Sentence examples for using a corpus of from inspiring English sources
An evaluation using a corpus of trajectory data from 17 people demonstrates that CRPM can extract longer route patterns than current methods.
Our ethnographic study explores im/politeness practices carried out in the Štrbské Pleso holiday resort, Slovakia's prime site of mountain tourism, using a corpus of its public regulatory signage in which directive speech acts of requesting and prohibiting are performed.
Using simple linguistic indicators drawn from conversation analysis in social science, we model the presence of coordination in the communication landscape of Twitter1 using a corpus of 1.5 million tweets for various disaster and non-disaster events spanning different periods, lengths of time, and varied social significance.
The distribution p av ( S, V ) is modeled by the GMM and is trained using a corpus of corresponding AV streams via the Expectation Maximization (EM) algorithm.
In this paper the development of BREXIT is explored using a corpus of 1,641,903 words including 2,435 instances of BREXIT from its first use in May 2012 to the UK general election in 2015.
The evaluation was carried out using a corpus of interactions between the system and an affective user simulator, and also with the interaction of real users with the mental-state version of the system.
We aim to use a corpus of tweets extending across mini-celebrity twitter users from various domains, in order to get a good distribution of topical events, that they have been interested in(tweeting about) and consistent distribution of tweets from "twitter celebrities" who are usually retweeted.
The product uses a corpus of more than one billion facts to categorise every single tweet, post, and blog into an ever-growing hierarchical taxonomy of more than 450,000 topics.
The system, which uses a corpus of 250,000 rules, reads your public and private GitHub repositories and tells you how to fix problems, remain compatible and generally improve your programs.
The experiments used a corpus of the ecology domain (ECO) and achieved 27% of the F-measure while the best F-measure for the same corpus when using inductive learning with 19 characteristics was 24% [5].
Essentially, we used a corpus of titles of papers published in a certain period to predict what will be the major topics (represented as n-grams) in the future.
