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- W781723307 abstract "We propose a technique to prepare the Google 1T n-gram data set for wildcarded frequency queries with a very low turnaround time, making unbatched applications possible. Our method supports token-level wildcarding and -- given a cache of 3.3 GB of RAM - requires only a single read of less than 4 KB from the disk to answer a query. We present an indexing structure, a way to generate it, and suggestions for how it can be tuned to particular applications." @default.
- W781723307 created "2016-06-24" @default.
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- W781723307 date "2012-06-03" @default.
- W781723307 modified "2023-09-24" @default.
- W781723307 title "Indexing Google 1T for low-turnaround wildcarded frequency queries" @default.
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