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spoken language scoring

topic1 events
papersTODAY 04:00 UTC

Automated Speaking Assessment Model Adds Relevance and Grammar Error Cues

A new arXiv paper proposes improvements to automated speaking assessment systems, which currently underuse content relevance signals such as image or exemplar prompts. The authors also address shallow grammar analysis by incorporating more granular grammar error type information into the evaluation. The work targets multi-aspect scoring of spoken language for assessment purposes.

speech-assessment/grammar/nlp/education