--- title: "Miloš Jakubíček · Masaryk University — author profile and papers" description: "Miloš Jakubíček, Masaryk University: 2 papers on Elamur Research (2012–2019), h-index 10 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/milos-jakubicek/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/milos-jakubicek/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Miloš Jakubíček # Miloš Jakubíček Miloš Jakubíček has 2 papers in our library, in 2012–2019, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/), [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/); often with [Pavel Rychlý](https://md.research.elamur.ai/free/en/authors/pavel-rychly/), [Michal Měchura](https://md.research.elamur.ai/free/en/authors/michal-mechura/). 2 papers in our library · 2012–2019 [OpenAlex](https://openalex.org/A5056288251) · [ORCID](https://orcid.org/0000-0002-6208-7602) · [**h-index 10**](https://openalex.org/authors/A5056288251) · [73 works](https://openalex.org/works?filter=author.id:A5056288251) · [2,589 citations](https://openalex.org/works?filter=author.id:A5056288251&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/milos-jakubicek/#papers) · 🔗 Cited 9 times in our library · [⭐ Paper Stars ranking: #5484](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5484) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Milo%C5%A1+Jakub%C3%AD%C4%8Dek) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Milo%C5%A1+Jakub%C3%AD%C4%8Dek) · [dblp](https://dblp.org/search?q=Milo%C5%A1+Jakub%C3%AD%C4%8Dek) · [ACL Anthology](https://aclanthology.org/search/?q=Milo%C5%A1+Jakub%C3%AD%C4%8Dek) ## Affiliations [🎓**Masaryk University** Brno · Czechia 2008–2025 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/masaryk-university/) · [🏢**Lexical Computing CZ** Brno 2016–2025 · 3 papers*current*](https://ror.org/01adbad76) · [🏢**Lexical Computing** Brighton 2012–2021 · 14 papers](https://md.research.elamur.ai/free/en/companies/lexical-computing/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Literature and Literary Theory · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) 🧭 Topics 2 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Part-of-speech tagging · 1 work](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) ## Works by year ### 2010s [**2019** 1 paper Automating Dictionary Production: a Tagalog-English-Korean Dictionary from Scratch](https://md.research.elamur.ai/free/en/papers/baisa-2019-automating-dictionary-production/) · [**2012** 1 paper Building a 70 billion word corpus of English from ClueWeb](https://md.research.elamur.ai/free/en/papers/pomikalek-2012-building-70-billion-word-corpus/) ## Papers The most cited first (OpenAlex and our library). 1. **[Building a 70 billion word corpus of English from ClueWeb](https://md.research.elamur.ai/free/en/papers/pomikalek-2012-building-70-billion-word-corpus/)** *(2012 · 33 citations)* Large corpora are needed because rare words, collocations and patterns only appear with enough text. Running a multi-terabyte crawl is hard in an academic setting, so the authors built an English web corpus from the English half of ClueWeb09, a fixed crawl of about 500 million pages. Their pipeline had five steps: 2. **[Automating Dictionary Production: a Tagalog-English-Korean Dictionary from Scratch](https://md.research.elamur.ai/free/en/papers/baisa-2019-automating-dictionary-production/)** *(2019 · 6 citations)* The authors show how to create a Tagalog dictionary with English and Korean translations without having any ready-made lexicographic resources. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Pavel Rychlý](https://md.research.elamur.ai/free/en/authors/pavel-rychly/) ×2 - [Michal Měchura](https://md.research.elamur.ai/free/en/authors/michal-mechura/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2012](https://md.research.elamur.ai/free/en/venues/lrec/2012/) - eLex 2019 (Sintra), pp. 805–818 ## Cited by Papers of our library cite their works 9 times (of the 141,840 papers whose bibliographies we read). Updated 24 October 2026