DocumentCode
3013091
Title
Meliorated approach for extracting bilingual terminology from Wikipedia
Author
Gupta, Anand ; Goyal, Akhil ; Bindal, Aman ; Gupta, Ankuj
Author_Institution
Dept. of Comput. Sci., Netaji Subhas Inst. of Technol., Delhi, India
fYear
2008
fDate
24-27 Dec. 2008
Firstpage
560
Lastpage
565
Abstract
With the demand of accurate and domain specific bilingual dictionaries, research in the field of automatic dictionary extraction has become popular. Due to lack of domain specific terminology in parallel corpora, extraction of bilingual terminology from Wikipedia (a corpus for knowledge extraction having a huge amount of articles, links within different languages, a dense link structure and a number of redirect pages) has taken up a new research in the field of bilingual dictionary creation. Our method not only analyzes interlanguage links along with redirect page titles and link text titles but also filters out inaccurate translation candidates using pattern matching. Score of each translation candidate is calculated using page parameters and then setting an appropriate threshold as compared to previous approach, which was solely, based on backward links. In our experiment, we proved the advantages of our approach compared to the traditional approach.
Keywords
dictionaries; information retrieval; natural languages; pattern matching; search engines; Wikipedia; automatic dictionary extraction; bilingual terminology; domain specific bilingual dictionaries; knowledge extraction; pattern matching; Computer science; Data mining; Dictionaries; Encyclopedias; Information technology; Natural languages; Pattern analysis; Pattern matching; Terminology; Wikipedia; Automated translation; Bilingual Dictionary; Wikipedia; Wikipedia Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on
Conference_Location
Khulna
Print_ISBN
978-1-4244-2135-0
Electronic_ISBN
978-1-4244-2136-7
Type
conf
DOI
10.1109/ICCITECHN.2008.4803031
Filename
4803031
Link To Document