{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:20:03Z","timestamp":1740028803424,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"abstract":"<jats:p>In order to detect the extraordinary, a computer must have a model of ordinary interactions. There is enough text on the web in the 420 languages that are represented there for language models to be built. All the text available for most languages can be crawled in a few months. These language models can show how words are normally associated. Unusual associations can then be detected automatically. This article presents an overview our work in building a very large and complete language model from the web for the French language.<\/jats:p>","DOI":"10.3233\/978-1-58603-898-4-241","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:11:46Z","timestamp":1739992306000},"source":"Crossref","is-referenced-by-count":0,"title":["Mining the Web to Build a Complete, Large-Scale Language Model"],"prefix":"10.3233","author":[{"family":"Grefenstette Gregory","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["NATO Science for Peace and Security Series - D: Information and Communication Security","Mining Massive Data Sets for Security"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:21:11Z","timestamp":1739992871000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=1874-6268&volume=19&spage=241"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-58603-898-4-241","relation":{},"ISSN":["1874-6268"],"issn-type":[{"value":"1874-6268","type":"print"}],"subject":[],"published":{"date-parts":[[2008]]}}}