Sentence examples for information about linguistic from inspiring English sources

The LEAP-Q (Marian, Blumenfeld, & Kaushanskaya, 2007) is a questionnaire designed to acquire information about linguistic background and is suitable for use with monolinguals and bilinguals.

After filling out an information sheet about linguistic backgrounds, they were seated in front of a computer monitor and instructed to carefully listen to sentences through headphones in order to identify the auditory sentences at the end of each of the two blocks of the experiment.

Regarding phoneme restoration, for example, it could be that the effect is driven by listeners' drawing on information stored in a language-proprietary database (specifically, information about the linguistic types in the lexicon of English), rather than by their background beliefs about the linguistic context.

This extraordinary six-by-three-foot document, showing landholdings and indigenous rulers, has yielded a wealth of information about the artistic, linguistic, and material culture of the Nahua after the Spanish invasion.

bThe difference in MI levels between the speech message and speaker identity may be attributed to the observation that the speech signal encodes more information about the underlying linguistic message than about the speaker.

Notice that while the lower scale (0.25 CPO) clearly provides significantly more information about the underlying linguistic message, the MI peak in Figure3c (bottom) is centered at 1 CPO, highlighting the significance of pitch and harmonically-related frequency channels in representing speaker-specific information.

In the proposed architecture, all modules use the same data structure for gathering linguistic information about input text.

The method, referred to as fuzzy Lyapunov synthesis, extends classical Lyapunov synthesis to the domain of "computing with words", and allows the systematic, instead of heuristic, design and analysis of fuzzy controllers given linguistic information about the plant.

Linguistic information about the speech or singing to be recognized can be used to develop language models.

In this work, we use the part-of-speech tag of words as privileged information, since they represent a linguistic information about the terms located in the documents.

An ANFIS advantage against ANN is that the model provides us with linguistic information about the system, but ANN provides better results for the engine.