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In Jan Hajič António Branco (Eds.), Proceedings of the 1st Deep Machine Translation Workshop (pp 29-38). Charles University in Prague, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics, Praha, Czech Republic.

Daiber, J., Sima'an, K. (2015) Machine Translation with Source-Predicted Target Morphology.

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Daiber, J., Stanojević, M., Aziz, W., Sima'an, K. (2016) Examining the Relationship between Preordering and Word Order Freedom in Machine Translation.

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Daiber, J., Stanojević, M., Sima'an, K. (2016) Universal Reordering via Linguistic Typology.

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Daiber, J., van der Goot, R. (2016) The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions.

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Daiber, J. (2018) Typologically robust statistical machine translation: Understanding and exploiting differences and similarities between languages in machine translation.

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Dam, Nick C.P., Honing, H., Spierings, M. (2025) What imitating an iconic robot reveals on allospecific vocal imitation in parrots and starlings.

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Dam, T.A., Hoogendoorn, M., Elbers, P.W.G., Fornasa, M., de Neree tot Babberich, M., Cina, G. (2022) Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.

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Damsma, A., Bouwer, F.L., Kemp, S.A., Grahn, J.A., Honing, H., Bazin, P.L.E.A. (2023) Exploring Individual Differences in Structural Connectivity Underlying Rhythmic Abilities.

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Damsma, A., Cannon, Jonathan, Fink, Lauren K., Doelling, Keith, Grahn, J.A., Honing, H., Kaplan, Thomas, Large, Edward W., Bouwer, F.L. (2025) Computational Modeling of Rhythmic Expectations: Perspectives, Pitfalls, and Prospects.

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Damsma, Atser, Cannon, Jonathan, Fink, Lauren K., Doelling, Keith, Grahn, J.A., Honing, H., Kaplan, Thomas, Large, Edward W., Bouwer, Fleur L. (2025) Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects.

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Dankers, V., Bilgin, A., Fernández, R. (2017) Modelling the Generation and Retrieval of Word Associations with Word Embeddings: A Case Study for a Guesser Agent in the Location Taboo Game.

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