DocumentCode
239793
Title
Multilingual acquiring of e-content definition based on universal networking language
Author
Sathiyamurthy, K. ; Panimalar, Dj ; Pandian, S. Lakshmana
Author_Institution
Comput. Sci. & Eng., Pondicherry Eng. Coll., Pondicherry, India
fYear
2014
fDate
19-20 Dec. 2014
Firstpage
240
Lastpage
244
Abstract
E-content information that exists in the web are available only in a particular language. But people who know only the local language may not be able to use these resources, though they are available. The UNL infrastructure intends to overcome the language barrier over the Internet. It is used to enconvert the information from any natural language into the form of universal semantic networks and then deconvert into any other required languages. A framework towards conversion of e-content from web that exhibit in the English language to UNL is presented in this paper. This approach involves conversion of dependency relation extracted from the parser into UNL relation and identifies pedagogical clues to determine the level of e-content according to the educational taxonomy.
Keywords
Internet; computer aided instruction; grammars; natural language processing; semantic networks; English language; Internet; UNL relation; Web; dependency relation conversion; e-content conversion; e-content definition acquisition; e-learning; educational taxonomy; language barrier; lifelong learning context; natural language; parser; universal networking language; universal semantic networks; Computer science; Computers; Dictionaries; Educational institutions; Electronic learning; Natural languages; Semantics; Stanford parser; UNL; dependency tree; e-content; phrase structure;
fLanguage
English
Publisher
ieee
Conference_Titel
MOOC, Innovation and Technology in Education (MITE), 2014 IEEE International Conference on
Conference_Location
Patiala
Type
conf
DOI
10.1109/MITE.2014.7020280
Filename
7020280
Link To Document