---
title: "Czechia — research institutions, scientists and papers"
description: "Czechia: 7 institutions with papers in our library in 3 agglomerations, 41 people with a page, 125 works, 92,092 citations."
canonical: "https://research.elamur.ai/free/en/countries/czechia/"
---
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# Czechia

Country 7 institutions in 3 agglomerations · [all countries](https://md.research.elamur.ai/free/en/countries/)

[**7** institutions with a page](https://md.research.elamur.ai/free/en/countries/czechia/#institutions) · [**3** agglomerations](https://md.research.elamur.ai/free/en/countries/czechia/#agglomerations) · [**41** people with a page](https://md.research.elamur.ai/free/en/countries/czechia/#authors) · [**125** works in our library](https://md.research.elamur.ai/free/en/countries/czechia/#works) · [**92,092** citations of their works](https://md.research.elamur.ai/free/en/countries/czechia/#works)

## About

### Profile

Czechia appears on this site as a small group of research institutions. Each of them is included because people working there wrote at least two of the papers the library holds. The [Czechia country listing](https://md.research.elamur.ai/free/en/orgs/country/cz/) brings these institutions together and orders them by how much their scientists' work, done at that institution, has been cited. It is one of many country groupings in the library's wider [directory of institutions](https://md.research.elamur.ai/free/en/orgs/), which covers universities, laboratories, companies and other organisations from around the world.

The Czech group is compact. It has four universities and one research institute, spread across three cities: Prague, Pilsen and Brno. Three of the five are based in Prague. The selection reflects only the papers in our library. It does not survey Czech science as a whole, and many Czech institutions doing active research may not appear here at all. The listing is best read as a description of where the library's own collection connects to Czechia, not as a census or a ranking of the country's research system.

### The institutions

[Charles University](https://md.research.elamur.ai/free/en/universities/charles-university/) in Prague stands first in the listing. It is described as a university, and among the Czech entries it has the broadest presence in the collection. Many of the works linked to Czechia on this site come from its researchers, and that body of work has drawn substantial citation. Readers who want the most detailed view of Czech research here will find it on the Charles University page. That page has its own profile and its own lists of works and topics.

[Czech Technical University in Prague](https://md.research.elamur.ai/free/en/universities/czech-technical-university-in-prague/) comes second. It is also a university based in the capital. Its presence in the library is much narrower: only a few papers are associated with its researchers. Those papers have still attracted a fair amount of attention from other authors.

The [University of West Bohemia in Pilsen](https://md.research.elamur.ai/free/en/universities/university-of-west-bohemia-in-pilsen/) is listed third and is the only entry located in Pilsen. Its set of works in our library is modest in size. Even so, the citations attached to that set are very large, larger than those of any other Czech institution in the group. This suggests that one or more highly cited papers involve researchers from Pilsen. The institution's own page is the place to see which works these are.

[Masaryk University](https://md.research.elamur.ai/free/en/universities/masaryk-university/) in Brno is fourth. It is the only entry from Brno and, like the Prague and Pilsen universities, it is described as a university. A handful of papers in our library connect to its researchers. Their citation record is modest but clearly visible.

The [Digital Research Infrastructure for Language Technologies, Arts and Humanities](https://md.research.elamur.ai/free/en/labs/digital-research-infrastructure-for-language-technologies-arts-and-humanities/) closes the list. It is the one entry classed as a research institute rather than a university, and it is located in Prague. Its name points to work on language technologies and on digital resources for the arts and humanities. On this site it is linked to only a couple of papers, and these have so far gathered few citations.

### Geography

The Czech entries are concentrated in Prague. Charles University, Czech Technical University in Prague and the Digital Research Infrastructure for Language Technologies, Arts and Humanities are all based there. In this collection, the capital therefore accounts for most of the institutions and for the largest number of linked works.

Pilsen and Brno each have one entry. The University of West Bohemia in Pilsen and Masaryk University in Brno extend the Czech presence beyond the capital. The Pilsen university matters in particular, because its citation record is the strongest in the group. If the measure is citation rather than the number of papers, the weight of Czech research on this site is not confined to Prague. A western city carries a large share of it.

No other Czech cities appear in the listing. This does not mean research is absent elsewhere. It means that no institution in another city has yet met the threshold of two or more papers in the library.

### Kinds of institutions

Universities dominate the group. Four of the five entries are universities, and between them they account for nearly all the Czech-linked works and citations on this site. The listing names no companies, hospitals or government bodies from Czechia, although the directory's categories would allow for them.

The one research institute, the Digital Research Infrastructure for Language Technologies, Arts and Humanities, adds a different kind of organisation. As the word infrastructure in its name suggests, it describes itself as a provider of shared research resources. It is not presented as a teaching institution. Its presence shows that the library's Czech connections include at least one dedicated infrastructure body alongside the universities.

### Research strengths

The country listing does not itself break Czech research down by field, topic or individual work. The clearest signals about subject matter come from the individual institution pages and from the names of the institutions.

One institution's name states a subject area outright. The Digital Research Infrastructure for Language Technologies, Arts and Humanities ties Czech research on this site to language technology and digital humanities. The other four entries are general universities. Their profiles, topic lists and work lists on their own pages show which fields their researchers contributed to the collection.

From the citation patterns alone, two points of concentration stand out. Charles University has the widest base of linked works and substantial accumulated citation, which points to a broad and sustained presence in the library. The University of West Bohemia in Pilsen has a narrow base but a very high citation total, which points to a smaller number of works with unusually wide influence. Czech Technical University in Prague and Masaryk University sit between these two patterns, with a few papers each and steady citation. The research institute is the newest or least cited presence, at least as measured by the works held here.

These observations describe only the papers in our library. They do not establish how Czech institutions compare with one another, or with institutions abroad, across the wider research literature.

### Leading scientists and landmark works

The country page does not list individual researchers or individual papers. The scientists whose work places these institutions in the library are named on each institution's own page. Those pages list people in the order the library gives them and connect each person to the works written there.

The same applies to landmark works. The citation pattern suggests that the most cited Czech-linked papers in our library are tied to the University of West Bohemia in Pilsen and to Charles University. The titles and contents of those papers, and the researchers behind them, are given on the respective institution pages rather than on the country listing. Readers looking for specific landmark papers should start with those two universities.

### Collaborations

Because each institution appears only if its researchers wrote at least two papers in the collection, the listing implies working links between these Czech organisations and the wider set of authors and institutions represented on the site. The country page does not, however, show which partners these are. It names no co-authors, partner institutions or partner countries.

It is plausible that some of the Prague-based entries share work. Charles University, Czech Technical University in Prague and the language-technology infrastructure are all located in the same city. Whether they do is not shown at the country level. The individual pages, which list each institution's works and authors, are the place to follow such connections. Any statement about joint projects between the Czech universities, or between them and institutions abroad, would need to rest on those pages rather than on the country summary.

### Over time

The country listing gives no dates. It does not say when the Czech-linked works were published, how their number has changed, or when each institution first appeared in the collection. Questions about how Czech research on this site developed over the years can be pursued through the publication years on the individual works listed on each institution's page.

What the listing does show is a snapshot. At present, a broad and well-cited body of work is centred on Charles University. A small but very highly cited set of papers is associated with the University of West Bohemia in Pilsen. Czech Technical University in Prague and Masaryk University each make smaller contributions. A recently visible research infrastructure in Prague works in language technologies and the humanities. As the library grows, the order and makeup of this group may change, and further Czech institutions may join it once their researchers reach the threshold of two linked papers.

### Reading the listing

The order of the Czech entries follows the cited work that scientists did at each institution, according to the library's own way of weighing that work. It does not simply follow raw citation totals or paper counts. This is why the University of West Bohemia in Pilsen, despite its very large citation figure, appears below both Charles University and Czech Technical University in Prague. The ranking is a way of arranging the library's holdings, not a judgement of quality or standing.

For a full picture, readers should use the country listing as an index. Each name leads to a page with that institution's profile, its people, its works with their citations, and its topics and units. Taken together, those pages describe what Czech research looks like within this collection.

## Where

## Agglomerations (3)

1. [**Prague**4 institutions*20,758 citations*](https://md.research.elamur.ai/free/en/agglomerations/prague/)
2. [**Brno**2 institutions*32,604 citations*](https://md.research.elamur.ai/free/en/agglomerations/brno/)
3. [**Pilsen**1 institution*38,730 citations*](https://md.research.elamur.ai/free/en/agglomerations/pilsen/)

## Institutions (7)

### 🎓 Universities (5)

1. **[Charles University](https://md.research.elamur.ai/free/en/universities/charles-university/)**University · [Prague](https://md.research.elamur.ai/free/en/agglomerations/prague/), Czechia*108 works · 20,329 citations*
2. **[Brno University of Technology](https://md.research.elamur.ai/free/en/universities/brno-university-of-technology/)**University · [Brno](https://md.research.elamur.ai/free/en/agglomerations/brno/), Czechia*2 works · 32,172 citations*
3. **[University of West Bohemia in Pilsen](https://md.research.elamur.ai/free/en/universities/university-of-west-bohemia-in-pilsen/)**University · [Pilsen](https://md.research.elamur.ai/free/en/agglomerations/pilsen/), Czechia*10 works · 38,730 citations*
4. **[Masaryk University](https://md.research.elamur.ai/free/en/universities/masaryk-university/)**University · [Brno](https://md.research.elamur.ai/free/en/agglomerations/brno/), Czechia*7 works · 432 citations*
5. **[Czech Technical University in Prague](https://md.research.elamur.ai/free/en/universities/czech-technical-university-in-prague/)**University · [Prague](https://md.research.elamur.ai/free/en/agglomerations/prague/), Czechia*2 works · 254 citations*

### 🔬 Labs and research institutes (1)

1. **[Digital Research Infrastructure for Language Technologies, Arts and Humanities](https://md.research.elamur.ai/free/en/labs/digital-research-infrastructure-for-language-technologies-arts-and-humanities/)**Research institute · [Prague](https://md.research.elamur.ai/free/en/agglomerations/prague/), Czechia*3 works · 136 citations*

### 🏛️ Government research bodies (1)

1. **[Czech Academy of Sciences](https://md.research.elamur.ai/free/en/government/czech-academy-of-sciences/)**Government body · [Prague](https://md.research.elamur.ai/free/en/agglomerations/prague/), Czechia*2 works · 39 citations*

## People (41)

Authors with a page confirmed at its institutions, the most cited first.

1. [**Tomas Mikolov**Brno University of Technology*12 papers here · 76,212 citations*](https://md.research.elamur.ai/free/en/authors/tomas-mikolov/)
2. [**Ondřej Bojar**Charles University*27 papers here · 13,585 citations*](https://md.research.elamur.ai/free/en/authors/ondrej-bojar/)
3. [**Jan Hajič**Charles University*19 papers here · 6,779 citations*](https://md.research.elamur.ai/free/en/authors/jan-hajic/)
4. [**Daniel Zeman**Charles University*27 papers here · 5,413 citations*](https://md.research.elamur.ai/free/en/authors/daniel-zeman/)
5. [**Milan Straka**Charles University*12 papers here · 3,654 citations*](https://md.research.elamur.ai/free/en/authors/milan-straka/)
6. [**Martin Popel**Charles University*14 papers here · 3,311 citations*](https://md.research.elamur.ai/free/en/authors/martin-popel/)
7. [**Ondřej Dušek**Charles University*8 papers here · 2,035 citations*](https://md.research.elamur.ai/free/en/authors/ondrej-dusek/)
8. [**Jana Straková**Charles University*6 papers here · 1,985 citations*](https://md.research.elamur.ai/free/en/authors/jana-strakova/)
9. [**Ivan Habernal**University of West Bohemia in Pilsen*6 papers here · 1,681 citations*](https://md.research.elamur.ai/free/en/authors/ivan-habernal/)
10. [**Pavel Pecina**Charles University*3 papers here · 1,265 citations*](https://md.research.elamur.ai/free/en/authors/pavel-pecina/)
11. [**Anna Nedoluzhko**Charles University*13 papers here · 919 citations*](https://md.research.elamur.ai/free/en/authors/anna-nedoluzhko/)
12. [**Zdeněk Žabokrtský**Charles University*17 papers here · 870 citations*](https://md.research.elamur.ai/free/en/authors/zdenek-zabokrtsky/)
13. [**Zdeňka Urešová**Charles University*5 papers here · 755 citations*](https://md.research.elamur.ai/free/en/authors/zdenka-uresova/)
14. [**Jan Štěpánek**Charles University*4 papers here · 702 citations*](https://md.research.elamur.ai/free/en/authors/jan-stepanek/)
15. [**Silvie Cinková**Charles University*3 papers here · 679 citations*](https://md.research.elamur.ai/free/en/authors/silvie-cinkova/)
16. [**Kira Droganova**Charles University*2 papers here · 619 citations*](https://md.research.elamur.ai/free/en/authors/kira-droganova/)
17. [**Pavel Rychlý**Masaryk University*7 papers here · 596 citations*](https://md.research.elamur.ai/free/en/authors/pavel-rychly/)
18. [**Jindřich Helcl**Charles University*4 papers here · 593 citations*](https://md.research.elamur.ai/free/en/authors/jindrich-helcl/)
19. [**Jindřich Libovický**Charles University*4 papers here · 458 citations*](https://md.research.elamur.ai/free/en/authors/jindrich-libovicky/)
20. [**Michal Novák**Charles University*13 papers here · 350 citations*](https://md.research.elamur.ai/free/en/authors/michal-novak/)
21. [**Egon W. Stemle**Masaryk University*4 papers here · 238 citations*](https://md.research.elamur.ai/free/en/authors/egon-w-stemle/)
22. [**David Mareček**Charles University*3 papers here · 190 citations*](https://md.research.elamur.ai/free/en/authors/david-marecek/)
23. [**Patrícia Schmidtová**Charles University*2 papers here · 184 citations*](https://md.research.elamur.ai/free/en/authors/patricia-schmidtova/)
24. [**Jiří Mírovský**Charles University*7 papers here · 133 citations*](https://md.research.elamur.ai/free/en/authors/jiri-mirovsky/)
25. [**Magdaléna Rysová**Charles University*5 papers here · 127 citations*](https://md.research.elamur.ai/free/en/authors/magdalena-rysova/)

[See all 41 people in Czechia →](https://md.research.elamur.ai/free/en/countries/czechia/people/)

## Works in our library (125)

Works of its institutions, the most cited first.

1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python arXiv:1907.10121 (Nature Methods 17, 261 (2020))**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. [**Efficient Estimation of Word Representations in Vector Space arXiv:1301.3781**Tomas Mikolov, Kai Chen, Greg Corrado, et al.*2013 · 28,676 citations*](https://md.research.elamur.ai/free/en/papers/mikolov-2013-efficient-estimation-word-representations-vector/)
3. **[Linguistic Regularities in Continuous Space Word Representations](https://md.research.elamur.ai/free/en/papers/mikolov-2013-linguistic-regularities-continuous-space-word/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tomas Mikolov, Wen-tau Yih, Geoffrey Zweig*2013 · 3,496 citations*
4. [**Universal Dependencies v1: A Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2016 · 1,741 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)
5. [**Non-Projective Dependency Parsing using Spanning Tree Algorithms**Ryan McDonald, Fernando Pereira, Kiril Ribarov, et al.*2005 · 1,259 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2005-non-projective-dependency-parsing-spanning/)
6. **[A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches](https://md.research.elamur.ai/free/en/papers/agirre-2009-study-similarity-relatedness-distributional-wordnet/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Eneko Agirre, Enrique Alfonseca, Keith Hall, et al.*2009 · 1,122 citations*
7. **[Findings of the 2016 Conference on Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 938 citations*
8. [**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/)
9. **[Findings of the 2019 Conference on Machine Translation (WMT19)](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 841 citations*
10. [**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/)
11. [**Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection LREC 2020 (Marseille)**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter*2020 · 772 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2/)
12. **[Findings of the 2018 Conference on Machine Translation (WMT18)](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/) [Conference on Machine Translation: Shared Task Papers](https://md.research.elamur.ai/free/en/venues/conference-on-machine-translation-shared-task-papers/)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 750 citations*
13. **[Findings of the 2017 Conference on Machine Translation (WMT17)](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 689 citations*
14. [**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/)
15. [**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/)
16. **[Universal Dependencies](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.*2021 · 480 citations*
17. [**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/)
18. **[Findings of the 2013 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 443 citations*
19. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 414 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
20. **[Findings of the 2020 Conference on Machine Translation (WMT20)](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*
21. **[Text Understanding with the Attention Sum Reader Network](https://md.research.elamur.ai/free/en/papers/kadlec-2016-text-understanding-attention-sum-reader/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.*2016 · 382 citations*
22. [**Training Tips for the Transformer Model arXiv:1804.00247 · The Prague Bulletin of Mathematical Linguistics 110, April 2018, pp. 43-70**Martin Popel, Ondřej Bojar*2018 · 369 citations*](https://md.research.elamur.ai/free/en/papers/popel-2018-training-tips-transformer-model/)
23. [**Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2020 · 325 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2-evergrowing-multilingual/)
24. [**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/)
25. [**A Lexicographer-Friendly Association Score**Pavel Rychlý*2008 · 312 citations*](https://md.research.elamur.ai/free/en/papers/rychly-2008-logdice/)

[See all 125 works in Czechia →](https://md.research.elamur.ai/free/en/countries/czechia/works/)

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 23 The field of science this work belongs to (OpenAlex fields).[Computer Science · 122 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 122 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 122 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 121 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Decision Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Psychology · 4 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Developmental and Educational Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Literature and Literary Theory · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) · [Biomedical Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/biomedical-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Philosophy · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/philosophy/)+8 more

🧭 Topics 32 Research subjects and languages the work is about.[Machine translation · 35 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Evaluation & benchmarks · 24 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [English · 29 works](https://md.research.elamur.ai/free/en/topics/english/) · [Universal Dependencies · 19 works](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Multilingual & cross-lingual NLP · 22 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Treebanks · 10 works](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Coreference resolution · 17 works](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Discourse analysis · 6 works](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Dependency parsing · 3 works](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Part-of-speech tagging · 3 works](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) · [Semitic languages · 8 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Syntax & grammar formalisms · 5 works](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Dialogue systems · 4 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Morphology · 4 works](https://md.research.elamur.ai/free/en/topics/morphology/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/)+17 more

💡 Concepts 15 Key ideas and methods explained on our concept pages.[Word embeddings · 2 works](https://md.research.elamur.ai/free/en/concepts/word-embeddings/) · [Universal Dependencies · 7 works](https://md.research.elamur.ai/free/en/concepts/universal-dependencies/) · [Natural language processing · 5 works](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) · [Semantics · 2 works](https://md.research.elamur.ai/free/en/concepts/semantics/) · [Parsing · 4 works](https://md.research.elamur.ai/free/en/concepts/parsing/) · [GloVe · 1 work](https://md.research.elamur.ai/free/en/concepts/glove/) · [Lexical semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/lexical-semantics/) · [Dependency parsing · 1 work](https://md.research.elamur.ai/free/en/concepts/dependency-parsing/) · [Lexicography · 1 work](https://md.research.elamur.ai/free/en/concepts/lexicography/) · [Lemma · 2 works](https://md.research.elamur.ai/free/en/concepts/lemma/) · [Morphology · 2 works](https://md.research.elamur.ai/free/en/concepts/morphology/) · [Part-of-speech tagging · 3 works](https://md.research.elamur.ai/free/en/concepts/part-of-speech-tagging/) · [Tokenization · 2 works](https://md.research.elamur.ai/free/en/concepts/tokenization/) · [Lemmatization · 1 work](https://md.research.elamur.ai/free/en/concepts/lemmatization/) · [Subword tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/subword-tokenization/)

## Works by year

### 2020s

[**2026** 11 works Works of Czechia from 2026](https://md.research.elamur.ai/free/en/countries/czechia/year/2026/) · [**2025** 5 works Works of Czechia from 2025](https://md.research.elamur.ai/free/en/countries/czechia/year/2025/) · [**2024** 3 works Works of Czechia from 2024](https://md.research.elamur.ai/free/en/countries/czechia/year/2024/) · [**2023** 7 works Works of Czechia from 2023](https://md.research.elamur.ai/free/en/countries/czechia/year/2023/) · [**2022** 5 works Works of Czechia from 2022](https://md.research.elamur.ai/free/en/countries/czechia/year/2022/) · [**2021** 8 works Works of Czechia from 2021](https://md.research.elamur.ai/free/en/countries/czechia/year/2021/) · [**2020** 9 works Works of Czechia from 2020](https://md.research.elamur.ai/free/en/countries/czechia/year/2020/)

### 2010s

[**2019** 7 works Works of Czechia from 2019](https://md.research.elamur.ai/free/en/countries/czechia/year/2019/) · [**2018** 11 works Works of Czechia from 2018](https://md.research.elamur.ai/free/en/countries/czechia/year/2018/) · [**2017** 10 works Works of Czechia from 2017](https://md.research.elamur.ai/free/en/countries/czechia/year/2017/) · [**2016** 13 works Works of Czechia from 2016](https://md.research.elamur.ai/free/en/countries/czechia/year/2016/) · [**2014** 5 works Works of Czechia from 2014](https://md.research.elamur.ai/free/en/countries/czechia/year/2014/) · [**2013** 9 works Works of Czechia from 2013](https://md.research.elamur.ai/free/en/countries/czechia/year/2013/) · [**2012** 6 works Works of Czechia from 2012](https://md.research.elamur.ai/free/en/countries/czechia/year/2012/)

### 2000s

[**2009** 4 works Works of Czechia from 2009](https://md.research.elamur.ai/free/en/countries/czechia/year/2009/) · [**2008** 5 works Works of Czechia from 2008](https://md.research.elamur.ai/free/en/countries/czechia/year/2008/) · [**2007** 2 works Works of Czechia from 2007](https://md.research.elamur.ai/free/en/countries/czechia/year/2007/) · [**2005** 1 work Works of Czechia from 2005](https://md.research.elamur.ai/free/en/papers/mcdonald-2005-non-projective-dependency-parsing-spanning/) · [**2003** 1 work Works of Czechia from 2003](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2003-arabic-syntactic-trees-constituency-dependency/) · [**2002** 1 work Works of Czechia from 2002](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2002-machine-learning-approach-automatic-functor/)

### 1990s

[**1999** 1 work Works of Czechia from 1999](https://md.research.elamur.ai/free/en/papers/collins-1999-statistical-parser-czech/)

### 1980s

[**1987** 1 work Works of Czechia from 1987](https://md.research.elamur.ai/free/en/papers/sgall-1987-machine-translation-linguistics-interlingua/)

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Updated 24 October 2026