Difference between revisions of "BrWaC"
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== Classification according to readability levels == | == Classification according to readability levels == | ||
| − | During our studies, the whole corpus was annotated with 134 different textual attributes and classified according to | + | During our studies, the whole corpus was annotated with 134 different textual attributes and classified according to readability levels by four different learning models with different characteristics. For more information about these experiments, please check our publications or contact us. |
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== Publications == | == Publications == | ||
Revision as of 11:19, 18 February 2017
The Brazilian Portuguese Web as Corpus is a large corpus constructed in our lab following the Wacky framework, which was made public for research purposes.
Current version
The current corpus version, released in January 2017, is composed by 3.53 million documents, 2.68 billion tokens and 5.79 million types (TTR 0.0021), and was completely parsed with the Palavras parser. It is available trough the NoSketch Engine platform in our server, accessible in http://nlpserver2.inf.ufrgs.br/brwac/ . For other forms of access, please contact us directly.
Classification according to readability levels
During our studies, the whole corpus was annotated with 134 different textual attributes and classified according to readability levels by four different learning models with different characteristics. For more information about these experiments, please check our publications or contact us.
Publications
- Jorge Alberto Wagner Filho, Rodrigo Wilkens and Aline Villavicencio. Automatic Construction of Large Readability Corpora. In 1st Workshop on Computational Linguistics for Linguistic Complexity (CL4LC). (PDF).
- Jorge A. Wagner Filho, Rodrigo Wilkens, Leonardo Zilio, Marco Idiart, and Aline Villavicencio. Crawling by readability level. In 12th International Conference on Computational Processing of the Portuguese Language (pp. 306-318). Springer International Publishing. (Springer).
