Using an Ontology for Improved Automated Content Scoring of Spontaneous Non-Native Speech

Toward Automated Content Feedback Generation for Non-native Spontaneous Speech

In this study, we developed an automated algorithm to provide feedback about the specific content of non-native English speakers{'} spoken responses. The responses were spontaneous speech, elicited using integrated tasks…

Content Modeling for Automated Oral Proficiency Scoring System

We developed an automated oral proficiency scoring system for non-native English speakers{'} spontaneous speech. Automated systems that score holistic proficiency are expected to assess a wide range of performance catego…

Using Ontology-based Approaches to Representing Speech Transcripts for Automated Speech Scoring

Using Rhetorical Structure Theory to Assess Discourse Coherence for Non-native Spontaneous Speech

This study aims to model the discourse structure of spontaneous spoken responses within the context of an assessment of English speaking proficiency for non-native speakers. Rhetorical Structure Theory (RST) has been com…

Investigating neural architectures for short answer scoring

Neural approaches to automated essay scoring have recently shown state-of-the-art performance. The automated essay scoring task typically involves a broad notion of writing quality that encompasses content, grammar, orga…