BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Semantic Convergence of Wikipedia Articles
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Information arbitrage across multi-lingual Wikipedia
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
The singularity is not near: slowing growth of Wikipedia
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Extracting parallel sentences from comparable corpora using document level alignment
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Findings of the 2011 Workshop on Statistical Machine Translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Omnipedia: bridging the wikipedia language gap
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving document clustering using automated machine translation
Proceedings of the 21st ACM international conference on Information and knowledge management
Hi-index | 0.00 |
Wikipedia is an online free and open access encyclopedia available in many languages. Wikipedia articles across over 280 languages are written by millions of editors. However, the growth of articles and their content is slowing, especially within the largest Wikipedia language: English. The stabilization of articles presents opportunities for multilingual Wikipedia editors to apply their translation skills to add articles and content to smaller Wikipedia languages. In this poster, we propose similarity and activity measures of Wikipedia articles across two languages: English and German. These measures allow us to evaluate the distribution of articles based on their knowledge coverage and their activity across languages. We show the state of Wikipedia articles as of June 2012 and discuss how these measures allow us to develop recommendation and verification models for multilingual editors to enrich articles and content in Wikipedia languages with relatively smaller knowledge coverage.