Publication details
Efficient Web Crawling for Large Text Corpora
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Proceedings |
| Conference | Proceedings of the seventh Web as Corpus Workshop (WAC7) |
| MU Faculty or unit | |
| Citation | |
| Web | Proceedings of the seventh Web as Corpus Workshop (WAC7) |
| Field | Informatics |
| Keywords | crawler; web crawling; corpus; web corpus; text corpus |
| Description | Many researchers use texts from the web, an easy source of linguistic data in a great variety of languages. Building both large and good quality text corpora is the challenge we face nowadays. We describe how to deal with inefficient data downloading and how to focus crawling on text rich web domains. We present efficiency figures from crawling texts in American Spanish, Czech, Japanese, Russian, Tajik Persian, Turkish and the sizes of the resulting corpora. The idea has been successfully applied for building billions of words scale corpora in six languages. Texts in the Russian corpus, consisting of 20.2 billions tokens, were downloaded in just 13 days. |