Sentence examples for lookup against from inspiring English sources

The developed system has the pipeline architecture illustrated in Figure 2. Broadly, input text is first segmented into sentences and tokens, lexical processing and shallow syntactic analysis is then performed to assign features such as part-of-speech (POS) tags and additional features are then generated through lookup against various lexical resources.

A long block of text that follows includes this typical sentence: "The Communication Shield checks all DNS lookups against a list of Web sites known to host malware or domain names used for command-and-control of botnets, and then blackholes any site even before a browser can load the page, or before a running piece of malware can retrieve its payloads".

To ensure a fair comparison, we run 3D-lookup against all chains in the database.

We show the costs and benefits of our replication algorithm against previous location lookup approaches through analysis.

We also simulate our algorithm against other location lookup algorithms on a realistic model of a geographical area to evaluate critical system performance measures.

This is the lookup table defining which MTL columns to check against.

From the set of all-against-all BLASTP hits, we save a bitscore for each gene pair in a lookup table.

Vendors can use our Account Lookup page to see what group an account corresponds to, and who can spend against it.

table-lookup performs interpolating table lookup.

The lookup value must be on the left in the lookup table.

Some regular services like reverse lookup are not available either.