Sentence examples for large scale language from inspiring English sources

It is hoped that this research will prompt the tests' developers to move in that direction and adopt what is now standard practice for large scale language testing.

Large-scale language analysis might be interesting precisely because it raises questions — not because it answers them.

Integrated reading-into-writing tasks are increasingly used in large-scale language proficiency tests.

With recent progress in the development of machines with human-like intelligence in learning as well as the increase in computing power and the availability of big data (Chouard and Venema 2015), automated scoring systems have been developed and used in large-scale language assessments.

All of these optimization problems are NP-hard and have practical applications in VLSI (Very Large Scale Integration), computer language compiler design or graph drawing.

The difficulties of building large-scale speech corpora are more serious in under-resourced languages.

The moderately strong correlation coefficients found among the scores for the three speaking tasks are common for standardized tests, as many large-scale, English language proficiency tests report even higher correlations (ETS, 2011; Zhang, 2008).

All features are used for decoding in speech recognition systems with deep neural network (DNN) based acoustic models and large-scale RNN language models to achieve high recognition accuracy in noisy environments.

This anchoring in known and actionable goals makes the Compact vastly different than the soaring language of LEARN and LAAMP, the large scale reforms of the 1990s.

The Pipeline programming language is a visual environment for expressing large scale parallel computation.

This very feature and its many other capabilities also make it one of the most difficult languages to learn and handle on a large scale.