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We search first, in the training corpus, the lowest probability of the targeted terms.
This rule relies on the full path probabilities of the targeted terms, normalized by the segment duration.
They approximated term frequency by backing off to the frequency of the phonetic substrings of the targeted terms.
Spotting by using ASR systems is known to be focused on accuracy, since the prior probability of having the targeted terms in a transcription is low.
The targeted terms are used as a priori transcripts, leading to a slight boosting of the linguistic scores of the hypotheses that match the query.
At the first level, fast-matching is viewed as a filtering task that aims to accept or reject segments, according to the probability of the targeted terms being inside.
Similar(49)
In 1991, two seminal papers (Bailey, 1991; Stephanopoulos & Vallino, 1991) introduced a novel systematic approach of genetic modification where multiple genes were targeted, termed 'metabolic engineering'.
"We are working to refine our targeting terms in case any further pages like these are created.
To avoid confusion, we use the terminology auto-sensor term and cross-sensor term to emphasize how to distinguish them from auto-target term and cross-target term.
Category mismatches occur when the source term and target term have strong lexical similarity but belong to different categories.
The matching process returns the matching candidates ranked using the total proportion of words that are common between the source term and target term.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com