Indexing of large n-gram collection
author: Patrik Zajec,
Artificial Intelligence Laboratory, Jožef Stefan Institute
published: Oct. 21, 2015, recorded: October 2015, views: 1910
published: Oct. 21, 2015, recorded: October 2015, views: 1910
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
This paper presents an efficient indexing technique suitable for indexing large n-gram collections with an emphasis on full wildcard query support and speed efficiency. Further we used this technique in building the n-gram search engine, on top of Google’s Web 1T 5-gram collection, whose advantages are interactive querying and fast result retrieval with tradeoff on higher memory consumption.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: