This study examines the role of cross-linguistic transfer versus general processing strategy in two groups of heritage speakers (n = 28 per group) with the same heritage language -- Russian -- and typologically different dominant languages: English and Estonian. A group of homeland Russian speakers (n = 36) is tested to provide baseline…

As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…

The aim of this study was to explore automaticity of lexical access and executive functions of language learners and bilinguals while considering their language automaticity. Three groups of youths aged 14 to 18 were tested: Croatian-German early bilinguals, Croatian high school students who participated in a German immersion programme at school…

This dissertation aims to identify the locus of L2 processing inefficiency. Previous studies suggest that non-native processing is a specific result of an inefficient predictive mechanism that limits the ability of learners to generate linguistic expectations (Gruter, Rohde, & Schafer, 2014; 2016). Thus, this study employs two distinct online…

This report describes the initial automated scoring results that were obtained using the constructed responses from the Writing and Speaking sections of the pilot forms of the "TOEFL Junior"® Comprehensive test administered in late 2011. For all of the items except one (the edit item in the Writing section), existing automated scoring…

The purpose of this study was to determine the extent to which performance on the TOEFL iBT speaking section is associated with other indicators of Japanese university students' abilities to communicate orally in an academic English environment and to determine which components of oral ability for these tasks are best assessed by TOEFL iBT. To…

Explores the potential of a neural network in language assessment. Nonnative speakers of French were asked to produce a short text in response to a picture stimulus. A neural network was trained to grade the text on the basis of codings. Results suggest that it may be possible to teach a neural network to mimic the judgments made by human markers.…