Suprasegmental features have received growing attention in the field of oral assessment. In this article we describe a set of computer algorithms that automatically scores the oral proficiency of non-native speakers using unconstrained English speech. The algorithms employ machine learning and 11 suprasegmental measures divided into four groups…

This article reports on a study of foreign students' success in higher education in Norway and focuses specifically on the relation between academic success and students' proficiency level of Norwegian as measured by a CEFR-based university entrance test. This study is distinguished from prior studies because it sets out to investigate not only…

In the last 15 years or so, language testing practitioners have increasingly favored assessing vocabulary in context. The discrete-point vocabulary measure used in the old version of the Test of English as a Foreign Language (TOEFL) has long been criticized for encouraging test candidates to memorize wordlists out of context although test items…