We examine the ability of supervised text classification models to identify several discourse properties from teachers' speech with an eye for providing teachers with meaningful automated feedback about the quality of their classroom discourse. We collected audio recordings from 28 teachers from 10 schools in 164 authentic classroom sessions,…

This paper discusses the sociolinguistic problems inherent in multilingual testing, and the accompanying dangers of cultural bias in either the visuals or the language used in a given test. The first section discusses English-speaking Americans' perception of foreign speakers in terms of: (1) physical features; (2) speech, specifically vocabulary,…