The study investigated the accuracy of non-word production by bilingual and monolingual children. participants (125 children in total) belonged to two groups with different language repertoires one group Lithuanians. analysis revealed that overall performance both was better than group. demonstrated more accurate statistically significant results repeating longer structurally complex non-words....

background and aim: quick speech in noise (q-sin) test has popularity for evaluating speech recognition in noise. the present study has been paid to build five new persian lists with respect to all possible factors affecting the test, to determine validity of the test and to run five lists for normal hearing subjects and assessment of reliability. methods: to build lists, frequent, familiar and...

In this work, we apply classifier fusion to tweet polarity identification problem. The task is to predict whether the emotion hidden in a tweet is positive, neutral, or negative. An asymmetric SIMPLS (ASIMPLS) based classifier, which was proved to be able to identify the minority class well in imbalanced classification problems, is implemented. Word embedding is also employed as a new feature. ...

Lack of training data hinders automatic recognition and prediction of surgical activities necessary for situationaware operating rooms. We propose using knowledge transfer to compensate for data deficit and improve prediction. We used two approaches to extract and transfer surgical process knowledge. First, we encoded semantic information about surgical terms using word embedding which boosted ...

background: finding the right word is a necessity in communication, and its evaluation has always been a challenging clinical issue, suggesting the need for valid and reliable measurements. the homophone meaning generation test (hmgt) can measure the ability to switch between verbal concepts, which is required in word retrieval. the purpose of this study was to adapt and validate the persian ve...