier; Ekaterina Vylomova; Trevor Cohn; Charles Kemp (Cogn. Sci., 2024)

LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data. - Naomi Baes; Raphaël Merx; Nick Haslam; Ekaterina Vylomova; Haim Dubossarsky (ACL (Findings), 2025)

Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection. - Aso Mahmudi; Borja Herce; Demian Inostroza Améstica; Andreas Scherbakov; Eduard H. Hovy; Ekaterina Vylomova (COLING Workshops, 2025)

A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data. - Naomi Baes; Raphaël Merx; Nick Haslam; Ekaterina Vylomova; Haim Dubossarsky (CoRR, 2025)

TULUN: Transparent and Adaptable Low-resource Machine Translation. - Raphaël Merx; Hanna Suominen; Lois Hong; Nick Thieberger; Trevor Cohn; Ekaterina Vylomova (CoRR, 2025)

A Joint Multitask Model for Morpho-Syntactic Parsing. - Demian Inostroza Améstica; Meladel Mistica; Ekaterina Vylomova; Chris Guest; Kemal Kurniawan (CoRR, 2025)