---
title: "Czechia — works"
description: "Works of Czechia: 109 in our library · page 1 of 2, the most cited first."
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---
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# Works of Czechia

109 · page 1 of 2 · the most cited first · [← Czechia](https://md.research.elamur.ai/free/en/countries/czechia/)

**1** [2](https://md.research.elamur.ai/free/en/countries/czechia/works/page/2/) [next →](https://md.research.elamur.ai/free/en/countries/czechia/works/page/2/)

1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,317 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/)
2. [**Universal Dependencies v1: A Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2016 · 1,739 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)
3. [**Non-Projective Dependency Parsing using Spanning Tree Algorithms**Ryan McDonald, Fernando Pereira, Kiril Ribarov, et al.*2005 · 1,258 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2005-non-projective-dependency-parsing-spanning/)
4. [**A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches**Eneko Agirre, Enrique Alfonseca, Keith Hall, et al.*2009 · 1,117 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2009-study-similarity-relatedness-distributional-wordnet/)
5. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
6. [**Universal Dependencies**Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.*2021 · 910 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies-2/)
7. [**Findings of the 2019 Conference on Machine Translation (WMT19)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 839 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/)
8. [**Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe**Milan Straka, Jana Straková*2017 · 811 citations*](https://md.research.elamur.ai/free/en/papers/straka-2017-tokenizing-pos-tagging-lemmatizing-parsing/)
9. [**Findings of the 2018 Conference on Machine Translation (WMT18)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 747 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/)
10. [**Findings of the 2017 Conference on Machine Translation (WMT17)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 685 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/)
11. [**The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages**Jan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.*2009 · 631 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)
12. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
13. [**Universal Dependencies**Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.*2021 · 480 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)
14. [**UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing**Milan Straka, Jan Hajič, Jana Straková*2016 · 478 citations*](https://md.research.elamur.ai/free/en/papers/straka-2016-udpipe-trainable-pipeline-processing-conll/)
15. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 441 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
16. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 415 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
17. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
18. [**Text Understanding with the Attention Sum Reader Network**Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.*2016 · 379 citations*](https://md.research.elamur.ai/free/en/papers/kadlec-2016-text-understanding-attention-sum-reader/)
19. [**Training Tips for the Transformer Model**Martin Popel, Ondřej Bojar*2018 · 369 citations*](https://md.research.elamur.ai/free/en/papers/popel-2018-training-tips-transformer-model/)
20. [**Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2020 · 326 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2-evergrowing-multilingual/)
21. [**CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Jan Hajič, Martin Popel, et al.*2018 · 316 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2018-conll-2018-shared-task-multilingual/)
22. [**A Lexicographer-Friendly Association Score**Pavel Rychlý*2008 · 312 citations*](https://md.research.elamur.ai/free/en/papers/rychly-2008-logdice/)
23. [**UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task**Milan Straka*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)
24. [**Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges**Qingsong Ma, Johnny Wei, Ondřej Bojar, et al.*2019 · 283 citations*](https://md.research.elamur.ai/free/en/papers/ma-2019-results-wmt19-metrics-shared-task/)
25. [**Cross-Language Parser Adaptation between Related Languages**Daniel Zeman, Philip Resnik*2008 · 282 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2008-cross-language-parser-adaptation-between/)
26. [**A Statistical Parser for Czech**Michael Collins, Jan Hajic, Lance Ramshaw, et al.*1999 · 280 citations*](https://md.research.elamur.ai/free/en/papers/collins-1999-statistical-parser-czech/)
27. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
28. [**Sarcasm Detection on Czech and English Twitter**Tomáš Ptáček, Ivan Habernal, Jun Hong*2014 · 230 citations*](https://md.research.elamur.ai/free/en/papers/ptacek-2014-sarcasm-detection-czech-english-twitter/)
29. [**End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification**Jindřich Libovický, Jindřich Helcl*2018 · 200 citations*](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/)
30. [**Results of the WMT20 Metrics Shared Task**Nitika Mathur, Johnny Wei, Markus Freitag, et al.*2020 · 195 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-results-wmt20-metrics-shared-task/)
31. [**Reusable Tagset Conversion Using Tagset Drivers**Daniel Zeman*2008 · 181 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2008-reusable-tagset-conversion-tagset-drivers/)
32. [**Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/)
33. [**Results of the WMT16 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran, et al.*2016 · 175 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-results-wmt16-metrics-shared-task/)
34. [**Results of the WMT14 Metrics Shared Task**Matouš Macháček, Ondřej Bojar*2014 · 174 citations*](https://md.research.elamur.ai/free/en/papers/machacek-2014-results-wmt14-metrics-shared-task/)
35. [**Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs**Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/balloccu-2024-leak-cheat-repeat-data-contamination/)
36. [**Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/)
37. [**Semantic Noise Matters for Neural Natural Language Generation**Ondřej Dušek, David M. Howcroft, Verena Rieser*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/dusek-2019-semantic-noise-matters-neural-natural/)
38. [**Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance**Qingsong Ma, Ondřej Bojar, Yvette Graham*2018 · 164 citations*](https://md.research.elamur.ai/free/en/papers/ma-2018-results-wmt18-metrics-shared-task/)
39. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
40. [**Trivial Transfer Learning for Low-Resource Neural Machine Translation**Tom Kocmi, Ondřej Bojar*2018 · 139 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/)
41. [**Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech**Nianwen Xue, Ondřej Bojar, Jan Hajič, et al.*2014 · 106 citations*](https://md.research.elamur.ai/free/en/papers/xue-2014-not-interlingua-but-close-comparison/)
42. [**Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/)
43. [**The SIGMORPHON 2022 Shared Task on Morpheme Segmentation**Khuyagbaatar Batsuren, Gabor Bella, Aryaman Arora*2022 · 71 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-morpheme-segmentation/)
44. [**Findings of the WMT 2017 Biomedical Translation Shared Task**Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/yepes-2017-findings-wmt-2017-biomedical-translation/)
45. [**Multi-task dialog act and sentiment recognition on Mastodon**Christophe Cerisara, Somayeh Jafaritazehjani, Adedayo Oluokun, et al.*2018 · 66 citations*](https://md.research.elamur.ai/free/en/papers/cerisara-2018-multi-task-dialog-act-sentiment/)
46. [**Coordination Structures in Dependency Treebanks**Martin Popel, David Mareček, Jan Štěpánek, et al.*2013 · 65 citations*](https://md.research.elamur.ai/free/en/papers/popel-2013-coordination-structures-dependency-treebanks/)
47. [**A Fine-Grained Analysis of BERTScore**Michael Hanna, Ondřej Bojar*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/hanna-2021-fine-grained-analysis-bertscore/)
48. [**Udapi: Universal API for Universal Dependencies**Martin Popel, Zdeněk Žabokrtský, Martin Vojtek*2017 · 61 citations*](https://md.research.elamur.ai/free/en/papers/popel-2017-udapi-universal-api-universal-dependencies/)
49. [**CUNI Transformer Neural MT System for WMT18**Martin Popel*2018 · 61 citations*](https://md.research.elamur.ai/free/en/papers/popel-2018-cuni-transformer-neural-mt-system/)
50. [**ElixirFM – Implementation of Functional Arabic Morphology**Otakar Smrž*2007 · 61 citations*](https://md.research.elamur.ai/free/en/papers/smrz-2007-elixirfm-implementation-functional-arabic-morphology/)
51. [**HUME: Human UCCA-Based Evaluation of Machine Translation**Alexandra Birch, Omri Abend, Ondřej Bojar, et al.*2016 · 58 citations*](https://md.research.elamur.ai/free/en/papers/birch-2016-hume-human-ucca-based-evaluation/)
52. [**Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies**Gosse Bouma, Djamé Seddah, Daniel Zeman*2020 · 52 citations*](https://md.research.elamur.ai/free/en/papers/bouma-2020-overview-iwpt-2020-shared-task/)
53. [**Introducing the Prague Discourse Treebank 1.0**Lucie Poláková, Jiří Mírovský, Anna Nedoluzhko, et al.*2013 · 52 citations*](https://md.research.elamur.ai/free/en/papers/polakova-2013-introducing-prague-discourse-treebank-1/)
54. [**The Centre and Periphery of Discourse Connectives**Magdaléna Rysová, Kateřina Rysová*2014 · 52 citations*](https://md.research.elamur.ai/free/en/papers/rysova-2014-centre-periphery-discourse-connectives/)
55. [**Universal Dependencies for Arabic**Dima Taji, Nizar Habash, Daniel Zeman*2017 · 52 citations*](https://md.research.elamur.ai/free/en/papers/taji-2017-universal-dependencies-arabic/)
56. [**CorefUD 1.0: Coreference Meets Universal Dependencies**Anna Nedoluzhko, Michal Novák, Martin Popel, et al.*2022 · 48 citations*](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2022-corefud-1-0-coreference-meets/)
57. [**Coreference in Prague Czech-English Dependency Treebank**Anna Nedoluzhko, Michal Novák, Silvie Cinková, et al.*2016 · 46 citations*](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2016-coreference-prague-czech-english-dependency/)
58. [**Phrase-Based and Deep Syntactic English-to-Czech Statistical Machine Translation**Ondřej Bojar, Jan Hajič*2008 · 37 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2008-phrase-based-deep-syntactic-english/)
59. [**Multilingual Coreference Resolution with Harmonized Annotations**Ondřej Pražák, Miloslav Konopík, Jakub Sido*2021 · 32 citations*](https://md.research.elamur.ai/free/en/papers/prazak-2021-multilingual-coreference-resolution-harmonized-annotations/)
60. [**Cross-lingual Coreference Resolution of Pronouns**Michal Novák, Zdeněk Žabokrtský*2014 · 31 citations*](https://md.research.elamur.ai/free/en/papers/novak-2014-cross-lingual-coreference-resolution-pronouns/)
61. [**From Raw Text to Enhanced Universal Dependencies: The Parsing Shared Task at IWPT 2021**Gosse Bouma, Djamé Seddah, Daniel Zeman*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/bouma-2021-raw-text-enhanced-universal-dependencies/)
62. [**Hidden Markov Tree Model in Dependency-based Machine Translation**Zdeněk Žabokrtský, Martin Popel*2009 · 30 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2009-hidden-markov-tree-model-dependency/)
63. [**Primary and secondary discourse connectives: definitions and lexicons**Laurence Danlos, Katerina Rysova, Magdalena Rysova, et al.*2018 · 29 citations*](https://md.research.elamur.ai/free/en/papers/danlos-2018-primary-secondary-discourse-connectives-definitions/)
64. [**Translation of "It" in a Deep Syntax Framework**Michal Novák, Anna Nedoluzhko, Zdeněk Žabokrtský*2013 · 29 citations*](https://md.research.elamur.ai/free/en/papers/novak-2013-translation-it-deep-syntax-framework/)
65. [**Formemes in English-Czech Deep Syntactic MT**Ondřej Dušek, Zdeněk Žabokrtský, Martin Popel, et al.*2012 · 28 citations*](https://md.research.elamur.ai/free/en/papers/dusek-2012-formemes-english-czech-deep-syntactic/)
66. [**Findings of the Second Shared Task on Multilingual Coreference Resolution**Zdeněk Žabokrtský, Miloslav Konopik, Anna Nedoluzhko, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2023-findings-second-shared-task-multilingual/)
67. [**Arabic Syntactic Trees: from Constituency to Dependency**Zdenek Zabokrtsky, Otakar Smrz*2003 · 26 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2003-arabic-syntactic-trees-constituency-dependency/)
68. [**Machine Translation with Many Manually Labeled Discourse Connectives**Thomas Meyer, Lucie Poláková*2013 · 24 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2013-machine-translation-many-manually-labeled/)
69. [**An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)**Laurie Burchell, Ona de Gibert, Nikolay Arefyev, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/burchell-2025-expanded-massive-multilingual-dataset-high/)
70. [**Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish**Michael Elhadad, Sabino Miranda-Jiménez, Josef Steinberger, et al.*2013 · 20 citations*](https://md.research.elamur.ai/free/en/papers/elhadad-2013-multi-document-multilingual-summarization-corpus/)
71. [**Crowdsourced Corpus with Entity Salience Annotations**Milan Dojchinovski, Dinesh Reddy, Tomáš Kliegr, et al.*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/dojchinovski-2016-crowdsourced-corpus-entity-salience-annotations/)
72. [**MWEs in Treebanks: From Survey to Guidelines**Victoria Rosén, Koenraad De Smedt, Gyri Smørdal Losnegaard, et al.*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/rosen-2016-mwes-treebanks-survey-guidelines/)
73. [**Alternative Lexicalizations of Discourse Connectives in Czech**Magdaléna Rysová*2012 · 18 citations*](https://md.research.elamur.ai/free/en/papers/rysova-2012-alternative-lexicalizations-discourse-connectives-czech/)
74. [**Automatic MT Error Analysis: Hjerson Helping Addicter**Jan Berka, Ondřej Bojar, Mark Fishel, et al.*2012 · 17 citations*](https://md.research.elamur.ai/free/en/papers/berka-2012-automatic-mt-error-analysis-hjerson/)
75. [**ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution**Milan Straka*2023 · 17 citations*](https://md.research.elamur.ai/free/en/papers/straka-2023-fal-corpipe-crac-2023-larger/)
76. [**Comparison of Classification and Ranking Approaches to Pronominal Anaphora Resolution in Czech**Giang Linh Ngụy, Václav Novák, Zdeněk Žabokrtský*2009 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ngy-2009-comparison-classification-ranking-approaches-pronominal/)
77. [**Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions**Kira Droganova, Filip Ginter, Jenna Kanerva, et al.*2018 · 15 citations*](https://md.research.elamur.ai/free/en/papers/droganova-2018-mind-gap-data-enrichment-dependency/)
78. [**End-to-end Multilingual Coreference Resolution with Mention Head Prediction**Ondřej Pražák, Miloslav Konopik*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/prazak-2022-end-end-multilingual-coreference-resolution/)
79. [**Projection-based Coreference Resolution Using Deep Syntax**Michal Novák, Anna Nedoluzhko, Zdeněk Žabokrtský*2017 · 14 citations*](https://md.research.elamur.ai/free/en/papers/novak-2017-projection-based-coreference-resolution-deep/)
80. [**Semi-Automatic Annotation of Intra-Sentential Discourse Relations in PDT**Pavlína Jínová, Jiří Mírovský, Lucie Poláková*2012 · 13 citations*](https://md.research.elamur.ai/free/en/papers/jinova-2012-semi-automatic-annotation-intra-sentential/)
81. [**ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution**Milan Straka, Jana Straková*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/straka-2022-fal-corpipe-crac-2022-effectivity/)
82. [**Abstract Coreference in a Multilingual Perspective: a View on Czech and German**Anna Nedoluzhko, Ekaterina Lapshinova-Koltunski*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2016-abstract-coreference-multilingual-perspective-view/)
83. [**Building the Valency Lexicon of Arabic Verbs**Viktor Bielický, Otakar Smrž*2008 · 10 citations*](https://md.research.elamur.ai/free/en/papers/bielicky-2008-building-valency-lexicon-arabic-verbs/)
84. [**Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?**Michal Novák, Miloslav Konopik, Anna Nedoluzhko, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/novak-2025-findings-fourth-shared-task-multilingual/)
85. [**Bridging Corpus for Russian in comparison with Czech**Anna Roitberg, Anna Nedoluzhko*2016 · 10 citations*](https://md.research.elamur.ai/free/en/papers/roitberg-2016-bridging-corpus-russian-comparison-czech/)
86. [**Estimating POS Annotation Consistency of Different Treebanks in a Language**Akshay Aggarwal, Daniel Zeman*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/)
87. [**Towards Universal Segmentations: UniSegments 1.0**Zdeněk Žabokrtský, Niyati Bafna, Jan Bodnár, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2022-universal-segmentations-unisegments-1-0/)
88. [**Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation**Federica Gamba, Alexis Palmer, Daniel Zeman*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/gamba-2025-bootstrapping-umrs-universal-dependencies-scalable/)
89. [**Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities**Michal Novák, Miloslav Konopík, Anna Nedoluzhko, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/novak-2026-findings-fifth-shared-task-multilingual/)
90. [**Analysis of Corpus-based Word-Order Typological Methods**Diego Alves, Božo Bekavac, Daniel Zeman, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alves-2023-analysis-corpus-based-word-order/)
91. [**Parsing Gapping Constructions Based on Grammatical and Semantic Roles**Yoshihide Kato, Shigeki Matsubara*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kato-2020-parsing-gapping-constructions-based-grammatical/)
92. [**Merged bilingual trees based on Universal Dependencies in Machine Translation**David Mareček*2016 · 5 citations*](https://md.research.elamur.ai/free/en/papers/marecek-2016-merged-bilingual-trees-based-universal/)
93. [**A Machine Learning Approach to Automatic Functor Assignment in the Prague Dependency Treebank**Zdeněk Žabokrtský, Petr Sgall, Sašo Džeroski*2002 · 4 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2002-machine-learning-approach-automatic-functor/)
94. [**ALADAN at IWSLT24 Low-resource Arabic Dialectal Speech Translation Task**Waad Ben Kheder, Josef Jon, André Beyer, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kheder-2024-aladan-iwslt24-low-resource-arabic/)
95. [**Machine Translation, Linguistics, and Interlingua**Petr Sgall, Jarmila Panevová*1987 · 4 citations*](https://md.research.elamur.ai/free/en/papers/sgall-1987-machine-translation-linguistics-interlingua/)
96. [**Generation in Machine Translation from Deep Syntactic Trees**Keith Hall, Petr Němec*2007 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hall-2007-generation-machine-translation-deep-syntactic/)
97. [**(Pre-)Annotation of Topic-Focus Articulation in Prague Czech-English Dependency Treebank**Jiří Mírovský, Kateřina Rysová, Magdaléna Rysová, et al.*2013 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mirovsky-2013-pre-annotation-topic-focus-articulation/)
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100. [**First Shared Task on UMR Parsing**Jan Štěpánek, Daniel Zeman, Marketa Lopatkova, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/stepanek-2026-first-shared-task-umr-parsing/)

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