Sentence examples for linguistic measures from inspiring English sources
Regarding the hybrid approach (which corresponded to the use of the aforementioned statistical and linguistic measures together), they combined the knowledge obtained by these adopted measures.
In addition, differences on rater assessments also appeared in the same direction across the two tasks as those differences on the linguistic measures.
An in-depth analysis of learner oral linguistic performance on two different task types, i.e., group interaction and individual presentation, from 30 ESL secondary school students, was conducted using a wide range of linguistic measures of accuracy, fluency and complexity derived from previous L2 speaking studies.
Mann-Whitney U-tests were used to compare linguistic measures between controls and patients, and Wilcoxon signed-rank tests to compare linguistic measures between the clinical stages of Alzheimer's disease (i.e. mild cognitive impairment, mild and moderate stage Alzheimer's disease).
These linguistic measures were calculated as a mean score across all the language samples produced by each child to ensure a higher rate of ecological validity because short samples are typically not reflective of developmental measures such as mean length of utterance.
Despite the importance of cross-linguistic measures of word similarity in bilingual language processing research, to our knowledge only one previous study has collected bilingual measures and made them available to researchers.
In this section we first describe the cross-linguistic measures (P and S similarity, number of translations), followed by the norming data (AoA, concreteness, L2 familiarity) and finally the additional data that we are including in the data set (L1/L2 frequency, L1/L2 number of senses, L1/L2 word length (number of characters/ number of syllables).
Table 4 Pearson product moment correlations between linguistic knowledge measures and essay scores Vocabulary Spelling Grammar Essay score Vocabulary Pearson Correlation 1.228*.302**.574** Sig.
We (re- evaluate data fre- evaluatetive-linguistic performance measures of 99 participants with chronic aphasia using factor analysis to establish functional components andatapport vector regression-based lesion-symptom mapping to determine the neural correlates ofromficits on these functional components.
In linguistic, to measure the similarity between two concepts, semantic similarity is used.
Mutual information (MI) is a common analysis method of calculating linguistic model, measuring reciprocity between the two objects [ 16].
