Automatic alignment of Czech and English deep syntactic dependency trees. - David Marecek; Zdenek Zabokrtský; Václav Novák (EAMT, 2008)

Improving Word Alignment Using Alignment of Deep Structures. - David Marecek (TSD, 2009)

English-Czech MT in 2008. - Ondrej Bojar; David Marecek; Václav Novák; Martin Popel; Jan Ptácek; Jan Rous; Zdenek Zabokrtský (WMT@EACL, 2009)

Tackling Sparse Data Issue in Machine Translation Evaluation. - Ondrej Bojar; Kamil Kos; David Marecek (ACL (2), 2010)

Perplexity of n-Gram and Dependency Language Models. - Martin Popel; David Marecek (TSD, 2010)

Maximum Entropy Translation Model in Dependency-Based MT Framework. - Zdenek Zabokrtský; Martin Popel; David Marecek (WMT@ACL, 2010)

Combining Diverse Word-Alignment Symmetrizations Improves Dependency Tree Projection. - David Marecek (CICLing (1), 2011)

Two-step translation with grammatical post-processing. - David Marecek; Rudolf Rosa; Petra Galuscáková; Ondrej Bojar (WMT@EMNLP, 2011)

Influence of Parser Choice on Dependency-Based MT. - Martin Popel; David Marecek; Nathan Green; Zdenek Zabokrtský (WMT@EMNLP, 2011)

Exploiting Reducibility in Unsupervised Dependency Parsing. - David Marecek; Zdenek Zabokrtský (EMNLP-CoNLL, 2012)

The Joy of Parallelism with CzEng 1.0. - Ondrej Bojar; Zdenek Zabokrtský; Ondrej Dusek; Petra Galuscáková; Martin Majlis; David Marecek; Jirí Marsík; Michal Novák; Martin Popel; Ales Tamchyna (LREC, 2012)

HamleDT: To Parse or Not to Parse? - Daniel Zeman; David Marecek; Martin Popel; Loganathan Ramasamy; Jan Stepánek; Zdenek Zabokrtský; Jan Hajic (LREC, 2012)

Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors. - Rudolf Rosa; Ondrej Dusek; David Marecek; Martin Popel (SSST@ACL, 2012)

Dependency Relations Labeller for Czech. - Rudolf Rosa; David Marecek (TSD, 2012)

Formemes in English-Czech Deep Syntactic MT. - Ondrej Dusek; Zdenek Zabokrtský; Martin Popel; Martin Majlis; Michal Novák; David Marecek (WMT@NAACL-HLT, 2012)

DEPFIX: A System for Automatic Correction of Czech MT Outputs. - Rudolf Rosa; David Marecek; Ondrej Dusek (WMT@NAACL-HLT, 2012)

Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing. - David Marecek; Milan Straka (ACL (1), 2013)

Coordination Structures in Dependency Treebanks. - Martin Popel; David Marecek; Jan Stepánek; Daniel Zeman; Zdenek Zabokrtský (ACL (1), 2013)

Deepfix: Statistical Post-editing of Statistical Machine Translation Using Deep Syntactic Analysis. - Rudolf Rosa; David Marecek; Ales Tamchyna (ACL (Student Research Workshop), 2013)

Dealing with Function Words in Unsupervised Dependency Parsing. - David Marecek; Zdenek Zabokrtský (CICLing (1), 2014)

HamleDT 2.0: Thirty Dependency Treebanks Stanfordized. - Rudolf Rosa; Jan Masek 003; David Marecek; Martin Popel; Daniel Zeman; Zdenek Zabokrtský (LREC, 2014)

Adaptation of machine translation for multilingual information retrieval in the medical domain. - Pavel Pecina; Ondrej Dusek; Lorraine Goeuriot; Jan Hajic; Jaroslava Hlavácová; Gareth J. F. Jones; Liadh Kelly; Johannes Leveling; David Marecek; Michal Novák; Martin Popel; Rudolf Rosa; et al. (Artif. Intell. Medicine, 2014)

HamleDT: Harmonized multi-language dependency treebank. - Daniel Zeman; Ondrej Dusek; David Marecek; Martin Popel; Loganathan Ramasamy; Jan Stepánek; Zdenek Zabokrtský; Jan Hajic (Lang. Resour. Evaluation, 2014)

Multilingual Dependency Parsing: Using Machine Translated Texts instead of Parallel Corpora. - Loganathan Ramasamy; David Marecek; Zdenek Zabokrtský (Prague Bull. Math. Linguistics, 2014)

Multilingual Unsupervised Dependency Parsing with Unsupervised POS Tags. - David Marecek (MICAI (1), 2015)

Moses & Treex Hybrid MT Systems Bestiary. - Rudolf Rosa; Martin Popel; Ondrej Bojar; David Marecek; Ondrej Dusek (DMTW, 2016)

Twelve Years of Unsupervised Dependency Parsing. - David Marecek (ITAT, 2016)

If You Even Don't Have a Bit of Bible: Learning Delexicalized POS Taggers. - Zhiwei Yu; David Marecek; Zdenek Zabokrtský; Daniel Zeman (LREC, 2016)

Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined. - Daniel Zeman; David Marecek; Zhiwei Yu; Zdenek Zabokrtský (PACLIC, 2016)

Delexicalized and Minimally Supervised Parsing on Universal Dependencies. - David Marecek (SLSP, 2016)

Merged bilingual trees based on Universal Dependencies in Machine Translation. - David Marecek (WMT, 2016)

Gibbs Sampling Segmentation of Parallel Dependency Trees for Tree-Based Machine Translation. - David Marecek; Zdenek Zabokrtský (Prague Bull. Math. Linguistics, 2016)

Communication with Robots using Multilayer Recurrent Networks. - Bedrich Pisl; David Marecek (RoboNLP@ACL, 2017)

Slavic Forest, Norwegian Wood. - Rudolf Rosa; Daniel Zeman; David Marecek; Zdenek Zabokrtský (VarDial, 2017)

CUNI Experiments for WMT17 Metrics Task. - David Marecek; Ondrej Bojar; Ondrej Hübsch; Rudolf Rosa; Dusan Varis (WMT, 2017)

CUNI submission in WMT17: Chimera goes neural. - Roman Sudarikov; David Marecek; Tom Kocmi; Dusan Varis; Ondrej Bojar (WMT, 2017)

CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task. - Rudolf Rosa; David Marecek (CoNLL Shared Task (2), 2018)

Extracting Syntactic Trees from Transformer Encoder Self-Attentions. - David Marecek; Rudolf Rosa (BlackboxNLP@EMNLP, 2018)

Input Combination Strategies for Multi-Source Transformer Decoder. - Jindrich Libovický; Jindrich Helcl; David Marecek (WMT, 2018)

From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions. - David Marecek; Rudolf Rosa (BlackboxNLP@ACL, 2019)

Derivational Morphological Relations in Word Embeddings. - Tomás Musil; Jonás Vidra; David Marecek (BlackboxNLP@ACL, 2019)

Inducing Syntactic Trees from BERT Representations. - Rudolf Rosa; David Marecek (CoRR, 2019)

Universal Dependencies according to BERT: both more specific and more general. - Tomasz Limisiewicz; David Marecek; Rudolf Rosa (EMNLP (Findings), 2020)

THEaiTRE: Artificial Intelligence to Write a Theatre Play. - Rudolf Rosa; Ondrej Dusek; Tom Kocmi; David Marecek; Tomás Musil; Patrícia Schmidtová; Dominik Jurko; Ondrej Bojar; Daniel Hrbek; David Kosták; Martina Kinská; Josef Dolezal; et al. (AI4Narratives@IJCAI, 2020)

Syntax Representation in Word Embeddings and Neural Networks - A Survey. - Tomasz Limisiewicz; David Marecek (ITAT, 2020)

Measuring Memorization Effect in Word-Level Neural Networks Probing. - Rudolf Rosa; Tomás Musil; David Marecek (TDS, 2020)

Are Multilingual Neural Machine Translation Models Better at Capturing Linguistic Features? - David Marecek; Hande Çelikkanat; Miikka Silfverberg; Vinit Ravishankar; Jörg Tiedemann (Prague Bull. Math. Linguistics, 2020)

Using Word Embeddings and Collocations for Modelling Word Associations. - Micha de Rijk; David Marecek (Prague Bull. Math. Linguistics, 2020)

Introducing Orthogonal Constraint in Structural Probes. - Tomasz Limisiewicz; David Marecek (ACL/IJCNLP (1), 2021)

Analyzing BERT's Knowledge of Hypernymy via Prompting. - Michael Hanna 001; David Marecek (BlackboxNLP@EMNLP, 2021)

THEaiTRE 1.0: Interactive Generation of Theatre Play Scripts. - Rudolf Rosa; Tomás Musil; Ondrej Dusek; Dominik Jurko; Patrícia Schmidtová; David Marecek; Ondrej Bojar; Tom Kocmi; Daniel Hrbek; David Kosták; Martina Kinská; Marie Nováková; et al. (Text2Story@ECIR, 2021)

Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes. - Tomasz Limisiewicz; David Marecek (EMNLP (1), 2021)

When a Robot Writes a Play: Automatically Generating a Theatre Play Script. - Rudolf Rosa; Tomás Musil; Ondrej Dusek; Dominik Jurko; Patrícia Schmidtová; David Marecek; Ondrej Bojar; Tom Kocmi; Daniel Hrbek; David Kosták; Martina Kinská; Marie Nováková; et al. (ALIFE, 2021)

Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information. - Tomasz Limisiewicz; David Marecek (CoRR, 2022)

Independent Components of Word Embeddings Represent Semantic Features. - Tomás Musil; David Marecek (CoRR, 2022)

Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages. - Tomasz Limisiewicz; Jirí Balhar; David Marecek (ACL (Findings), 2023)

The Functional Relevance of Probed Information: A Case Study. - Michael Hanna 001; Roberto Zamparelli; David Marecek (EACL, 2023)

Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation. - Bar Iluz; Tomasz Limisiewicz; Gabriel Stanovsky; David Marecek (IJCNLP (1), 2023)

Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments. - Linus Pithan; Vladimir Starostin; David Marecek; Lukas Petersdorf; Constantin Völter; Valentin Munteanu; Maciej Jankowski; Oleg Konovalov; Alexander Gerlach; Alexander Hinderhofer; Bridget M. Murphy; Stefan Kowarik; et al. (CoRR, 2023)

Exploring Interpretability of Independent Components of Word Embeddings with Automated Word Intruder Test. - Tomás Musil; David Marecek (LREC/COLING, 2024)

Debiasing Algorithm through Model Adaptation. - Tomasz Limisiewicz; David Marecek; Tomás Musil (ICLR, 2024)

Transforming Hidden States into Binary Semantic Features. - Tomás Musil; David Marecek (CoRR, 2024)

Dual Debiasing: Remove Stereotypes and Keep Factual Gender for Fair Language Modeling and Translation. - Tomasz Limisiewicz; David Marecek; Tomás Musil (CoRR, 2025)