Sentence examples for predicted texts from inspiring English sources

That was until this week, and now the word "circumcised" has become a suggestion in my predicted texts and I can't stop asking my friends about it; at parties, at the pub, at the gym, in the park, on the street.

At the Telco2.0 conference in November, senior executives from the telecoms industry were polled and predicted text messaging revenues would decline by 37% in three years, and voice revenues by 21% over the same period.

Given established historical patterns, widespread routine reproduction of predicted text-based and instructional effects expressed in a common language and shared frame of reference may lead to significant developments in theory and practice.

When predicting text entry performance time on mobile phones, Fitts' law has been used to measure finger movement times on the keypad.

We leverage on the Automatic Speech Recognition (ASR) system from the HTK Toolkit [49] of Cambridge University for predicting text output of voice signals, which is based on the Hidden Markov Models (HMM).

Looking at a concrete example from the domain of machine learning, consider the task of predicting text sentiment of product reviews where there exists an abundance of labeled data from digital camera reviews.

Starting today, the company is adding two new capabilities to AutoML: AutoML Natural Language for predicting text categories and AutoML Translation, which allows users to upload their own language pairs to achieve better translations for texts in highly specialized fields, for example.

After listwise deletion of cases with missing data on key variables, the final analytic sample size was 559 for models predicting phone ownership and 452 for those predicting text messaging.

From these known interactions we can infer new ones that are even more innovative than those predicted from texts with strict writing style.

T-9® Text Input lets the device predict the text you enter.

AutoML Natural Language helps customers to predict custom text categories specific to domains automatically.