no code implementations • NAACL 2021 • Aoife Cahill, James Bruno, James Ramey, Gilmar Ayala Meneses, Ian Blood, Florencia Tolentino, Tamar Lavee, Slava Andreyev
We present a tool that provides automated feedback to students studying Spanish writing.
no code implementations • WS 2018 • Anastassia Loukina, Klaus Zechner, James Bruno, Beata Beigman Klebanov
In this paper we compare the performance of an automated speech scoring engine using two corpora: a corpus of almost 700, 000 randomly sampled spoken responses with scores assigned by one or two raters during operational scoring, and a corpus of 16, 500 exemplar responses with scores reviewed by multiple expert raters.
no code implementations • ACL 2017 • Xinhao Wang, James Bruno, Hillary Molloy, Keelan Evanini, Klaus Zechner
Considering that the measurement of discourse coherence is typically a key metric in human scoring rubrics for assessments of spoken language, we initiated a research effort to obtain RST annotations of a large number of non-native spoken responses from a standardized assessment of academic English proficiency.