Sentence examples for generating language from inspiring English sources

Thus, clusters of neurons are capable of parsing and generating language, decomposing tasks, generating plans, and executing scripts.

The findings, reported by Dr. Mriganka Sur and his colleagues in the April 20 issue of Nature magazine, contradict popular theories on how animal brains develop specialized regions for seeing, hearing, sensing touch and, in humans, generating language and emotional states.

The speaker is generating language, while the analyst is parsing language, and doing so for very different reasons.

Since then the company has expanded its offerings to include a suite of APIs for parsing, reasoning about and generating language.

"The last few years have seen AI models pushing the boundaries of understanding and generating language most notably in news translation," Tetreault explains.

Therefore the analysis of syntactic structure takes us only partway towards mechanizing that central function, and the merits of particular approaches to syntax hinge on their utility in supporting semantic analysis, and in generating language from the meanings to be communicated.

How we understand and generate language is something that has fascinated psychologists since the dawn of the discipline.

While the military over all has been criticized as moving slowly, individual units are taking it upon themselves to generate language capabilities.

The hope is that techniques that have produced spectacular progress in voice and image recognition, among other areas, may also help computers parse and generate language more effectively.

LangoLab leverages the American media machine that is constantly churning out entertaining content and then provides an engaging "watch and learn" experience complete with translations, definitions, user generated language notes, and self testing.

We used the same material as in the first experiment, but to simulate the case in which the spoken utterance is not present in the list, we also generated language models in which the correct utterance is left out.