Prompt-based Content Scoring for Automated Spoken Language Assessment

Automated Content Scoring of Spoken Responses in an Assessment for Teachers of English

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…

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…

Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks

We consider the automatic scoring of a task for which both the content of the response as well its spoken fluency are important. We combine features from a text-only content scoring system originally designed for written…

Mixtures of Deep Neural Experts for Automated Speech Scoring

The paper copes with the task of automatic assessment of second language proficiency from the language learners' spoken responses to test prompts. The task has significant relevance to the field of computer assisted lang…