Sentence examples for conversational measures from inspiring English sources

There was a significant relationship between change in picture naming after therapy and change in the two conversational measures incorporating nouns (number of nouns/5 mins of conversation, r = 0.50, p < 0.05, one-tailed and nouns/substantive turn, r = 0.56, p < 0.05, one-tailed).

This study examined the relationship between performance on standardized measures of language proficiency and conversational measures of the same features used in academic discourse among 24 monolingual and 25 bilingual kindergarteners.

Tom Roeper, a linguist at the University of Massachusetts, Amherst, points out that measures of conversational turns and the like can't reflect a child's mastery of syntax.

However, little is known about the extent to which bilingualism influences performance on measures of conversational understanding a process that is often central to cognitive development and learning [14], [15].

Nevertheless, extracting meaning in conversations with others is a complex process [54], [55], and the CVT used in our investigation is not intended to be a fully comprehensive measure of conversational understanding but is restricted to certain key dialogue themes in which children are often involved.

This paper proposes, presents, and validates a simple survey instrument to measure student conversational networking.

The aim of this paper is to propose, present, and validate a simple survey instrument to measure student conversational networking.

Nevertheless, the measure is grounded in conversational analysis, and it is naturalistic everyday conversations that are evaluated for change.

On the basis of recordings from 314 families, Infoture engineers claim that the number of conversational turns and the entropy measure track closely with language ability as determined by speech professionals.

Similar skewed distributions have also recently been measured for the conversational contacts of school children ages 6 13 years [ 14].

In this work, the effects of reranking for word error rate (WER) or reranking for the Sparseval parse-quality measure are examined in conversational speech recognition, while considering the impact of automatic segmentation.