Calculating Wikipedia article similarity using machine translation evaluation metrics
|Calculating Wikipedia article similarity using machine translation evaluation metrics|
|Author(s)||Erdmann M., Finch A., Nakayama K., Sumita E., Hara T., Nishio S.|
|Published in||Proceedings - 25th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2011|
|Keyword(s)||Bilingual Dictionary Construction, Cross-language Document Similarity, Wikipedia Mining (Extra: Bilingual dictionary, Document similarity, Machine translation evaluations, Research areas, Standard machines, Standard method, Wikipedia, Information theory, Translation (languages))|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Calculating Wikipedia article similarity using machine translation evaluation metrics is a 2011 conference paper written in English by Erdmann M., Finch A., Nakayama K., Sumita E., Hara T., Nishio S. and published in Proceedings - 25th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2011.
Calculating the similarity of Wikipedia articles in different languages is helpful for bilingual dictionary construction and various other research areas. However, standard methods for document similarity calculation are usually very simple. Therefore, we describe an approach of translating one Wikipedia article into the language of the other article, and then calculating article similarity with standard machine translation evaluation metrics. An experiment revealed that our approach is effective for identifying Wikipedia articles in different languages that are covering the same concept.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.