Sentence examples for language variables from inspiring English sources

The decomposed TISO FLC can deal with scalable requirements in terms of number of input language variables, output language variables, data accuracy types and fuzzy rules.

Putative connections of age and language to the neural response dynamics as well as relationships between the language variables serving as predictors were examined with Pearson's correlation.

It also enables analysis of natural language variables and yields detailed survival predictions for patient subgroups selected by the user.

Thus, basic cultural differences in numerical cognition were driven by natural language variables and their specific combination.

This confirms that in the models, the associations between language variables and response changes to non-native vs. native word-forms in the attend conditions were dissimilar, i.e. the predictors showed opposite directions of effects, especially in the case of average AoA for which the models provided significant coefficients for the non-native as well as for native word-form dynamics.

Standard BPEL (Business Process Execution Language) variables, if used to store the data from a data store, cannot be automatically synchronized with the data source in case other applications change the data during the BPEL process execution, which is a common occurrence particularly for long-running BPEL processes.

Nevertheless, their results can be hardly interpreted as causal impacts, as they do not control for the potential endogeneity of the language variable nor for measurement error in the language variable.

The main advantage of this method is that it allows us to account for the potential endogeneity of the language variable.

Therefore, the upward bias of the OLS estimate due to potential ability-bias story is more than offset by the severe downward bias associated with measurement error in the Spanish language variable.

One of the challenges this approach will have to face is that traditional techniques in NLP, designed to model documents or language itself, have limitations when modeling the people behind the language: variable encodings may not be appropriate, distributions may change, and predictive models are not always interpretable for person-level insights [19, 24].

The 'simple' education variable did not show relevant effects which may be the consequence of introducing the language variable.