Sentence examples for transform the text from inspiring English sources
Mortensen, who speaks Quebecois French, Argentine Spanish, and a bit of Algerian Arabic, and can get by in the Russophone underbelly of London, had helped transform the text into an English version that he considered faithful to the author.
Next, TF-IDF [1] method is used to calculate the weight of each feature of each text to transform the text into a feature vector.
Finally, damage realistic 3D scenarios, originally designed for fictional game environments and adapted here for eventual reality, are striking tools that transform the text and visual description of the EMS98 damage scale into a believable 3D damage scene.
According to Rosenzweig, the task of the translator was not to transform the text being translated into a form that would be easily accessible to those reading it in its new language, but rather to transform the language into which the text was being translated through this very introduction of a foreign text into it.
For added speed and flexibility, the Galaxy 5 allows you to first write the text before deciding the best way to share it – you will have the freedom to transform the text into a Facebook status update, life stream on Twitter, or a personalized note to a friend via text or e-mail.
You can turn yourself into a monster with its own ecosystem, create a geode rock crystal based on your relationships, or transform the text from your profile into a jokey horoscope.
Then the team at Modern Painters and 21 transformed the text into a small, beautifully made and copiously illustrated artist's monograph.
Software developed in recent years transforms the text sequences of DNA into digital data that a computer can read and play.
In Michelson's installation "Permanent Title," from 1993, a series of charcoal rubbings on muslin sacks transforms the text of signage on buildings in lower Manhattan into a portable cemetery, evoking headstones in graveyards.
Feature extraction was represented by transforming the text into numerical features applicable for the ML models.
These steps will be described further below: Text normalisation is a preprocessing step that transforms the text into a format that is consistent for tagging.
