… Stoplists may be generic or domain specific, and are of course language specific. When a
stoplist … each word in it is checked against the stoplist (for example through dictionary lookup or …

… stop lists are supposed to have included only the most frequently occurring words. In practice,
however, stop lists … can serve as the basis for stop lists for specialized data bases, or as a …

… Abstract: Stoplists are … stoplists in the Classical Language Toolkit (CLTK), an open-source
Python platform for natural language processing research on historical languages. Stoplists …

… The maximum reduction is obtained by placing every variable on the stop-list; we call these
full stoplists. Notice that this is not the same as removing all data dependences as only data …

… stoplist – a list of the words not indexed – is related to indexable matter, to the arrangement
of subentries in indexes, and to search engine optimization. Stoplists … , contains a stoplist that …

… stoplist, and use stochastic search in conjunction with k-means clustering to converge on
stoplists … In this work we introduce the notion of optimising a stoplist, and use stochastic search …

… stoplist based on the system stoplist. With the CREATE FULLTEXT STOPLIST statement,
you can also specify that a stoplist be created empty or populated from another existing stoplist. …

In this brief communication, we evaluate the use of two stopword lists for the English
language (one comprising 571 words and another with 9) and compare them with a search …

… This article extends that study by investigating the use of three further factors—namely, the
application of stop-lists, word stemming, and dimensionality reduction using singular value …

… other stoplists using accuracies obtained from unsupervised clustering experiments. We
find that existing stoplists perform well, but are sometimes outperformed by our new stoplists, …