WR is a new feature extraction technique that uses unsupervised learning algorithms to generate word-level features from an unlabeled corpus.
One of the most representative techniques is word representation (WR) [ 20], which uses unsupervised learning algorithms to generate word-level back-off features from an unlabeled corpus.
A very large dictionary from which to generate word lists for correction is useful but may become a limitation in the following ways.
A z-score may be calculated from the number of correctly generated words allowing for the subject's age.
Wordle generates "word clouds" from text or websites that you input.
The first system generates words.
Having generated word-of-mouth interest from mommy bloggers and Pinterest, the latter which is the service's number one social media site for user acquisition, the now three-person startup will focus on building a complimentary mobile app to accompany the main website.
A cute letter generates word of mouth.
They've generated word of mouth.
