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Document attrition in web corpora: An exploration

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date1/01/2012
Host publicationProceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012
PublisherEuropean Language Resources Association (ELRA)
Pages1486-1489
Number of pages4
ISBN (Electronic)9782951740877
<mark>Original language</mark>English
Event8th International Conference on Language Resources and Evaluation, LREC 2012 - Istanbul, Turkey
Duration: 21/05/201227/05/2012

Conference

Conference8th International Conference on Language Resources and Evaluation, LREC 2012
Country/TerritoryTurkey
CityIstanbul
Period21/05/1227/05/12

Conference

Conference8th International Conference on Language Resources and Evaluation, LREC 2012
Country/TerritoryTurkey
CityIstanbul
Period21/05/1227/05/12

Abstract

Increases in the use of web data for corpus-building, coupled with the use of specialist, single-use corpora, make for an increasing reliance on language that changes quickly, affecting the long-term validity of studies based on these methods. This 'drift' through time affects both users of open-source corpora and those attempting to interpret the results of studies based on web data. The attrition of documents online, also called link rot or document half-life, has been studied many times for the purposes of optimising search engine web crawlers, producing robust and reliable archival systems, and ensuring the integrity of distributed information stores, however, the affect that attrition has upon corpora of varying construction remains largely unknown. This paper presents a preliminary investigation into the differences in attrition rate between corpora selected using different corpus construction methods. It represents the first step in a larger longitudinal analysis, and as such presents URI-based content clues, chosen to relate to studies from other areas. The ultimate goal of this larger study is to produce a detailed enumeration of the primary biases online, and identify sampling strategies which control and minimise unwanted effects of document attrition.