Sentence examples for a lot of robust from inspiring English sources

The phrase "a lot of robust" is not correct in standard written English.
It is typically used when describing a significant quantity or degree of something that is strong or effective, but the combination is awkward and unclear.
Example: "We have a lot of robust solutions to address the challenges we face."
Alternatives: "many strong" or "a great deal of sturdy".

Exact(6)

And I'm not sure that there is a lot of robust feedback.

With a colleague, John Guest, she had already put in a lot of robust work as one of its two editors.

My dad is in a group called the Keelers, who sing a lot of robust, powerful sea shanties, and we went to a lot of festivals and singarounds.

A lot of robust speech recognition approaches have been proposed to reduce the acoustic mismatch in the past few decades and most of them can be categorized into feature compensation, model adaptation, and uncertainty-based approaches [2].

If students are not supposed to argue policies pertaining to the "rich" and "poor," or should avoid talking about "Americans" or "illegal aliens," obviously a lot of robust debate is lost.

"The kids asked a lot of robust and interesting questions," Iversen said.

Similar(54)

The Long And The Short And The Tall was revived in 1971 at the Shaw Theatre, when a lot of the robust language originally removed by the Lord Chamberlain was patiently restored.

In the literature, there have been a lot of different robust local image features proposed, among which the SIFT-based features possess the best results compared with other local features in the context of matching and recognition under various image deformations [35].

We're spending a lot of time building robust technology that can help effectively bring healthcare to the community.

The themes of the play are, I suppose, death and family, but, of course, this is a Pinter play, so there's a lot of, shall we say, robust humor--a lot of piss and vinegar".... Reisz insists that doing a Pinter play isn't so much a matter of interior exploration.

The comparison between the conventional linear SVM based classifiers and neural network based classifying agents shows that the LS-SVM with LSI based classifying agents improves text categorization performance significantly and holds a lot of potential for developing robust learning based agents for text classification.

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