Sentence examples for identification of word from inspiring English sources

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The identification of word boundaries in continuous speech is a critical first step in language acquisition that can be accomplished via statistical learning and reliance on speech cues.

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It provides for the identification of words, phrases, and punctuation.

In this model, there are two parallel routes during the identification of words.

Even if there was no main effect of emotion prime (F1,17 = 1.89, P = .19), depending on the SOA, fear and disgust primes distinctively interfered with the identification of words.

Space was also provided for comments and identification of words not understood.

This paper investigates the meaning of the linguistic metaphor in more detail in protein sequences, with particular emphasis on the identification of words.

Most of the studies investigating the effect of word frequency on speech perception have found that there is a significant bias favoring the identification of words with a higher frequency of occurrence as compared to low-frequent words [ 32].

In their experiment, subjects had to fixate on a cross on a computer screen; below or above it, words with negative connotations (eg, "senile", "dependent", etc) or positive connotations (eg, "enlightened", "insightful", etc) for elderly people were flashed for a very short time, preventing the identification or recognition of words (thus, stereotype perception was not conscious).

However, because of the different morphological construction of words in these languages compared to Latinate languages, the important consideration for word recognition in Arabic (and other Semitic languages) is the efficient identification of a word's morphological root [31], [32], [46], [48], [50] [52], [83], [84].

In the 'Blind identification of code word length in the noisy case' section, the blind identification method of the code word length in noisy environment is described.

The blind identification of code word length has already been extensively studied in the case of binary error-correcting codes.

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