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Langnet | Language networks

The aim of the LangNet project is to design the methodology for complexity evaluation across language levels using complex networks by establishing an information science bridge between linguistics, complex networks and natural language processing.

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Langnet | Language networks | langnet.uniri.hr Reviews
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The aim of the LangNet project is to design the methodology for complexity evaluation across language levels using complex networks by establishing an information science bridge between linguistics, complex networks and natural language processing.
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Langnet | Language networks | langnet.uniri.hr Reviews

https://langnet.uniri.hr

The aim of the LangNet project is to design the methodology for complexity evaluation across language levels using complex networks by establishing an information science bridge between linguistics, complex networks and natural language processing.

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1

Members | Langnet

http://www.langnet.uniri.hr/members.html

University of Rijeka, Department of Informatics. Radmile Matejčić 2, 51000 Rijeka, Croatia. 385 51 584 714. Smarti [at] inf [dot] uniri [dot] hr. University of Rijeka, Department of Informatics. Radmile Matejčić 2, 51000 Rijeka, Croatia. Amestrovic [at] inf [dot] uniri [dot] hr. University of Rijeka, Department of Informatics. Radmile Matejčić 2, 51000 Rijeka, Croatia. Sbeliga [at] inf [dot] uniri [dot] hr. University of Rijeka, Department of Informatics. Radmile Matejčić 2, 51000 Rijeka, Croatia.

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Projects | Langnet

http://www.langnet.uniri.hr/projects.html

LangNet - University of Rijeka grant.

3

Resources | Langnet

http://www.langnet.uniri.hr/resources.html

SYLLABIFICATION FOR CROATIAN BASED ON MAXIMAL ONSET PRINCIPLE. Croatian lemmatized dictionary syllabified on maximal onset principle (. Croatian dictionary with all flective forms syllabified on maximal onset principle (. The list of Croatian words with "JAT" (adjusted for syllabification). Algorithm source code in Python. The resources are published under the CC BY-NC-SA 4.0 licence. Please cite the following paper:. Vol 32, No. 1, pp. 3-35, 2015.

4

Publications | Langnet

http://www.langnet.uniri.hr/publications.html

R Piltaver, M. Luštrek, M. Gams, S. Martinčić-Ipšić, "What makes classification trees comprehensible? Expert Systems with Applications. Volume 16, 333-346, 2016. ISSN 0957-4174, http:/ dx.doi.org/10.1016/j.eswa.2016.06.009. (IF 2.981). S Martinčić-Ipšić, D. Margan, A. Meštrović, "Multilayer Network of Language: a Unified Framework for Structural Analysis of Linguistic Subsystems". Physica A: Statistical Mechanics and its Applications. International Journal on Semantic Web and Information Systems (IJSWIS).

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Langnet | Language networks

http://www.langnet.uniri.hr/index.html

NEWS, EVENTS and ANNOUNCEMENTS. LangNet is co-organizer @ LTA 2017. Member of LangNet team Sanda Martinčić-Ipšić is co-chair of 2. International Workshop on Language Technologies and Applications (. Federated Conference on Computer Science and Information Systems. In Prague, Czech Republic, 3 - 6 September, 2017. Slobodan Beliga and Sanda Martinčić-Ipšić participated at COST Keystone MC and WG Meeting. In Belgrade February 2017. LangNet published @ Semantic Keyword-Based Search on Structured Data Sources.

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