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Currently, many data-driven approaches have been applied to the problem, as a backup strategy for those cases where dictionary matching fails.
Forthcoming texts will cover case studies, conversation analysis, elicited imitation, data-driven modeling, and speech acts.
Yet, there is a growing interest in data-driven methods that attempt to make better use of smaller amounts of data.
Therefore, an automatic data-driven selection method, such as the cross-validation method, is recommended.
The learning of finite languages is a very conservative, data-driven process.
This is interesting because (10.8) is a data-driven thresholding rule which adapts to the sparsity of the signal.
That the group chooses to present data-driven papers is undoubtedly a measure of the recent practice of modern-world archaeology in the republic.
It can be improved by using data-driven heuristics to rate the plausibility of each problem solver at the outset of the problem solving process.
If it did, it would degenerate into data-driven positivism with counting as its only methodology.
The findings are discussed in terms of recent data-driven learning accounts of grammar acquisition.
It is obvious, then, that typology is both data-driven and theorydependent, and that the interaction between these two approaches is essential to its development.
It is thoroughly data-driven and teaches the student to pay attention to empirical details and to find linguistic patterns and explanations for them.
Computationally, the duality between call-by-name and call-by-value can be understood as a duality between demand-driven and data-driven computation, which reverses the direction of data.
There is a small existing literature on data-driven syllabification.
Finally, test and training data set sizes can have a profound effect on results of data-driven approaches to language learning.
