Vladislav Kuboň

526 citations
36 papers · 240 indexed · h-index 8

Vladislav Kuboň

30 papers receiving 182 citations

Peers

Vladislav Kuboň
Comparison fields: 5 of 22
  • Artificial Intelligence 208
  • Language and Linguistics 46
  • Experimental and Cognitive Psychology 13
  • Linguistics and Language 4
  • Computational Theory and Mathematics 12
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Citations per year

Countries citing papers authored by Vladislav Kuboň

Since Specialization
Citations

This map shows the geographic impact of Vladislav Kuboň's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vladislav Kuboň with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladislav Kuboň more than expected).

Fields of papers citing papers by Vladislav Kuboň

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladislav Kuboň. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vladislav Kuboň. The network helps show where Vladislav Kuboň may publish in the future.

Co-authorship network

The 13 scholars most cited alongside Vladislav Kuboň, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vladislav Kuboň Line = papers co-authored together Vladislav Kuboň links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Automated Implementation Process of Machine Translation System for Related Languages
20162
2
Searching for a Measure of Word Order Freedom.
20160
3
Free or Fixed Word Order: What Can Treebanks Reveal?
20151
4
Exploiting Maching Learning for Automatic Semantic Feature Assignment
20131
5
Studying Formal Properties of a Free Word Order Language
20122
6
A method of hybrid MT for related languages
20102
7
Obtaining Hidden Relations from a Syntactically Annotated Corpus - From Word Relationships to Clause Relationships
20090
8
A Hybrid Machine Translation System for Typologically Related Languages
20083
9
Segmentation of Complex Sentences ⋆
20080
10
A Linguistically-Based Segmentation of Complex Sentences.
20076
11 200721
12
Prague Czech-English Dependency Treebank. Syntactically Annotated Resources for Machine Translation
200426
13
A translation model for languages of accessing countries.
20041
14
Testing the Limits - Adding a New Language to an MT System.
20023
15
A Method for Analyzing Clause Complexity.
20013
16 20012
17 200058
18
An Implementation of Syntactic Analysis of Czech
19953
19 199028
20 19904

About Vladislav Kuboň

Vladislav Kuboň is a scholar working on Artificial Intelligence, Language and Linguistics and Communication, having authored 36 papers that have together received 240 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (28 papers), Topic Modeling (12 papers), Speech and dialogue systems (5 papers), Authorship Attribution and Profiling (5 papers), Semantic Web and Ontologies (3 papers), Text Readability and Simplification (3 papers), Lexicography and Language Studies (2 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Language and Linguistics (46 citations) and Experimental and Cognitive Psychology (13 citations). Vladislav Kuboň has collaborated with scholars based in Czechia, Germany and Poland. Frequent co-authors include Jan Hajič, Martin Plátek, Eva Hajičová, Petya Osenova, Lothar Lemnitzer, Kiril Simov, Adam Przepiórkowski, Łukasz Dębowski, Pavel Pecina and Michael Rosner. Their work appears in journals such as Language Resources and Evaluation, Control and Cybernetics, Computación y Sistemas, The Florida AI Research Society and ˜The œPrague Bulletin of Mathematical Linguistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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