Sentence examples for language evaluations from inspiring English sources

We give results for the 2003 NIST speaker and language evaluations of the system and also show fusion with the traditional GMM approach.

It is also important to note that all testing was administered at one facility for the purposes of assessing the efficacy of performing these language evaluations.

We included English or French language evaluations if they assessed the completeness of reporting as a primary intent and included studies enabling the comparisons of interest (after versus before journal endorsement and/or endorsing versus non-endorsing journals).

Thus far, there have been few studies comparing the efficacy of language evaluations in TM, particularly focusing on dementia assessments, due to the belief that speech and language assessments challenge the logistical and technical aspects of tele-assessment more than most clinical medical applications.

English or French language evaluations of included reporting guidelines were eligible if they assessed the completeness of reporting of studies as a primary intent and those included studies enabled the comparisons of interest (that is, after versus before journal endorsement and/or endorsing versus non-endorsing journals).

With the families followed same direction and combined systemic and interactive perspectives in the language evaluation and intervention.

Derivatives of the GOMS model such as the Cognitive Perceptual Model GOMS, Natural GOMS Language, GOMS Language and GOMS Language Evaluation and Analysis were reviewed.

In the research scenario, junior high school students brought their Android-based smart phones to class in order to engage in language evaluation activities, where an application (app) called Socrative was used as a learning assessment tool.

Telemedicine can improve access to speech and language evaluation services which is relevant to both dementia and other neurological diseases of the elderly.

The author of this English report reviewed the evaluation framework and the Chinese language reports, discussed with the evaluation teams and synthesized key components from the two Chinese language evaluation reports provided by the group of injury prevention experts in Beijing and the Jiangxi Provincial Institute of Chronic Disease.

The cross-language evaluations show significant performance differences between the two voice-creation algorithms across all of the evaluated languages.