Understanding Romanian Texts by Using Gamification Methods

Berghia Ștefania-Eliza, Pahomi Bogdan and Volovici Daniel
Additional contact information
Berghia Ștefania-Eliza: „Lucian Blaga” University of Sibiu, Engineering Faculty, Computer Science and Electrical and Electronics Engineering Department
Pahomi Bogdan: „Lucian Blaga” University of Sibiu, Engineering Faculty, Computer Science and Electrical and Electronics Engineering Department
Volovici Daniel: „Lucian Blaga” University of Sibiu, Engineering Faculty, Computer Science and Electrical and Electronics Engineering Department

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2019, vol. 9, issue 1, 52-57

Abstract: In recent years, there has been increasing interest in the field of natural language processing. Determining which syntactic function is right for a specific word is an important task in this field, being useful for a variety of applications like understanding texts, automatic translation and question-answering applications and even in e-learning systems. In the Romanian language, this is an even harder task because of the complexity of the grammar. The present paper falls within the field of “Natural Language Processing”, but it also blends with other concepts such as “Gamification”, “Social Choice Theory” and “Wisdom of the Crowd”. There are two main purposes for developing the application in this paper:a) For students to have at their disposal some support through which they can deepen their knowledge about the syntactic functions of the parts of speech, a knowledge that they have accumulated during the teaching hours at schoolb) For collecting data about how the students make their choices, how do they know which grammar role is correct for a specific word, these data being primordial for replicating the learning process

Keywords: Natural Language Processing; Gamification (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/ijasitels-2019-0006 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:ijsiel:v:9:y:2019:i:1:p:52-57:n:5

DOI: 10.2478/ijasitels-2019-0006

Access Statistics for this article

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences is currently edited by Daniel Volovici

More articles in International Journal of Advanced Statistics and IT&C for Economics and Life Sciences from Sciendo
Bibliographic data for series maintained by Peter Golla ().