Calculating Wikipedia article similarity using machine translation evaluation metrics

From WikiPapers
Revision as of 19:34, November 7, 2014 by Nemo bis (Talk | contribs) (CSV import from another resource for wiki stuff; all data is PD-ineligible, abstracts quoted under quotation right. Skipping when title already exists. Sorry for authors and references to be postprocessed, please edit and create redirects.)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

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.

[edit] Abstract

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.

[edit] References

This section requires expansion. Please, help!

Cited by

Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.