L. Kyjanek

Lukáš Kyjánek

l.kyjanek (at) gmail.com

I exploit statistics and machine learning to deal with:

morphology with a focus on computational approaches to predictability in morphological paradigms;
derivational morphology with a focus on semantics in derivations and morphological categories;
computer lexicography with a focus on resources of word-formation and morphology, but not exclusively;
dialectometry with a focus on mutual intelligibility of closely related languages.

I am a PhD candidate of linguistics at Laboratoire de Linguistique Formelle, Université Paris Cité from 2025.

I was at the internship at Laboratoire de Linguistique Formelle, Université Paris Cité, under a supervision of Olivier Bonami from January to August 2022.

I was a PhD candidate of computational linguistics at Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University between 2020 and 2023.

projects

                    A data-based approach to competition in word-formation
                
                    I researched competition in word-formation processes and means employed to express the meanings of diminutiveness and gender marking in seven European languages.
                    
                    START Research Programme, CUNI
(principal investigator, 2021-2023)

Project webpage

				    Word-formation structure of Czech words
				
                    I focused on linguistic research into the word-formation structure of Czech words. We used specialised
                    language resources, tools and large corpora of Czech.
                    
                    GAČR Grant, CUNI
(team member, 2019-2021)

Project webpage

                    Derivational networks for multiple languages
                
                    With Jonáš Vidra and Tomáš Musil, we focused on developing derivational networks for multiple languages
                    using machine learning and cross-linguistical transfer of knowledge.
                    
                    GAUK Grant, CUNI
(team member, 2019-2021)

Project webpage

Semantic labels into DeriNet

I carried out first experiments with labelling of derivational meanings in Czech DeriNet using machine learning methods. As a result, the database contains five labels since its version 2.0.

Student's Faculty Grant, CUNI
(principal investigator, 2019)

GitHub repository

Foreign words recognition

I developed a rule-based tool for the recognition of borrowed/foreign/loan words in the Czech language. Used rules are based on the study of so far published linguistic papers.

Student's Faculty Grant, CUNI
(principal investigator, 2018)

GitHub repository

                    Computational approach to predictability in morphology
                
                    I study morphological paradigms and their coherence and predictability in morphology on the basis of Czech language data.

                    Dissertation Thesis (work-in-progress)

Université Paris Cité

                    Harmonised collection 
 Universal Derivations
                
                    I created a collection of harmonised lexical networks capturing word-formation in a cross-linguistically consistent annotation scheme for many languages.
                    
                    Master Thesis

Charles University

                    Mutual Intelligibility between West-Slavic languages
                
                    With Jiří Haviger, we focused on measurement of mutual intelligibility between West-Slavic
                    languages, especially using conditional entropy and methods from the field of dialectometry.
                    
                    Bachelor Thesis

University of Hradec Králové

data resources

[web] Universal Derivations collection
A collection of harmonised lexical networks capturing word-formation in a cross-linguistically consistent annotation scheme for many languages.
.data
2021. Universal Derivations 1.1.
APA: Kyjánek, L.; Žabokrtský, Z.; Vidra, J.; Ševčíková, M. 2021. Universal Derivations 1.1, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-3247.
.data
2020. Universal Derivations 1.0.
APA: Kyjánek, L.; Žabokrtský, Z.; Vidra, J.; Ševčíková, M. 2020. Universal Derivations 1.0, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-3236.
.data
2019. Universal Derivations 0.5.
APA: Kyjánek, L.; Žabokrtský, Z.; Vidra, J.; Ševčíková, M. 2019. Universal Derivations 0.5, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-3041.

[web] Universal Segmentations collection
A collection of harmonised lexical networks capturing morphological segmentation in a cross-linguistically consistent annotation scheme for many languages.
.data
2022. Universal Segmentations 1.0.
APA: Žabokrtský, Z.; Bafna, N.; Bodnár, J.; Kyjánek, L.; Svoboda, E.; Ševčíková, M.; Vidra, J. et al. 2022. Universal Segmentations 1.0, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-4629.

[web] DeriNet database
A lexical derivational network for Czech. I enlarge relations captured, prepare manual annotations, and label semantics.
.data
2021. DeriNet 2.1.
APA: Vidra, J.; Žabokrtský, Z.; Kyjánek, L.; Ševčíková, M.; Dohnalová, Š.; Svoboda, E.; Bodnár, J. 2021. DeriNet 2.1, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-3765.
.data
2021. DeriNet 2.0.5.
APA: Vidra, J.; Žabokrtský, Z.; Kyjánek, L.; Ševčíková, M.; Dohnalová, Š. 2021. DeriNet 2.0.5, Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, derinet-2-0-5.tsv.gz.
.data
2019. DeriNet 2.0.
APA: Vidra, J.; Žabokrtský, Z.; Kyjánek, L.; Ševčíková, M.; Dohnalová, Š. 2019. DeriNet 2.0, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-2995.
.data
2018. DeriNet 1.7.
APA: Vidra, J.; Kyjánek, L.; Ševčíková, M.; Žabokrtský, Z.; Kalužová, A.; Dohnalová, Š. 2018. DeriNet 1.7, Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, https://ufal.mff.cuni.cz/~Vidra/derinet-1-7.tsv.
.data
2018. DeriNet 1.6.
APA: Vidra, J.; Kyjánek, L.; Ševčíková, M.; Žabokrtský, Z.; Kalužová, A.; Dohnalová, Š.; Hudeček, V. 2018. DeriNet 1.6, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-2873.

[web] DeriNet.RU database
A lexical derivational network for Russian. It adheres the same principles as DeriNet and is included in Universal Derivations.
.data
2021. DeriNet.RU 0.5.
APA: Kyjánek, L.; Lyashevskaya, O.; Nedoluzhko, A.; Vodolazsky, D.; Žabokrtský, Z. 2021. DeriNet.RU 0.5, Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, DeriNetRU-0.5.zip. Released also in the Universal Derivation collection v1.1.

Package of word embeddings of Czech from a large corpus
A collection of models of word embeddings for Czech, trained on a large Czech corpus data.
.data
2022. Package of word embeddings of Czech from a large corpus.
APA: Kyjánek, L.; Bonami, O. 2022. Package of word embeddings of Czech from a large corpus, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University, http://hdl.handle.net/11234/1-4920.

Documentation: DeriNet API

The online, interactive documentation of DeriNet API, which is also exploitable for working with Universal Derivations. I created it in three parts: a complete description of all functions, a description of modules utilisable in the API, and an interactive example that is easily editable for user's desires.

Jupyter notebook

List of language resources of derivational morphology

The list assembles the existing language resources that contain any pieces of annotations of derivational morphology and/or word-formation, in a broader sense. It is a continuation of the first list of such resources that I published as a technical report in 2018. The list is kept up to date.

Webpage with the list

tools

                    Classification of Czech verbs into classes and groups
                
                    Rule-based tool for a classification of Czech verbs into 5 common conjugation classes.
                    It also identifies conjugation groups within the particular classes.

GitHub repository

                    Phonetic transcription of Czech, Slovak, and Polish
                
                    Rule-based tool for a phonetic transcription of the Czech, Slovak and Polish languages into the International Phonetic Alphabet (IPA).

GitHub repository

                    Recognition of foreign words in the Czech language
                
                    Rule-based tool for a recognition of foreign/borrowed/loan words in the Czech language.

GitHub repository

Tool for manual annotation

The web-browser visual interface manual annotations of derivational morphology in resources like from UDer. The tool can be used online or cloned from Github.

GitHub repository

publications

.pdf
2023. Assessing the Featural Organisation of Paradigms with Distributional Methods.
APA: Bonami, O.; Kyjánek, L.; Wauquier, M. 2023. Assessing the Featural Organisation of Paradigms with Distributional Methods. In: Proceedings of the Society for Computation in Linguistics (SCiL 2023). Amherst, Massachusetts, USA, pp. 310-320. URL: https://scholarworks.umass.edu/scil/vol6/iss1/29/
.pdf
2023. Formalisation of the word-formation meaning in language data resources (PhD Thesis proposal).
APA: Kyjánek, L. 2023. Formalisation of the word-formation meaning in language data resources. PhD Thesis proposal. Prague: Faculty of Mathematics and Physics, Charles University. Supervisor: Magda Ševčíková. Unpublished thesis.
.pdf
2022. Global Variants in the Czech Language.
APA: Hlaváčová, J.; Kyjánek, L.; Ševčíková, M. 2022. Global Variants in the Czech Language. In: Proceedings of the 22nd Conference Information Technologies – Applications and Theory (ITAT 2022). Zuberec, pp. 105-111. URL: https://ics.upjs.sk/~antoni/ceur-ws.org/Vol-0000/paper14.pdf
.pdf
2022. Web-based Annotation Interface for Derivational Morphology.
APA: Kyjánek, L. 2022. Web-based Annotation Interface for Derivational Morphology. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations. Seattle, pp. 10-16. URL: https://aclanthology.org/2022.naacl-demo.2.pdf
.pdf
2022. A Distributional Approach to Inflection vs. Derivation in Czech .
APA: Kyjánek, L., Bonami, O. 2022. A Distributional Approach to Inflection vs. Derivation in Czech. In: Word-Formation Theories VI & Typology and Universals in Word-Formation V, book of abstracts, pp.21-22. URL: http://kaa.ff.upjs.sk/
.pdf
2022. Constructing a Lexical Resource of Russian Derivational Morphology.
APA: Kyjánek, L.; Lyashevskaya. O.; Nedoluzhko, A.; Vodolazsky, D.; Žabokrtský, Z. 2022. Constructing a Lexical Resource of Russian Derivational Morphology. In: Proceedings of the 13th Conference on Language Resources and Evaluation Conference (LREC). Marseille, pp. 2788-2797. URL: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.298.pdf
.pdf
2022. Towards Universal Segmentations: UniSegments 1.0.
APA: Žabokrtský, Z.; Bafna, N.; Bodnár, J.; Kyjánek, L.; Svoboda, E.; Ševčíková, M.; Vidra, J. 2022. Towards Universal Segmentations: UniSegments 1.0. In: Proceedings of the 13th Conference on Language Resources and Evaluation Conference (LREC). Marseille, pp. 1137-1149. URL: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.122.pdf
.pdf
2021. Towards Universal Segmentations: Survey of Existing Morphosegmentation Resources.
APA: Bafna, N.; Bodnár, J.; Kyjánek, L.; Svoboda, E.; Ševčíková, M.; Vidra, J.; Žabokrtský, Z. 2021. Towards Universal Segmentations: Survey of Existing Morphosegmentation Resources. Technical Report TR-2021-69. Prague: Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University. ISSN: 1214-5521. URL: https://ufal.mff.cuni.cz/techrep/tr69.pdf.
.pdf
2021. Agent noun formation in Czech: An empirical study on suffix rivalry.
APA: Ševčíková, M.; Kyjánek, L.; Vidová Hladká, B. 2021. Agent noun formation in Czech: An empirical study on suffix rivalry. Second Workshop on Paradigmatic Word Formation Modelling, 65-68. URL: ParadigMo-2-Booklet-of-abstracts.pdf.
.pdf
2020. Universal Derivations 1.0, A Growing Collection of Harmonised Word-Formation Resources.
APA: Kyjánek, L.; Žabokrtský, Z.; Ševčíková, M.; Vidra, J. 2020. Universal Derivations 1.0, A Growing Collection of Harmonised Word-Formation Resources. The Prague Bulletin of Mathematical Linguistics, 115(2), 5-30. URL: https://ufal.mff.cuni.cz/pbml/115/art-kyjanek-et-al.pdf.
.pdf
2020. Harmonisation of Language Resources for Word-Formation of Multiple Languages.
APA: Kyjánek, L. 2020. Harmonisation of Language Resources for Word-Formation of Multiple Languages. Master Thesis. Prague: Faculty of Mathematics and Physics, Charles University. Supervisor: Magda Ševčíková. Unpublished thesis.
.pdf
2019. Introducing Semantic Labels into the DeriNet Network.
APA: Ševčíková, M.; Kyjánek, L. 2019. Introducing Semantic Labels into the DeriNet Network. In Journal of Linguistics. Bratislava: Jazykovedný ústav Ľudovíta Štúra Slovenskej akadémie vied, pp. 412-423. ISSN: 0021-5597. URL: http://www.juls.savba.sk/ediela/jc/2019/2/jc19-02.pdf.
.pdf
2019. Universal Derivations Kickoff: A Collection of Harmonized Derivational Resources for Eleven Languages.
APA: Kyjánek, L.; Žabokrtský, Z.; Ševčíková, M.; Vidra, J. 2019. Universal Derivations Kickoff: A Collection of Harmonized Derivational Resources for Eleven Languages. In Proceedings of the 2nd Workshop on Resources and Tools for Derivational Morphology. Prague: Charles University, pp. 101-110. ISBN: 978-80-88132-08-0. URL: https://ufal.mff.cuni.cz/derimo2019/pdf-files/derimo2019.pdf.
.pdf
2019. DeriNet 2.0: Towards an All-in-One Word-Formation Resource.
APA: Vidra, J.; Žabokrtský, Z.; Ševčíková, M.; Kyjánek, L. 2019. DeriNet 2.0: Towards an All-in-One Word-Formation Resource. In Proceedings of the 2nd Workshop on Resources and Tools for Derivational Morphology. Prague: Charles University, pp. 81-89. ISBN: 978-80-88132-08-0. URL: https://ufal.mff.cuni.cz/derimo2019/pdf-files/derimo2019.pdf.
.pdf
2019. The Measurement of Mutual Intelligibility between West-Slavic Languages.
APA: Kyjánek, L.; Haviger, J. 2019. The Measurement of Mutual Intelligibility between West-Slavic Languages. Journal of Quantitative Linguistics, 26(3), 205-230. DOI: 10.1080/09296174.2018.1464546.
.pdf
2018. Morphological Resources of Derivational Word-Formation Relations.
APA: Kyjánek, L. 2018. Morphological Resources of Derivational Word-Formation Relations. Technical Report TR-2018-61. Prague: Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University. ISSN: 1214-5521. URL: http://ufal.mff.cuni.cz/techrep/tr61.pdf.
.pdf
2017. Semikomunikace v konceptu komunikace.
APA: Kyjánek, L. 2017. Semikomunikace v konceptu komunikace. Bachelor Thesis. Hradec Králové: Faculty of Science, University of Hradec Králové. Supervisor: Jana Bílková. Consultant: Jiří Haviger. Unpublished thesis.

presentations

.slides
2023. Assessing the Featural Organisation of Paradigms with Distributional Methods.
Event: Conference of the Society for Computation in Linguistics, SCiL 2023, Amherst (Massachusetts, USA).
.slides
2023. Formalisation of the word-formation meaning in language data resources (PhD Thesis proposal).
Event: PhD Thesis proposal defence, 2023, Prague (Czechia).
.slides
2022. Global Variants in the Czech Language.
Event: Conference Information technologies - Applications and Theory, 2022, Zuberec (Slovakia). (presented by me and Jaroslava Hlaváčová)
.slides
2022. Morphosyntactic features in distributional space.
Event: Laboratoire de linguistique formelle, Université de Paris. Morphological meeting / Reading Group, 2022, Paris (France). (presented by all authors)
.slides
2022. A distributional approach to inflection vs. derivation in Czech.
Event: Conference of the Word-Formation Theories VI & Typology and Universals in Word-Formation V, 2022, Košice (Slovakia).
.poster
2022. Web-based Annotation Interface for Derivational Morphology.
Event: Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2022, Demonstrations, 2022, Seattle (Washington, USA).
.poster
2022. Constructing a Lexical Resource of Russian Derivational Morphology.
Event: 13th Language Resources and Evaluation Conference, LREC 2022, Marseille (Frnace).
.slides
2022. Towards Universal Segmentations: UniSegments 1.0.
Event: 13th Language Resources and Evaluation Conference, LREC 2022, Marseille (France).
.slides
2022. A data-based approach to competition in word-formation: diminutivesand gender marking across seven languages.
Event: Laboratoire de linguistique formelle, Université de Paris. Morphological meeting / Reading Group, 2022, Paris (France).
.slides
2021. Agent noun formation in Czech: An empirical study on suffix rivalry.
Event: ParadigMo2 Workshop, 2021, Bordeaux (France). (presented by M. Ševčíková)
.slides
2021. Derivational meaning in language resources.
Event: UFAL PhD Conference, 2021, Prague (Czechia).
.slides
2020. Harmonizace jazykových zdrojů zachycujících slovotvorbu různých jazyků.
Event: Master Thesis defence, 2020, Prague (Czechia).
.slides
2019. Universal Derivations Kickoff: A Collection of Harmonized Derivational Resources for Eleven Languages.
Event: DeriMo Workshop, 2019, Prague (Czechia). (presented by Z. Žabokrtský)
.slides
2019. Introducing Semantic Labels into the DeriNet Network.
Event: Slovko Conference, 2019, Bratislava (Slovakia).
.slides
2018. The Measurement of Mutual Intelligibility between West-Slavic Languages.
Event: UFAL Seminar, 2018, Perlova Voda (Czechia).
.slides
2017. Měření jazykové vzdálenosti mezi západoslovanskými jazyky.
Event: Mezinárodní setkání mladých lingvistů (Student a věda), 2017, Olomouc (Czechia).
.slides
2017. Semikomunikace v konceptu komunikace.
Event: Bachelor Thesis defence, 2017, Hradec Králove (Czechia).

teaching

Subject	2021-2022	2022-2023	2023-2024
Programming 1 [NPRG030] (in Czech)	web	web	web